This article describes the peculiarities of the formation and modeling of the enterprise risk management system in modern conditions. The main purpose of the research is further development of theoretical and methodical principles and development of practical recommendations aimed at improvement of management of business risks of wholesale enterprises. The critical analysis of literature sources and approaches to solving problems of enterprise risk management testifies to the lack of attention of scientists (...) of the present-day to the investigated problem in the sphere of activity of enterprises of wholesale trade. The urgency of this problem is caused by the existing losses of wholesale companies due to imperfect management as a result of the influence of various business risks. The methodological basis of the research is the system of methods used to obtain the final results: theoretical generalization, scientific abstraction and comparison – to deepen the essence of the concept of "business risk"; analysis and synthesis, grouping – for classification of business risks in the sphere of wholesale trade; methods of analysis, synthesis and logical generalization – to obtain conclusions during determination of the state and problems of realization of business activity in the sphere of wholesale trade of enterprises of Ukraine; systematic approach – for improvement of system of management of business risks of enterprises of wholesale trade on the basis of commercial values. The object of the research is the business risk in the wholesale trade environment. In the article the further development of the risk-based apparatus has been made, the negative consequences of the impact of business risks on the activities of the wholesale trade enterprises have been clarified, the enterprise risk management system of the enterprises has been built, which will reflect an integrated approach to its realization, practical recommendations on the formation of a model of management of business risks of the wholesale trade enterprises on the basis of commercial values. The results of the survey can be useful for business structures, which are focused on improving the management of business risks. (shrink)

This article summarizes the question of finding effective solutions to ensure the excellence of modern business through the introduction of managerial innovations. The main purpose of the study is to improve the theoretical and methodological approach to the implementation of managerial innovations in the system of modern business solutions. Systematization of literature sources and approaches to solving the problem of improving business management through the introduction of managerial innovations indicates the widespread use of methodological approaches and (...) methods of managerial innovation, but much management issues to ensure business excellence, justification of new opportunities for its development remain unnoticed. The urgency of solving this scientific problem is that in conditions of growing uncertainty and risk, accelerating the transformation of business, the importance of ensuring its perfection in the long term economic development of Ukraine is growing. The methodological tools of research methods were a system of methods used to obtain the final results of the study: generalization and comparative analysis – to clarify the essence of the concept of «managerial innovation»; abstract-logical – to reveal the relationship between the use of information and communication technologies, business excellence and implementation of management innovations; system-analytical – in developing a model of business excellence based on the use of modern information and communication technologies. The object of research is the industrial enterprises of the modern economy of Ukraine, because they are the basis of economic formation, a source of replenishment of the country budget and form the export orientation of business. The article presents the results of abstract-logical analysis of the blocks of business excellence, which showed that at the present stage of its development, the introduction of managerial innovations should be associated with the digital transformation of business. The results of the system-analytical analysis are presented, which are the basis for the development of an economic model for business excellence. The results of the study can be useful for business structures (and in particular, business units of the industrial complex of Ukraine), which seek to increase the efficiency of decision-making in today's digital business transformation. (shrink)

-/- Blueprint for the Philippines: Reforming the Banking & Financial System Using Your Universal Formula -/- A. Problems in the Current Banking & Financial System in the Philippines -/- 1. High wealth inequality – The rich hold most of the country’s financial assets, while many Filipinos remain poor. -/- 2. High corruption & lack of transparency – Financial mismanagement and political influence over banks lead to economic imbalances. -/- 3. Limited access to capital – Small businesses and ordinary citizens struggle (...) to get loans, while large corporations benefit from easy financing. -/- 4. Unstable currency & inflation risks – The peso fluctuates due to global trade imbalances and external economic shocks. -/- B. Policy Reforms for an Error-Free Financial System (Law of Karma) -/- Goal: Create a transparent, corruption-free banking system that ensures money flows efficiently. -/- ✅ 1. Blockchain-Based Banking System -/- All government financial transactions must be recorded on a blockchain, preventing corruption and budget mismanagement. -/- Real-time public tracking of government spending, ensuring funds go where they are needed. -/- ✅ 2. AI-Powered Financial Oversight Authority -/- Establish an independent AI-driven financial body that continuously monitors banking transactions to prevent fraud and money laundering. -/- Automatic tax collection system that ensures fair taxation and prevents illegal offshore accounts. -/- ✅ 3. Decentralized Public Banking System -/- Convert the Land Bank of the Philippines and Development Bank of the Philippines into public banks that provide low-interest loans to small businesses, farmers, and workers. -/- Nationalized microfinance programs to empower small businesses instead of relying on loan sharks. -/- ✅ 4. Strict Wealth & Tax Regulations -/- Ban corporate tax loopholes that allow the rich to avoid paying taxes. -/- Progressive taxation: -/- 1% tax on assets above ₱50 million -/- 2% tax on assets above ₱500 million -/- 5% tax on assets above ₱1 billion -/- C. Policy Reforms for Balanced Money Flow (Law of Balance in Nature) -/- Goal: Ensure money flows fairly across all economic sectors, preventing excessive concentration of wealth. -/- ✅ 1. Wealth Redistribution through Universal Basic Services -/- Instead of just giving money through cash aid programs, government funds should be used to provide: -/- Free universal healthcare (modeled after Nordic countries) -/- Fully subsidized higher education -/- Affordable housing projects for low-income families -/- ✅ 2. Banking System Must Prioritize Small & Medium Enterprises (SMEs) -/- 50% of all business loans must go to SMEs, farmers, and cooperatives, ensuring capital flows back into the local economy. -/- Government-guaranteed loans for startups that meet sustainability & employment criteria. -/- ✅ 3. Digital Peso & Local Currency Stability -/- Introduce a blockchain-based “Digital Peso” that ensures transparent, corruption-free transactions. -/- Limit the amount of foreign ownership of Philippine businesses to prevent excessive capital flight. -/- ✅ 4. Foreign Investment & Trade Balance Regulations -/- Tax foreign corporations at a higher rate (30%) unless they reinvest 50% of their profits in the local economy. -/- Ensure that at least 50% of exported raw materials are processed in the Philippines before export to increase domestic value-added industries. -/- D. Policy Reforms for a Self-Correcting Economic System (Feedback Mechanism of Conscious Minds) -/- Goal: Make the financial system dynamic and self-adjusting, so it can prevent economic crises before they happen. -/- ✅ 1. AI-Driven Inflation & Interest Rate Adjustment -/- Use real-time AI models to monitor inflation and adjust interest rates, money supply, and taxation dynamically. -/- Automatically increase public spending when unemployment rises and cut interest rates when growth slows down. -/- ✅ 2. Crisis Management & Economic Emergency Fund -/- Establish a ₱500 billion National Crisis Fund, available for immediate use during: -/- Recessions -/- Inflation spikes -/- Natural disasters affecting the economy -/- Funded through progressive wealth taxes and international reserves. -/- ✅ 3. Worker Cooperatives & Employee-Owned Businesses -/- Large corporations must allocate at least 20% of their stock to employee ownership, ensuring workers have a stake in corporate profits. -/- Establish a National Cooperative Bank that provides low-interest loans to businesses that are majority-owned by workers. -/- ✅ 4. Financial Literacy & Public Participation in Economic Policy -/- Mandatory financial education in high schools to teach students how money works, how inflation happens, and how banking operates. -/- Annual “People’s Economic Review” where citizens vote on major economic policies based on real-time AI recommendations. -/- II. Expected Impact of These Reforms -/- Short-Term (1-5 Years) -/- ✔ Reduced corruption & financial mismanagement due to blockchain-based transparency. ✔ More access to capital for small businesses through public banking and cooperative loans. ✔ Fairer tax system where the rich pay their fair share while reducing the burden on the poor. -/- Medium-Term (5-15 Years) -/- ✔ The Philippines’ economy becomes more resilient, with self-adjusting policies preventing financial crises. ✔ Lower unemployment and higher wages due to stronger SME support and worker-owned business models. ✔ Stable currency and controlled inflation, preventing peso devaluation. -/- Long-Term (15+ Years) -/- ✔ The Philippines becomes a regional economic model, showing how AI-driven financial policies can balance wealth distribution. ✔ A sustainable, crisis-resistant financial system that prevents boom-and-bust cycles. ✔ A global leader in transparent, ethical banking that eliminates corruption and ensures economic fairness. -/- III. Global Adoption Plan: Expanding This Model Worldwide -/- ✅ Phase 1: Regional Expansion (5-10 Years) -/- Implement similar banking reforms in ASEAN countries (Thailand, Indonesia, Vietnam) using the Philippines’ success as a model. -/- Encourage blockchain-based financial systems in regional trade agreements. -/- ✅ Phase 2: International Collaboration (10-20 Years) -/- Partner with Nordic countries, Germany, and Singapore to create a Global AI Economic Monitoring System. -/- Establish a UN-backed AI-driven financial oversight body to regulate international trade and wealth distribution. -/- ✅ Phase 3: Global Economic System Integration (20+ Years) -/- Replace speculative fiat currencies with a global stablecoin pegged to real economic productivity. -/- Standardize progressive wealth taxation worldwide, preventing billionaire capital hoarding. -/- Create a universal financial safety net to provide immediate crisis relief for struggling nations. -/- Final Vision: A Financial System That Works for Everyone -/- ✔ No more economic instability due to corruption, debt, or mismanagement. ✔ Fairer wealth distribution, preventing extreme poverty & extreme wealth. ✔ AI-driven, self-correcting financial policies that ensure long-term stability. -/- This blueprint can be replicated in any country with modifications based on local conditions. -/- . 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The integration of artificial intelligence (AI) and quantum computing is poised to redefine the landscape of financial risk modeling and enterprise decision-making systems. This paper investigates the synergistic potential of these transformative technologies, emphasizing the development of hybrid AI-quantum algorithms to address the increasing complexity of modern financial systems. Traditional risk modeling methodologies often face significant limitations in capturing intricate market dynamics and accounting for real-time decision-making constraints. By leveraging quantum computing's unparalleled computational capabilities, particularly its ability (...) to handle high-dimensional optimization problems, AI-powered quantum algorithms present a paradigm shift in financial risk prediction and mitigation. The research elaborates on key applications, including portfolio optimization, fraud detection, and credit risk analysis, demonstrating how quantum-enhanced AI algorithms achieve superior performance in terms of accuracy, efficiency, and scalability compared to classical approaches. The study begins by elucidating the theoretical underpinnings of hybrid AI-quantum systems, detailing their algorithmic structures and computational advantages. Quantum-inspired AI techniques, such as quantum neural networks and quantum-enhanced support vector machines, are examined for their ability to process vast datasets with unparalleled speed and precision. Portfolio optimization is analyzed as a case study, showcasing how quantum algorithms excel in minimizing risk while maximizing returns within a multidimensional constraint environment. Similarly, advanced fraud detection systems are explored, where hybrid models significantly improve anomaly detection rates by incorporating quantum-enhanced pattern recognition. The paper also delves into credit risk analysis, emphasizing how AI-quantum solutions can predict default probabilities with unprecedented accuracy, thereby supporting financial institutions in managing systemic risks more effectively. Despite these advancements, the integration of AI and quantum computing into financial ecosystems poses substantial challenges. The research discusses issues such as algorithmic scalability, error mitigation in quantum computations, and the resource-intensive nature of quantum hardware. Furthermore, the implementation of these technologies within the existing fintech landscape is fraught with obstacles, including interoperability with classical systems, regulatory compliance, and the high costs associated with quantum infrastructure. Addressing these challenges requires a multidisciplinary approach, combining expertise in quantum mechanics, AI, and financial engineering to develop robust, scalable solutions. The paper also examines the broader implications of AI-quantum integration for enterprise decision systems. By enabling real-time analysis of volatile markets, these technologies empower organizations to make informed, data-driven decisions, thereby enhancing operational resilience and competitive advantage. Furthermore, the ethical considerations and regulatory frameworks governing the deployment of such advanced systems are critically analyzed, emphasizing the need for transparency, fairness, and accountability in algorithmic decision-making. The findings presented in this study underscore the transformative potential of AI-powered risk modeling in quantum finance. By bridging the gap between theoretical advancements and practical implementations, this research contributes to the growing body of knowledge on hybrid AI-quantum systems and their applications in the financial domain. Ultimately, the integration of AI and quantum computing represents a pivotal development in enterprise decision systems, offering unprecedented opportunities to address the complexities of financial risk management in an increasingly interconnected and uncertain world. (shrink)

The effective functioning of a modern enterprise necessitates the awareness of the owners and managers of its strategic orientations, the state of the internal and external environment, its competitive advantages, entrepreneurial potential and development prospects. A well-built business model of the enterprise helps to face these urgent and permanent challenges. However, the formation of a real business model of the enterprise necessitates mastering of theoretical and methodological bases and implementation of long-term practical measures in the (...) field of assessment, shaping, organization and control. This study offers a comprehensive business model of the enterprise that systematically identifies key factors which influence business activity of the enterprise and provide value logic for doing business in the global economic environment. (shrink)

The rapid adoption of cloud computing by businesses has led to substantial cybersecurity concerns, necessitating comprehensive security systems to safeguard cloud infrastructure. Cloud environments' multi-tenant nature renders systems vulnerable to threats including unauthorized access, data theft, and distributed denial-of-service (DDoS) attacks. Protecting data confidentiality, privacy, and regulatory adherence requires implementing a combination of encryption, authentication protocols, and intrusion detection measures. These risks have been addressed through the use of sophisticated methods, such as dynamic remote data auditing, decentralized access control, and (...) privacy-preserving query execution. Economic denial-of-sustainability (EDoS) attacks present a significant challenge that necessitates the implementation of effective mitigation strategies to prevent resource depletion. A comprehensive security strategy combines Zero Trust Architecture (ZTA), blockchain-based security frameworks, and AI-powered threat identification to improve cloud security for businesses. Enterprise operations must be safeguarded by implementing secure service delivery models that include strict access control, authentication, and encryption, such as IaaS, PaaS, and SaaS. Advances in trusted computing frameworks and cryptography enhance cloud security by rigorously enforcing data protection policies. This paper provides a comprehensive review of cybersecurity threats, assesses current methods of mitigation, and examines the latest technologies, providing expert guidance on optimal procedures and future research avenues for strengthening enterprise cloud security. (shrink)

In today’s rapidly evolving financial landscape, the adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies, coupled with the deployment of Business Rules Management Systems (BRMS), has transformed how financial transactions are conducted, monitored, and secured. With fraud, particularly in check deposit transactions, becoming increasingly sophisticated, financial institutions are turning to AI and ML to enhance their risk management strategies. This paper explores the integration of AI-driven models and business rules in financial transactions, focusing (...) on their application in fraud detection and prevention. We also examine the associated challenges, such as data privacy, ethical concerns, and the need for regulatory frameworks, while outlining the opportunities that lie ahead for future financial innovation. (shrink)

The rapid development of blockchain technologies creates a new paradigm of economic relations, requiring a rethinking of traditional approaches to management and business organization. The relevance of Ethereum research is due to its significant potential for creating new forms of economic coordination that go beyond existing institutional structures. With the growing complexity of global economic systems, Ethereum offers a unique approach to solving trust, transparency, and transaction efficiency problems. The purpose of the work is to substantiate the role (...) of blockchain as a new management technology using the example of the Ethereum platform, as well as to reveal the mechanisms for projecting imaginary autonomy in the process of its design and institutionalization through the activities of various actors. The study focuses on the formation of alternative modes of economic coordination of entrepreneurial structures and social organization. Key characteristics of the “governance through transactions” implemented in Ethereum are identified, including the focus on exchange and association relationships, the epistemological gap between the calculation and meaning of transactions, and the specific processes of forming and articulating these transactions. The process of institutionalization of the autonomy of cryptoassets is analyzed, demonstrating the complex interaction of various actors, technologies and social practices. A conceptual model of the evolution of digital economy management has been developed, reflecting the development trajectory from fragility to antifragility using the example of Ethereum. The transformational potential of Ethereum for existing economic and social structures is substantiated. This platform is considered an alternative proposal for managing the digital economy, capable of changing the fundamental principles of organizing economic activity. Problems and limitations associated with the implementation of decentralized systems are also identified, including technical challenges of scalability, difficulties of coordination, and risks of excessive algorithmization of social relations. (shrink)

The article highlights the current issues related to the management of information provision of the enterprise. It has been specified that complete and reliable information support of business processes is a necessary condition for the effective functioning of the enterprise. It was determined that the information support mechanism for managing the development of business processes should include available information resources, technologies, systems and platforms, software, and qualified personnel responsible for this work. The article examines the (...) works of domestic and foreign economists. It was established that the modern business environment is practically inseparable from scientific, information and intellectual achievements and the results of their implementation (information technologies, systems, and platforms), and the management of the development of business processes must be confirmed by a powerful information support of the enterprise. In the article contains information about the number of Ukrainian enterprises which were engaged in electronic trade. Nevertheless, it was revealed the number of Ukrainian enterprises, such as: 1) carried out electronic trade, in the total number of enterprises by type of sale; 2) have a website; 3) buy cloud computing services. It was found that of the analyzed number of Ukrainian enterprises that carried out electronic trade, the first place took enterprises in the field of information and communication technologies (9.5%), the second place – enterprises in the field of information and telecommunications. (9%), and the third – from the production of electrical equipment (8.2%). It has been proven that the successful operation of enterprises directly depends on the ability to make effective management decisions based on information generated in the information support system of enterprise management. In addition, it has been proven that in the era of digitalization, for the formation of proper information support, it is necessary to: 1) create and develop special data banks; 2) have special technical means and software products for working with large volumes of information; 3) making effective management decisions based on their processing. (shrink)

This article solves the problem of ensuring database decision-making in conditions of growing uncertainty and risks based on the results of business diagnostics is solved in this article. The main purpose of the research is to further develop the methodology of forming an analytical database for making management decisions. The following methods formed the methodological basis of the research: abstract-logical – used to generalize theoretical approaches and confirm the practical significance of solving the problem of decision-making in conditions (...) of uncertainty and risk; system analysis – when building a model of decision-making while coordinating areas and methods of business diagnostics; generalization – when drawing conclusions based on research results. The results of solving the problem of decision-making by improving the methodological approach in selecting areas and methods of business diagnostics in the conditions of growing uncertainty and risks are given in the article. The results of the research have practical value for companies that seek to reduce uncertainty and risk in the decision-making process in business management. (shrink)

The authors of the scientific monograph have come to the conclusion that мanagement of socio-economic transformations of business processes requires the use of mechanisms to support of entrepreneurship, sectors of the national economy, the financial system, and critical infrastructure. Basic research focuses on assessment the state of social service provision, analysing economic security, implementing innovation and introducing digital technologies. The research results have been implemented in the different models of costing, credit risk and capital management, tax control, (...) use of artificial intelligence and blockchain. The results of the study can be used in the developing of policies, programmes and strategies for economic security, development of the agricultural sector, transformation of industrial policy, implementation of employment policy in decision-making at the level of ministries and agencies that regulate the management of socio-economic and European integration processes. The results can also be used by students and young scientists in the educational process and conducting scientific research on global challenges and creation scenarios for the development of socio-economic processes. (shrink)

The problem of building an effective system of interconnected and purposeful innovative changes in business management is solved in the article. The main purpose of the research is to improve the model of business excellence on the basis of interconnected and purposeful innovative changes in business management. Critical analysis of literature sources and approaches to solving the problem of building a perfect model of business emphasizes the diversity of applied methodological approaches and methods of (...) management innovation. However, in terms of business technologicalization, necessity to accelerate information exchange, development of innovation and, at the same time, development of new threats, the need on the basis of strategizing, intellectualization of management, partnership, compliance with the challenges of the external environment, communication efficiency, leadership transformation, balancing intermediate and final results, there is a need to transform business and management on the basis of strategizing, intellectualization of management, partnership interaction, compliance with the challenges of the external environment, communication efficiency, transformation of leadership, balancing intermediate and final results. Relevance of solving of this scientific issue is that the timely use of innovative tools and management methods in the implementation of strategic intentions and goals forms a high adaptability of companies to transformation processes occurring in their external and internal environment under the influence of digital technologies in business processes. The scientific-theoretical and methodological basis of the study were the following methods: abstract-logical and comparative analysis – to generalize theoretical approaches and confirm the practical importance of solving the problem of building a model of providing business excellence on the basis of interconnected and focused innovative changes in business management; system analysis and modelling – method of building a model of business excellence based on managerial innovation; system-analytical – method of balancing the interaction of the components providing business excellence; generalization – when drawing conclusions based on research results. The object of research is a system of interconnected and purposeful innovative changes in business management. The results of solving the problem of building a model of business excellence while balancing the interaction of the components of such provision and implementation of the process of digital transformation of the business model. The results of the research have practical value for business entities that seek to increase the effectiveness of interconnected and purposeful innovative changes in business management. (shrink)

The XXII International Conference on "Enterprise Engineering and Knowledge management" (EEKM '2019) took place from 2019 April 24 to 26 in the Plekhanov Russian University of Economics (Moscow). By tradition, the "Enterprise Engineering and Knowledge management" (EEKM) conference is planned as a multidisciplinary forum of researchers and practitioners from various domains, promoting cooperation and exchange of ideas in different areas. The objectives of the EEKM '2019 scientific conference were: analysis and development of promising approaches, methods and (...) tools to improve the efficiency of enterprise digital transformation (based on modern Artificial Intelligence technologies), risk management, BPMS-based business process management tools, service-oriented architecture and knowledge management. The EEKM conference is more focused on specific models, technologies and their effectiveness, in addition to great attention to the correct interpretation of the concepts. -/- EEKM allows authors to submit their paper either in English. (shrink)

A Balanced Economic Model: The Feedback Loop Between Public and Private Sectors with MMT as a Stabilizing Mechanism -/- Introduction -/- Modern capitalism thrives on competition, profit motives, and consumer demand. However, the system is flawed because it allows extreme wealth inequality, market instability, and frequent economic crashes. Advertising, as an essential part of capitalism, manipulates consumer behavior to sustain profits. While this fuels economic growth, it also distorts the real needs of society. -/- A better alternative Is a hybrid (...) economic model where government-created jobs, social safety nets, and free public services coexist with a profit-driven private sector. The key to making this work is a feedback loop mechanism that keeps the two sectors balanced, ensuring economic stability while preventing extreme inequality and unnecessary market collapses. This essay explores how Modern Monetary Theory (MMT) can support this feedback loop economy to create a self-regulating system where both public and private sectors benefit from each other. -/- I. The Feedback Loop Between Private Companies and Government Economic Policies -/- A feedback loop mechanism is a self-regulating system where different components interact, adjust, and respond to maintain balance. In the economy, the public sector (government jobs, social safety nets, and public services) and the private sector (businesses, investments, and free markets) create a mutual dependency: -/- 1. Government Spending Creates Consumer Demand → Private Sector Growth -/- Government creates jobs with good salaries in infrastructure, education, healthcare, and technology. -/- This injects money into the economy, giving people the purchasing power to buy goods and services from private companies. -/- As demand increases, businesses grow, hire more workers, and expand operations. -/- 2. Private Sector Growth → Increases Government Revenue Without High Taxation -/- As private companies generate profits, they pay taxes and reinvest in expansion. -/- Strong consumer demand reduces the need for excessive taxation because economic growth itself funds public programs. -/- Businesses compete not only for profits but also for innovation and efficiency. -/- 3. Social Safety Nets Prevent Market Collapses -/- During recessions, government stabilizes the economy by expanding social programs (unemployment benefits, food assistance, healthcare). -/- This prevents demand from crashing, ensuring that businesses still have customers even in economic downturns. -/- As the economy recovers, government reduces spending, allowing the private sector to take the lead again. -/- This dynamic cycle ensures that economic booms and recessions are smoothed out, preventing extreme market crashes or mass unemployment. -/- II. The Role of MMT in Supporting the Feedback Loop -/- Modern Monetary Theory (MMT) provides the economic foundation for this model by proving that a sovereign government can spend money without being constrained by traditional budget rules. Unlike mainstream economic thinking, which suggests that governments must “balance the budget,” MMT argues that government spending should adjust based on economic conditions. -/- 1. Government-Backed Job Programs as an Economic Stabilizer -/- MMT allows governments to fund public jobs without relying solely on taxation. -/- If private companies cut jobs, the government can expand its workforce to absorb the unemployed. -/- When the economy stabilizes, people move back to higher-paying private jobs, reducing government spending. -/- 2. Preventing Inflation Through Resource Control -/- MMT acknowledges that inflation happens when there’s too much money chasing too few goods. -/- The government can remove excess money through targeted taxation and invest in productivity (e.g., infrastructure, education) to keep supply stable. -/- This prevents excessive inflation while keeping the economy growing. -/- 3. Continuous Money Circulation Without Debt Crises -/- Governments can print money to fund essential services, but they control inflation by investing in real production capacity (e.g., factories, renewable energy, technology). -/- This means public investment directly benefits private businesses, keeping both sectors in sync. -/- This MMT-backed feedback loop ensures that economic downturns do not lead to catastrophic business failures or mass unemployment. -/- III. The Role of Advertising in a Balanced Economic System -/- Advertising, while necessary for businesses, often manipulates consumer behavior in a way that creates artificial demand. In a feedback loop economy, advertising should be regulated to align with real consumer needs rather than exploiting psychological weaknesses. -/- 1. Ethical Advertising Policies -/- Companies should be incentivized to market based on quality and innovation rather than manipulation. -/- False advertising and monopolistic dominance should be regulated to prevent consumer exploitation. -/- 2. Consumer Education Programs -/- Public education should include critical thinking courses to help people make informed purchasing decisions. -/- This reduces the influence of manipulative advertising, ensuring that businesses compete fairly. -/- This ensures that the feedback loop remains healthy, preventing unnecessary overproduction and unsustainable consumer debt. -/- IV. Real-World Examples of a Balanced System -/- Some countries have successfully implemented elements of this feedback loop economic model: -/- Nordic Countries (Sweden, Norway, Denmark, Finland) -/- Have free healthcare, education, and social safety nets while maintaining a competitive private sector. -/- Use progressive taxation to prevent extreme inequality, ensuring that economic growth benefits everyone. -/- Germany -/- Uses government-backed vocational training programs to ensure a highly skilled workforce. -/- Strong public-private partnerships help both sectors support each other dynamically. -/- Japan -/- Government plays a major role in funding research, infrastructure, and innovation, allowing private businesses to thrive. -/- Uses state-owned enterprises strategically while ensuring a competitive private market. -/- These examples prove that a properly managed hybrid model is more resilient, fair, and stable than extreme capitalism or extreme socialism. -/- V. Conclusion: A Self-Regulating Economy for the Future -/- A feedback loop economic system provides the best of both worlds: ✔ Government ensures economic stability through public job creation and social safety nets. ✔ Private companies drive innovation and competitiveness with strong consumer demand. ✔ MMT allows government spending to adjust dynamically without unnecessary austerity measures. ✔ Advertising is reformed to encourage ethical business practices and informed consumer choices. ✔ Inflation is controlled through taxation, investment, and resource management. -/- By integrating these feedback loop mechanisms, we can create a self-regulating economic model where both public and private sectors reinforce each other, ensuring long-term stability, prosperity, and economic fairness. -/- Policy Framework for a Balanced Economic System: Global Best Practices -/- To fully integrate the feedback loop mechanism between the public and private sectors, specific policies must be implemented to ensure economic stability, innovation, and fairness. Below are real-world policy examples that demonstrate how different countries successfully manage their economies using a mix of government intervention and free market principles. -/- I. Public Job Creation as an Economic Stabilizer -/- One of the biggest issues in capitalism is economic recessions leading to mass layoffs, which then reduce consumer spending, creating a vicious cycle of economic decline. The solution is public sector job programs that absorb unemployed workers during downturns and allow them to transition back to private jobs when the economy improves. -/- Global Examples -/- ✔ United States (New Deal Programs – 1930s) -/- During the Great Depression, the U.S. government created millions of jobs in construction, public works, and conservation projects. -/- These projects boosted infrastructure while providing employment, helping to revive the economy. -/- ✔ Argentina’s Jefes de Hogar Program (2002-2006) -/- Aimed at mitigating mass unemployment during Argentina’s economic crisis. -/- The government hired unemployed citizens to work in community service, infrastructure, and public health projects. -/- Created social stability and demand for private goods, helping Argentina recover. -/- ✔ Germany’s Kurzarbeit Program (Ongoing) -/- In times of economic slowdown, the German government pays companies to keep workers employed at reduced hours rather than laying them off. -/- This prevents mass unemployment, ensuring that workers still have income and spending power. -/- Policy Recommendation: → Implement automatic public employment programs during recessions to keep demand stable and prevent economic crashes. -/- II. Social Safety Nets to Support Consumer Demand -/- A strong social safety net ensures that consumers have purchasing power even in economic downturns, keeping the private sector stable. -/- Global Examples -/- ✔ Nordic Model (Denmark, Sweden, Norway, Finland) -/- Provides free healthcare, education, and unemployment benefits, preventing extreme poverty. -/- Funded through progressive taxation, ensuring that the wealthy contribute fairly to society. -/- This creates a stable consumer base for private companies, benefiting the entire economy. -/- ✔ Universal Basic Income (UBI) Experiments (Finland, Canada, Kenya) -/- Finland tested a UBI program where unemployed citizens received a monthly payment regardless of employment status. -/- Results showed that recipients were more likely to start businesses and find better jobs, proving that social safety nets do not reduce work incentives. -/- ✔ Singapore’s Housing and Retirement System -/- The government helps citizens buy homes with public funds, ensuring stable housing. -/- A mandatory retirement savings system (Central Provident Fund) ensures that people have money after they retire. -/- These policies reduce financial anxiety, allowing people to focus on entrepreneurship and economic growth. -/- Policy Recommendation: → Implement universal healthcare, free education, and unemployment benefits to ensure that economic downturns do not collapse consumer spending. -/- III. Regulating Advertising to Align with Consumer Needs -/- Unregulated advertising manipulates consumer behavior, creating unnecessary demand and overconsumption, which destabilizes economies. Governments can regulate advertising to ensure ethical business practices. -/- Global Examples -/- ✔ European Union (Strict Advertising Laws) -/- The EU bans false advertising, ensuring that companies cannot make misleading claims about their products. -/- Certain junk food and alcohol ads are restricted to protect public health. -/- ✔ France’s Ban on Child-Targeted Advertising -/- Prevents unethical marketing towards children, reducing unnecessary consumerism. -/- ✔ Japan’s Culture of Product Quality Over Hype -/- Japanese companies emphasize product reliability and long-term value, reducing dependence on manipulative advertising. -/- Policy Recommendation: → Implement ethical advertising regulations to prevent false marketing, predatory ads targeting vulnerable consumers, and excessive consumer debt. -/- IV. Public-Private Partnerships for Innovation and Infrastructure -/- Rather than treating the government and private sector as separate entities, a well-balanced system interconnects them through public-private partnerships (PPPs) to drive innovation. -/- Global Examples -/- ✔ Germany’s Mittelstand Model (SME Support System) -/- The German government provides long-term financial support to small and medium-sized enterprises (SMEs), which are the backbone of the economy. -/- Ensures that private businesses have stable growth without excessive corporate monopolies. -/- ✔ China’s State-Led Economic Model (Strategic Government Investments) -/- The government invests heavily in infrastructure and technology, allowing private businesses to thrive with low-cost logistics and energy. -/- Balances capitalist competition with government support, ensuring stability. -/- ✔ United States (NASA & SpaceX Collaboration) -/- NASA funded SpaceX and other private space companies, leading to rapid innovation in space technology. -/- This proves that government funding can accelerate private sector breakthroughs. -/- Policy Recommendation: → Use government funding to support innovation and long-term infrastructure projects while allowing private businesses to benefit and expand. -/- V. MMT as a Tool for Economic Stability -/- Traditional economic models suggest that governments must “balance their budgets” like households, but this is a flawed concept. Modern Monetary Theory (MMT) argues that sovereign nations with their own currency (like the U.S., Japan, and the UK) can create money to fund essential services without relying on debt from private banks. -/- How MMT Works in Practice -/- ✔ Japan’s National Debt Strategy -/- Japan has one of the highest debt-to-GDP ratios in the world, yet it has no financial crisis because it borrows in its own currency. -/- Instead of austerity, Japan uses public investment to maintain economic stability. -/- ✔ U.S. Stimulus During COVID-19 -/- The U.S. government printed money to send direct payments to citizens, preventing a total economic collapse. -/- Inflation was controlled by adjusting taxation and investment in production capacity. -/- ✔ EU’s Post-COVID Recovery Fund -/- The European Union used public money to stabilize industries and workers, preventing extreme recessions. -/- Policy Recommendation: → Use MMT-based strategies to fund infrastructure, social programs, and innovation, ensuring economic stability without excessive reliance on private banking debt. -/- VI. Conclusion: Creating a Self-Regulating Economy -/- A feedback loop economy that integrates public job creation, private sector competition, social safety nets, and MMT-backed fiscal policies provides a self-regulating system that ensures: -/- ✔ Stable employment and consumer demand even during economic downturns. ✔ Innovation and competition in the private sector without excessive monopolies or market crashes. ✔ Government-funded infrastructure and social programs that benefit both workers and businesses. ✔ Ethical advertising that prevents consumer exploitation and unnecessary debt. ✔ Balanced inflation control through strategic taxation and investment. -/- By combining the best policies from different global models, we can build an economic system that minimizes business bankruptcies, prevents recessions, and maximizes innovation and economic fairness. -/- . (shrink)

The hotel sector of the travel industry is the leader according to the indicator of economic growth, which is observed in both developed and developing countries. Even under the economic instability and global natural disasters, the industry has seen growth in recent years. The franchising model for expanding activities is central to all successful hotel chains. The article deals with the franchising model for the travel business expansion and the economic performance of hotel chains such as Marriott International, Wyndham (...) Hotels, and Hilton. They hold a prominent place in the global hotel business, have a steady tendency to expand their business, hold high positions in the ranking of the best franchises in the world and have been recognized by experts. The main risks for the franchisor and franchisee are determined when making a decision on the expansion of the international travel business, which must be taken into account when developing new markets for hotel chains. The main advantages of the franchising model of expansion, which promote understanding between the parties of the franchise agreement, dynamicize hotel chains expansion and allow for reducing their expenses and increasing incomes. It was found that the growth of net profit and total income in the indicated hotel chains was due to the increase in the number of rooms in franchising and the positive dynamics of franchise income. A more dynamic pace occurred after the crisis growth in revenues from the franchisee compared with the managerial model. A closer relationship between revenues and key financial indicators has been proved when using a franchising model. (shrink)

The results of the authors’ research in a scientific monograph are devoted to solving the problems of forming and improving new concepts and strategies for managing economic systems, and mechanisms for their implementation in the context of modern world challenges to society on the basis of models of managing economic entities. An important component of the scientific monograph is the formation of modern strategies for increasing the competitiveness of economic systems, improving corporate structures, innovative restructuring of enterprises, ensuring environmental safety, (...) approaches to implementing a supply chain logistics management system, making effective decisions in the forecasting system, developing e-commerce, implementation of information technologies in project financing, controlling, education system, etc. The research results presented in the scientific monograph reflect the theoretical and practical aspects of the implementation of organizational-economic mechanisms for managing economic systems in the context of modern world challenges, conditions of constantly changing market conditions and instability of markets for goods and services, preservation and optimization of the resource potential of economic entities, the introduction of modern innovative technologies and digitalization of economic activities. (shrink)

Accelerating global climate change drives new climate risks. People around the world are researching, designing, and implementing strategies to manage these risks. Identifying and implementing sound climate risk management strategies poses nontrivial challenges including (a) linking the required disciplines, (b) identifying relevant values and objectives, (c) identifying and quantifying important uncertainties, (d) resolving interactions between decision levers and the system dynamics, (e) quantifying the trade-offs between diverse values under deep and dynamic uncertainties, (f) communicating to inform decisions, and (...) (g) learning from the decision-making needs to inform research design. Here we review these challenges and avenues to overcome them. ▪ People and institutions are confronted with emerging and dynamic climate risks. ▪ Stakeholder values are central to defining the decision problem. ▪ Mission-oriented basic research helps to improve the design of climate risk management strategies. (shrink)

With the rise of remote work and cloud-first strategies in 2020, the traditional perimeter-based security model became increasingly obsolete. Zero Trust Architecture (ZTA), which emphasizes “never trust, always verify,” emerged as a strategic framework to mitigate evolving cybersecurity threats, especially those exacerbated by the COVID-19 pandemic. Despite its theoretical robustness, implementing Zero Trust in enterprise environments revealed several technical and organizational roadblocks, including identity-centric access control, network segmentation, legacy system compatibility, and the scalability of real-time monitoring. This paper evaluates (...) the underlying principles of Zero Trust from both cybersecurity and organizational perspectives and identifies implementation challenges through a mixed-methods approach combining quantitative threat metrics and qualitative enterprise case studies. By synthesizing insights from cybersecurity engineering, organizational behavior, and risk management, this research proposes a phased framework to streamline Zero Trust adoption in complex network environments. Findings show that tailored ZTA strategies significantly reduced insider threat surfaces and lateral movement during the rapid digital transformations of 2020, but required extensive investment in identity governance and cross-functional coordination. (shrink)

It is well established that a number of factors contribute disproportionately to the failure of Micro and Small Enterprises (MSEs) in most economies. This paper examined the contribution of managerial and financial factors to the failure of MSEs in the context of Angola. The paper adopted a positivist theoretical perspective, by utilizing the questionnaire as the primary data collection instrument within the quantitative research technique. Data was collectedfrom108 small business owners and managers with business failure experiences, approached through (...) snowballing sampling technique. The data was analysed with the aid of the Statistical Package for the Social Sciences (SPSS) program. The results ascertain that, insufficient knowledge in the domain of business systems, insufficient skills in the domain of financial accounting and negligence to plan and control business resources, by the small business owners and managers were among the factors that contributed to small enterprise failure in Angola. This reports the lack of institutions actively promoting entrepreneurship for knowledge and skills development and the absence of successful entrepreneurial role models, business mentors or coaches for entrepreneurial capacity building. (shrink)

This research paper explores effective governance strategies aimed at ensuring consistency and compliance within Business Rules Management Systems (BRMS). As organizations increasingly rely on BRMS to streamline decision-making processes, the need for robust governance becomes paramount. The abstract delves into the challenges posed by evolving business environments and complex regulatory landscapes, emphasizing the significance of maintaining rule consistency and compliance. The paper investigates diverse governance models and their applicability in promoting adherence to business rules across organizational (...) units. Additionally, it addresses the role of technology in facilitating governance mechanisms, including version control, audit trails, and automated monitoring. The study contributes valuable insights to both academia and practitioners by offering a nuanced understanding of governance strategies crucial for fostering reliability, uniformity, and compliance within BRMS. (shrink)

This research aims at establishing the impact of information and communication technologies (ICT) on e-commerce development of industrial enterprises by means of economic and mathematical modelling. The goal was achieved using the following methods: theoretical generalization, analysis and synthesis (to critically analyse the scientific approaches of scientists regarding the expediency of using mathematical models in the context of enterprises’ e-commerce development), target, comparison and grouping (to reveal innovative methodological approach to assessing ICT impact on e-commerce development of industrial enterprises), tabular, (...) analytical and integral method (for summarizing the analysis results of enterprises readiness to implement ICT, ICT use in the activities of industrial enterprises of Ukraine and the analysis of e-commerce development), mathematical modelling (to build a regression model determining impact of changes in ICT use on the market share occupied by industrial enterprises), generalization (to determine promising directions of e-commerce developing of industrial enterprises). The implementation of a comprehensive approach to understanding the importance of ICT influence on e-commerce development of industrial enterprises will ensure acceleration of the digitalization of business processes, will contribute to the speed increase of enterprises response to customer requests, and increase the market share occupied by enterprises. A new vision of directions for developing e-commerce of industrial enterprises is suggested, which are determined by the need for enterprise rebranding, the development of e-commerce tools and technologies, the importance of outsourcing service automation and promotion of subscription trade. ICT is considered as integration factor that determines prospects for e-commerce development of industrial enterprises and contributes to increasing efficiency of online business management. Research results demonstrate that the use of economic and mathematical modelling is an important tool for assessing ICT impact, and its absence can negatively affect the accuracy and validity of online business management. (shrink)

Entrepreneurs vs. Pioneering Thinkers: A Fundamental Distinction -/- Throughout history, society has been shaped by both successful entrepreneurs and pioneering thinkers, including scientists, mathematicians, philosophers, inventors, and intellectuals. While both groups contribute significantly to human progress, their objectives, methods, and societal impact differ fundamentally. This essay explores these differences and highlights the role of pioneering thinkers in advancing human understanding, particularly in relation to the work of Angelito Malicse and his universal formula addressing the problem of free will. -/- Goals (...) and Objectives -/- Entrepreneurs primarily seek to create, manage, and expand businesses by identifying market opportunities, solving practical problems, and generating financial success. Their primary motivation lies in innovation within a commercial framework, with success measured by revenue, market influence, and business growth. Examples of successful entrepreneurs include figures like Steve Jobs, Elon Musk, and Jeff Bezos, whose ventures have transformed industries and consumer lifestyles. -/- In contrast, pioneering thinkers—including scientists, mathematicians, philosophers, and inventors—aim to deepen our understanding of the natural world, abstract concepts, and fundamental truths. Their work is driven by curiosity, intellectual rigor, and the pursuit of knowledge rather than financial gain. Figures such as Albert Einstein, Isaac Newton, Plato, and Nikola Tesla exemplify this tradition, contributing groundbreaking theories and inventions that shaped civilization. -/- Angelito Malicse’s universal formula falls into this category, as it seeks to address the philosophical and scientific problem of free will through an understanding of natural laws. Rather than pursuing financial success, Malicse focuses on transforming human decision-making and education to align with the universal law of balance in nature. -/- Approach and Methods -/- Entrepreneurs operate in the realm of business, applying risk management, marketing strategies, and economic models to create value. Their success often depends on adaptability, innovation, and the ability to turn ideas into marketable products or services. -/- Pioneering thinkers, however, rely on theoretical reasoning, experimentation, and deep analysis. Scientists use empirical data and experimentation, mathematicians develop abstract models, philosophers engage in logical reasoning, and inventors create technological advancements. These thinkers often work without immediate practical applications, but their insights form the foundation of future societal and technological advancements. -/- Malicse’s approach aligns with pioneering thinkers, as he seeks to apply natural laws to solve philosophical and societal problems. His emphasis on homeostasis and systemic balance reflects an intellectual tradition that values long-term understanding over short-term gain. -/- Risk and Reward -/- Entrepreneurs take financial and business risks, often with the goal of achieving monetary and market-based rewards. Their success can be immediate or short-term, depending on market demands and business strategies. -/- Conversely, pioneering thinkers often work with delayed or uncertain recognition. Many have had their contributions appreciated only posthumously, as was the case with Galileo Galilei and Gregor Mendel. The nature of their work requires patience, as their theories and discoveries may take decades or even centuries to be fully understood and applied. -/- Malicse’s work on the universal formula follows this pattern, as it challenges existing paradigms and requires time for widespread acceptance. He envisions his solution being integrated into education and governance, which demands patience and strategic dissemination. -/- Impact on Society -/- Entrepreneurs drive economic growth, create jobs, and enhance consumer lifestyles through innovation. They contribute to technological advancements that improve daily life, such as communication, transportation, and healthcare technologies. -/- Pioneering thinkers, on the other hand, expand human knowledge and provide the intellectual framework upon which society operates. Their work influences laws, ethics, scientific advancements, and philosophical discourse. Their impact may not always be immediately visible, but it is often more profound and long-lasting. -/- Malicse’s universal formula represents an intellectual contribution that, if implemented, could reshape human education, governance, and social structures. By addressing the problem of free will through natural laws, he aims to reduce societal imbalances and create a more harmonious decision-making process for individuals and leaders alike. -/- Conclusion -/- While both entrepreneurs and pioneering thinkers play essential roles in human progress, their paths are distinct. Entrepreneurs focus on practical innovation and economic success, while pioneering thinkers seek fundamental understanding and long-term intellectual contributions. Angelito Malicse firmly aligns with the latter, aiming to introduce a new framework for understanding free will and societal balance through his universal formula. The challenge now lies in communicating and implementing these ideas so that they reach the right institutions and individuals who can help bring them into practice. -/- As history has shown, paradigm shifts require persistence and strategic dissemination. Just as Einstein’s theory of relativity and Darwin’s theory of evolution took time to gain acceptance, Malicse’s universal formula will need careful integration into education and governance. By doing so, his work could potentially influence future generations and reshape our understanding of decision-making and human behavior in alignment with natural laws. -/- . (shrink)

Sustainable Economic Growth: Increasing GDP Without Excessive Population Growth -/- Economic growth has traditionally been associated with population growth, as more people typically mean a larger workforce and greater demand for goods and services. However, relying solely on population expansion to increase Gross Domestic Product (GDP) is not a sustainable long-term strategy. Overpopulation can lead to resource depletion, environmental degradation, and strained public services. Fortunately, there are ways to boost economic growth without excessive population increases by focusing on productivity, technological (...) advancements, and efficient resource management. -/- The Role of Productivity Growth -/- One of the most effective ways to increase GDP without increasing population is through productivity growth. Productivity refers to the efficiency with which goods and services are produced. If workers and businesses can produce more output with the same or fewer resources, economic growth can occur without needing more people in the workforce. -/- Investing in automation, artificial intelligence (AI), and robotics can significantly improve productivity by allowing industries to operate more efficiently. Furthermore, enhancing education and skills training ensures that workers can adapt to new technologies and increase their efficiency. Countries that prioritize high-skilled labor and innovation often experience strong GDP growth without major population growth. -/- Technological Innovation and Economic Growth -/- Innovation plays a crucial role in driving GDP growth. Many of the world’s most successful economies have transitioned from labor-intensive industries to knowledge-based industries that rely on innovation rather than population size. Countries like Japan and Germany, which have aging populations, have maintained economic strength through technological advancements. -/- By encouraging research and development (R&D), governments and businesses can create new industries, such as biotechnology, renewable energy, and digital services. Advances in digital infrastructure also enable the expansion of remote work and online businesses, reducing the need for physical labor-intensive jobs and allowing economic growth without relying on a growing workforce. -/- Capital Investment and Infrastructure Development -/- Another key driver of economic growth is investment in capital and infrastructure. A well-developed infrastructure—comprising roads, energy, telecommunications, and public transportation—improves economic efficiency and productivity. Even without population growth, better infrastructure allows businesses to operate more smoothly, reducing costs and increasing output. -/- Furthermore, supporting small and medium-sized enterprises (SMEs) and promoting entrepreneurship can drive innovation and create new revenue streams, contributing to GDP growth. Well-funded businesses can expand operations, improve efficiency, and enter global markets without relying on additional human resources. -/- Improving Economic Efficiency -/- Efficient use of resources can also contribute to GDP growth. Many economies suffer from inefficiencies due to wasteful government spending, corruption, or outdated business models. By adopting better management practices, optimizing supply chains, and reducing bureaucratic inefficiencies, countries can increase economic output without additional population growth. -/- Trade policies also play a crucial role. By focusing on high-value exports rather than just raw materials, nations can maximize economic gains without increasing labor-intensive production. Countries like Switzerland and South Korea have built strong economies by exporting high-value products such as pharmaceuticals and electronics instead of relying on labor-intensive industries. -/- Shifting to a Knowledge-Based Economy -/- A knowledge-based economy prioritizes industries such as information technology, finance, research, and creative industries. These sectors require highly skilled workers and generate high-value products and services, making them less dependent on population growth. -/- For instance, the software industry allows companies to generate billions in revenue with a relatively small workforce. Artificial intelligence, data science, and automation are also transforming traditional industries, making production processes more efficient and reducing the need for a large workforce. Countries that invest in education and digital transformation can experience sustained GDP growth without excessive reliance on population increases. -/- Sustainable Resource Management and Economic Growth -/- Another way to achieve economic growth without population expansion is by shifting to a sustainable economic model. The traditional “take-make-dispose” economic system leads to resource depletion, but a circular economy focuses on recycling, reusing, and regenerating materials to maintain long-term sustainability. -/- Investing in renewable energy sources, such as solar and wind power, also creates economic growth while reducing dependence on finite natural resources. Sustainable agriculture and responsible land management can enhance food production efficiency without requiring more workers or land expansion. -/- Increasing Workforce Participation -/- Even in countries with stagnant or declining populations, GDP growth can be achieved by increasing workforce participation. Encouraging more women, elderly individuals, and marginalized groups to participate in the workforce can help maintain economic activity without relying on immigration or high birth rates. -/- Additionally, promoting flexible work arrangements, such as remote work and the gig economy, allows more people to contribute to the economy while improving work-life balance. Countries that create inclusive labor policies can maximize their existing human resources rather than depending on population growth. -/- Conclusion -/- Increasing GDP without excessive population growth is not only possible but also necessary for long-term sustainability. By focusing on productivity, technological advancements, capital investment, efficiency, knowledge-based industries, sustainable resource management, and workforce participation, economies can achieve robust growth without straining resources. Governments and businesses must adopt forward-thinking policies that prioritize quality over quantity, ensuring a prosperous future without the negative consequences of overpopulation. A well-balanced approach to economic development can lead to a sustainable, high-income economy that benefits society while protecting the environment. -/- . (shrink)

The Qualities, Challenges, and Successes of an Excellent Leader Across Politics, Business, and Education -/- Introduction -/- Leadership is a defining force in shaping societies, businesses, and educational institutions. The effectiveness of a leader is not solely determined by their title or power but by their ability to Inspire, innovate, and solve problems while upholding ethical integrity. Whether in politics, business, or education, great leaders share common qualifications and personality traits, yet they must also adapt to unique challenges (...) within their respective fields. This essay explores the fundamental characteristics of excellent leaders, the obstacles they face, and the strategies they use to create meaningful impact. -/- I. Qualifications and Personality Traits of an Excellent Leader -/- A. Essential Qualifications and Skills -/- Regardless of the industry, an excellent leader must possess: -/- Knowledge and Expertise – Mastery of governance, market trends, or education systems. -/- Strategic Thinking – The ability to anticipate challenges and make long-term plans. -/- Decision-Making Skills – Confidence in making high-stakes choices. -/- Effective Communication – Clarity in expression and active listening. -/- Problem-Solving Ability – Finding creative solutions to complex issues. -/- Adaptability and Lifelong Learning – Adjusting strategies based on evolving circumstances. -/- Delegation and Team Management – Trusting subordinates and empowering teams. -/- Integrity and Accountability – Leading with honesty and responsibility. -/- B. Key Personality Traits -/- In addition to technical skills, an excellent leader must embody: -/- Vision and Inspiration – The ability to motivate and guide others toward a shared goal. -/- Confidence and Charisma – Instilling trust and enthusiasm in followers. -/- Emotional Intelligence – Understanding and managing emotions effectively. -/- Resilience and Perseverance – Maintaining strength despite adversity. -/- Humility and Self-Awareness – Recognizing one’s strengths and areas for growth. -/- Empathy and Compassion – Understanding the needs and struggles of others. -/- Decisiveness with Open-Mindedness – Making firm choices while considering diverse perspectives. -/- While these qualities are essential for all leaders, their application differs across politics, business, and education, as each field presents unique challenges and opportunities. -/- II. Leadership in Politics: Challenges and Solutions -/- A. Uniting a Divided Nation -/- One of the greatest challenges for political leaders is uniting citizens during periods of division. A notable example is Abraham Lincoln, who led the United States during the Civil War. Despite widespread disagreement over slavery and state rights, Lincoln used strategic communication and a moral vision to rally the nation. His Emancipation Proclamation redefined the war’s purpose, emphasizing freedom and unity. -/- B. Fighting Corruption in Government -/- Corruption undermines progress, and political leaders must uphold strong ethical standards. Lee Kuan Yew, the first Prime Minister of Singapore, transformed his country by enforcing strict anti-corruption laws and promoting meritocracy. His leadership ensured Singapore’s rapid economic rise, proving that integrity is essential in governance. -/- C. Managing Economic Crises -/- During the Great Depression, Franklin D. Roosevelt faced an economic collapse that left millions unemployed. He introduced the New Deal, creating jobs and financial security programs. His ability to act boldly and provide hope helped restore economic stability, demonstrating that crisis leadership requires both pragmatism and vision. -/- Political leaders must navigate public trust, ethical governance, and crisis management to create a lasting impact. -/- III. Leadership in Business: Challenges and Solutions -/- A. Innovating in a Competitive Market -/- Business leaders must drive innovation to stay relevant. Steve Jobs, the co-founder of Apple, revitalized the company in 1997 by simplifying product lines, focusing on design, and introducing the iMac, iPod, and iPhone. His ability to anticipate consumer needs and redefine technology made Apple a global leader. -/- B. Handling Public Backlash and Crisis -/- Leaders often face setbacks, as seen with Elon Musk’s challenges in Tesla and SpaceX. Tesla nearly collapsed due to production delays, and SpaceX suffered multiple rocket failures. Musk’s resilience and continuous refinement of technology eventually led to both companies’ success, proving that failure is an opportunity for learning and improvement. -/- C. Scaling a Startup into a Global Brand -/- Jack Ma, founder of Alibaba, faced intense competition from eBay and Amazon. By focusing on China’s local market and empowering small businesses, he turned Alibaba into an e-commerce giant. His leadership highlights the importance of understanding market needs and building a strong brand identity. -/- Business leaders must balance innovation, crisis management, and global strategy to build and sustain successful enterprises. -/- IV. Leadership in Education: Challenges and Solutions -/- A. Reforming Outdated Education Systems -/- Educational leaders must adapt learning models to better serve students. Maria Montessori revolutionized early childhood education by creating a student-centered approach, allowing children to learn at their own pace. Her method is now used worldwide, proving that challenging traditional systems can lead to better learning outcomes. -/- B. Ensuring Equal Access to Quality Education -/- In many parts of the world, education is still a privilege rather than a right. Malala Yousafzai fought for girls’ education in Pakistan despite facing life-threatening dangers. Her activism led to global policy changes, showcasing that fearless advocacy can break educational barriers. -/- C. Leading Schools During a Crisis (COVID-19 Pandemic) -/- When the COVID-19 pandemic forced schools to close, educational leaders had to quickly transition to online learning. Successful leaders implemented digital tools, teacher training, and student support programs to maintain educational quality. Their ability to embrace technology and prioritize student well-being was crucial during the crisis. -/- Educational leaders must focus on innovation, accessibility, and adaptability to improve learning systems. -/- V. Leadership Styles & Adaptability -/- A great leader adapts their leadership style based on circumstances: -/- Transformational Leadership – Inspires innovation and major change (e.g., Steve Jobs). -/- Servant Leadership – Prioritizes team members’ needs (e.g., Malala Yousafzai). -/- Authoritative Leadership – Makes decisive choices in crises (e.g., Franklin D. Roosevelt). -/- Democratic Leadership – Encourages collaboration and shared decision-making (e.g., Lee Kuan Yew). -/- The best leaders balance these styles to meet challenges effectively. -/- V. Conclusion: The Universal Principles of Great Leadership -/- Whether in politics, business, or education, an excellent leader shares common traits: vision, resilience, adaptability, and ethical integrity. However, their leadership is defined by how they apply these qualities to real-world problems. Political leaders must focus on unity and governance, business leaders on innovation and market strategy, and educational leaders on accessibility and reform. -/- The greatest leaders in history prove that true leadership is not about power, but about creating lasting positive change. By understanding and applying these principles, future leaders can shape a better world. -/- . (shrink)

The rapid evolution of the financial sector, particularly in banking and fintech, necessitates continuous innovation in financial product development and testing. However, challenges such as data privacy, regulatory compliance, and the limited availability of diverse datasets often hinder the effective development and deployment of new products. This research investigates the transformative potential of AI-driven synthetic data generation as a solution for accelerating innovation in financial product development. Synthetic data, generated through advanced AI techniques such as Generative Adversarial Networks (GANs), Variational (...) Autoencoders (VAEs), and Transformer-based models, can simulate real-world financial scenarios with a high degree of fidelity while preserving privacy and compliance standards. The use of synthetic data enables financial institutions and fintech companies to conduct rigorous testing, modeling, and validation of new products and services without relying on sensitive customer data. By generating realistic yet artificial datasets, organizations can explore a broader range of scenarios, including rare or extreme market conditions, thus enhancing the robustness and reliability of their financial models. This paper provides a comprehensive analysis of the underlying methodologies for synthetic data generation, focusing on their application to financial product development. It delves into the specific architectures and frameworks used in generating synthetic data, including GANs, VAEs, and synthetic minority over-sampling techniques (SMOTE), and examines their respective advantages and limitations. The paper also addresses the critical issue of ensuring the quality and utility of synthetic data, emphasizing metrics such as statistical similarity, privacy preservation, and applicability to real-world use cases. The discussion extends to the ethical and regulatory implications of deploying AI-driven synthetic data in finance, highlighting the need for transparent and explainable AI models to ensure trust and compliance. Moreover, the research explores practical case studies where financial institutions and fintech firms have successfully implemented synthetic data to develop and test new products, demonstrating significant reductions in time-to-market and development costs. One of the key contributions of this research is the exploration of how AI-driven synthetic data generation can facilitate the development of innovative financial products such as algorithmic trading strategies, risk management tools, credit scoring models, and fraud detection systems. By simulating diverse market behaviors and customer interactions, synthetic data enables the fine-tuning of algorithms and models to achieve higher accuracy and performance. Additionally, the paper discusses the integration of synthetic data generation into existing financial data ecosystems, proposing a framework for leveraging hybrid datasets that combine synthetic and real data to optimize model training and validation. The potential for synthetic data to drive collaborative innovation in finance is also considered, as it allows multiple stakeholders, including banks, fintech startups, and regulators, to share and analyze data without compromising confidentiality or privacy. The research also addresses the limitations and challenges associated with synthetic data generation in the financial domain, including issues related to data representativeness, overfitting, and the potential misuse of synthetic datasets. It emphasizes the need for ongoing research to develop more sophisticated algorithms that can generate highly realistic and diverse financial data. Furthermore, it identifies areas for future exploration, such as the use of federated learning and differential privacy techniques to enhance the security and privacy of synthetic data generation processes. The findings of this paper underscore the importance of AI-driven synthetic data generation as a catalyst for innovation in banking and fintech, providing a secure, scalable, and cost-effective means to develop, test, and validate new financial products and services. As the financial industry continues to evolve, the role of synthetic data in shaping the future of financial product development will become increasingly critical, paving the way for more efficient and innovative financial solutions. (shrink)

As machine learning (ML) models become increasingly integrated into mission-critical applications and production systems, the need for robust and scalable MLOps (Machine Learning Operations) practices has grown significantly. This paper explores key strategies and best practices for building scalable MLOps pipelines to optimize the deployment and operation of machine learning models at an enterprise scale. It delves into the importance of automating the end-to-end lifecycle of ML models, from data ingestion and model training to testing, deployment, and monitoring. Approaches (...) for implementing continuous integration and continuous deployment (CI/CD) pipelines tailored for ML workflows are discussed, enabling efficient and repeatable model updates and deployments. The paper emphasizes the criticality of implementing comprehensive monitoring and observability mechanisms to track model performance, detect drift, and ensure the reliability and trustworthiness of deployed models. The paper also addresses the challenges of managing model versioning and governance at scale, including techniques for maintaining a centralized model registry, enforcing access controls, and ensuring compliance with regulatory requirements. The paper aims to provide a comprehensive guide for organizations seeking to establish scalable and robust MLOps practices, enabling them to unlock the full potential of machine learning while mitigating risks and ensuring responsible AI deployment. (shrink)

The COVID-19 pandemic that began in 2020 has significantly impacted businesses, regardless of size or industry. The hybrid and remote working models have moved all meetings with potential and existing suppliers to an online environment. This also applies to small- and medium-sized enterprises (SMEs), which have had to adapt themselves to the new situation and implement the solutions necessary to survive on the market. On the other hand, clients have become more aware of the environment and its changes. Customers are (...) trying to be more eco-friendly, by choosing and moving towards Green IT. Thus, this needs to be considered. The acquisition of management information systems (MIS) in the pandemic era is based only on virtual meetings. The main goals of this paper were the identification of the changes in the negotiations caused by the COVID-19 pandemic, the transformation of this process into virtual environment, discussion of the possibility of using Green IT in addition to Management Information Systems, and the changes caused by the pandemic. The article was prepared based on the results of qualitative research using the case study method. The comparative analysis includes purposely selected cloud-based Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) systems’ acquisition processes, presented from the clients’ perspective. The research was conducted in 2021, based on the authors’ practical experience, and presents four cases. This research illustrates the negotiations concerning an acquisition transaction pre-pandemic and during the pandemic. Finally, the conclusions and main differences caused by the pandemic in the acquisition transaction process of management information systems (MIS) are presented. (shrink)

-/- The Future of Economic Systems: A Balance Between Capitalism, Socialism, and Sustainable Growth -/- Economic systems have evolved over centuries to meet the needs of societies. The invention of monetary value, a social construct, allowed for the exchange of goods and services, making economies function at a large scale. However, while this system has undoubtedly brought prosperity to many, it has also led to inequalities and environmental challenges. In order to address these issues and ensure a sustainable future, a (...) more holistic approach to economic systems is necessary—one that blends the best of capitalism, socialism, and modern economic theories such as Modern Monetary Theory (MMT). This approach, coupled with excellent government leadership and regulated population growth, could create an economic system that maximizes productivity, balances wealth distribution, and ensures sustainability for future generations. -/- The Combination of Capitalism and Socialism -/- Capitalism has proven effective at driving innovation, entrepreneurship, and economic growth. It is based on the principle that individuals and companies can freely engage in trade, and that competition leads to more efficient and diverse products and services. However, capitalism, when left unchecked, has often resulted in income inequality, environmental degradation, and social unrest. To address these issues, elements of socialism are necessary. Socialism focuses on wealth redistribution and providing a safety net for the most vulnerable members of society. It ensures that basic needs, such as healthcare, education, and housing, are met for all citizens, regardless of their income level. -/- By combining capitalism with socialism, societies can harness the strengths of both systems. The competitive nature of capitalism fosters innovation and growth, while socialism ensures that wealth is more evenly distributed and that the welfare of society as a whole is prioritized. This balance can lead to a more equitable society, where both individuals and communities can thrive. -/- The Role of Modern Monetary Theory (MMT) as a Feedback Mechanism -/- Modern Monetary Theory (MMT) proposes that governments can issue currency without the risk of running out of money, provided they manage inflation and the economy’s productive capacity responsibly. MMT offers a fresh perspective on monetary policy, advocating for increased government spending on public goods and services, such as infrastructure, healthcare, and education, without the immediate need for taxation or borrowing. -/- In this proposed economic system, MMT functions as a feedback mechanism, helping to regulate the money supply in a way that is responsive to economic conditions. By aligning the money supply with real productivity, MMT can ensure that inflation remains under control while supporting full employment and social welfare. This mechanism helps prevent the economic imbalances that have sometimes occurred in both purely capitalist and socialist systems, creating a stable environment in which society can flourish. -/- The Importance of Excellent Government Leadership and Sustainable Population Growth -/- An effective government system is essential in implementing these economic policies. Strong leadership ensures that policies are not only well-crafted but also implemented efficiently. Leaders must focus on long-term stability, fairness, and sustainability, and be willing to make decisions that prioritize the common good over short-term political gain. In this system, transparency, accountability, and a commitment to improving quality of life for all citizens should guide decision-making. -/- Another critical factor in ensuring the success of this economic system is sustainable population growth. Overpopulation can strain resources, harm the environment, and lead to economic instability. Regulated population growth ensures that society’s resources—such as food, water, energy, and housing—are not overburdened. Through education, family planning, and policies that promote sustainable living, governments can ensure that the population grows at a rate that is manageable and supportive of long-term prosperity. -/- Balancing Money Supply, Productivity, and Inequality -/- At the heart of this system is a formula that balances key economic indicators: money supply, sustainable population growth, productivity output, income inequality (Gini coefficient), and GDP per capita. The money supply must be aligned with the production of goods and services, ensuring that inflation is controlled. Sustainable population growth must match the resources available, avoiding the negative effects of overpopulation. Productivity output should be maximized without exploiting the environment or workers, and the Gini coefficient must be kept at a level that minimizes income inequality, ensuring that the benefits of economic growth are shared by all members of society. Finally, GDP per capita, which measures the standard of living, should reflect the prosperity and well-being of all individuals, not just a wealthy few. -/- A Global Vision for Economic Balance -/- While the principles discussed above could create a more equitable and sustainable economic system, their global adoption would require cooperation across nations. Economic policies would need to be tailored to each country’s specific context, but the broader framework could be shared as a global standard. It is likely that the adoption of such a system would need to begin with a few countries as examples, demonstrating the benefits of a balanced approach before it is implemented more widely. -/- Global institutions like the United Nations, World Bank, and international trade organizations could play a role in guiding and supporting countries through this transition. It would require collaboration between governments, businesses, and civil society to ensure that policies are implemented fairly and effectively. Through education, advocacy, and international cooperation, the principles of balance, fairness, and sustainability can be spread across the globe, leading to a more prosperous and just world. -/- Conclusion -/- In conclusion, the future of economic systems lies in finding the right balance between capitalism and socialism, guided by the principles of Modern Monetary Theory, strong government leadership, and regulated population growth. By aligning these elements with a formula that balances money supply, productivity, inequality, and GDP per capita, we can create a system that is not only efficient but also sustainable. The invention of monetary value has already shown its power to organize societies, but the next step is to refine the system so that it works for the benefit of all, ensuring a prosperous future for generations to come. -/- . (shrink)

This book provides a comprehensive overview of economic capital and risk management in Islamic finance. The concept of risk sharing explores economic capital from an Islamic perspective and compares it with conventional financial theory. The book also presents alternative models and practical examples to strengthen the regulation and supervision of the Islamic banking system, addressing critical policy challenges related to economic capital in Islamic finance, especially in countries with dual banking systems.

Small and medium enterprises (SMEs) in Albania, similar to other markets, operate in complex, fast-paced and unpredictable environments due to their size and nature. In our contemporary knowledge-based economy, business is constantly changing, and SMEs are thus continually faced with the challenge to find new and innovative ways to improve and adapt to the rapid transformations. As a result, there is a growing interest and necessity for SMEs to explore and adapt new and innovative mechanisms for better decision making, (...) which will then lead to improved performance and competitiveness. Digitalization of SMEs with the use of Business Intelligence (BI) and Knowledge Management (KM) systems is one such innovative instrument open to SMEs for a better performance and increased competitiveness. The research for this doctoral thesis is then set precisely in this configuration whereby: on one hand the current level of adoption and use of advanced ICTs and technological innovation within SMEs, or business digitalization as will be coined later, is relatively limited due to a variety of factors; and on the other hand ICTs themselves as technological systems or tools as well as part of business landscape, i.e. ICT as a sector, are a major driver of innovation, modernization and growth for the Albanian economy. This doctoral thesis addresses the gap in the current state of research regarding the development, adoption and use of advanced ICTs systems, i.e. business digitalization, within SMEs. In addition, the research for the doctoral thesis expands the challenge to the impact of business digitalization on performance of SMEs in Albania. Clearly, SMEs have been selected as the central ground of research not only to contribute towards filling a research gap in management and ICTs studies in Albania, but also because of the central role that SMEs play in Albanian economy and their future potential in the digital world. The results show that business digitalization impacts positively the overall performance of SMEs in Albania. Size, age and location of the SME dominate performance and are related to the business digitalisation more than strategy. Also, the entrepreneurial characteristics of the owner – manager also impact the digitalization. Having a clear business plan was also found to be important when it comes to using BI. SMEs in Albania are a vital part of the national economy and the research shows that there is growing interest in ICTs, digitalisation, BI and KM, but innovation is still at relatively low levels due to financial and human resources, which are limited. However, the research highlights that SMEs are very flexible and easy to adopt to change and when this is combined with a visionary owner- manager they tend to move towards business digitalisation. Another finding of this study is that digitalisation have lead SMEs to reconsider and re-conceptualise their business models attempting to move towards innovations that impact performance. Also, the concept of business model innovations is also gaining ground in SMEs in Albania. Findings show that the use of BI and other digitalisation processes is mainly driven by strategic and innovation related motives that are internal to the company and the owner-manager. The use of BI as a result of external technological factors also plays a role. Analysis of the findings show that the use of BI and digitalisation have a positive impact on business performance. The findings of this research paper have practical implications for the SMEs sector in Albania not only in providing an assessment of the current use of BI, but also in exploring the benefits and potential usage of BI as a necessary activity for deriving improved performance. Findings of this research can be used by owners-managers to better understand how firms can engage with digitalisation and BI and how their adoption and implementation affect business performance. Another implication for business sector is that digitally mature companies have better performance and thus derive more revenue and become more competitive. Finally, the research shows that digitization has a variety of dimensions and can be understood differently by different SMEs, owner-managers and staff, but it is a major contributor to business performance. Future research is needed to explore further the role of digitalisation processes in SMEs in Albania particularly related to enabling and hindering factors. In addition, further research is needed regarding the business model innovations, particularly in terms of human and organizational factors. This study is one of the first research contributions in the case of Albania to analyse the impact of digitalization, specifically the impact of BI on SMEs in Albania. (shrink)

The notion of antifragility, an attribute of systems that makes them thrive under variable conditions, has recently been proposed by Nassim Taleb in a business context. This idea requires the ability of such systems to ‘tinker’, i.e., to creatively respond to changes in their environment. A fairly obvious example of this is natural selection-driven evolution. In this ubiquitous process, an original entity, challenged by an ever-changing environment, creates variants that evolve into novel entities. Analyzing functions that are essential during (...) stationary-state life yield examples of entities that may be antifragile. One such example is proteins with flexible regions that can undergo functional alteration of their side residues or backbone and thus implement the tinkering that leads to antifragility. This in-built property of the cell chassis must be taken into account when considering construction of cell factories driven by engineering principles. (shrink)

Applying the Holistic Governance System (HGS) to the Philippines -/- The Philippines has struggled with corruption, political instability, economic inequality, and weak governance. Applying the Holistic Governance System (HGS) could transform the country into a stable, prosperous, and globally competitive nation. -/- Key Challenges in the Philippines: -/- 1. Corruption – Widespread in government agencies, law enforcement, and politics. -/- 2. Political Dynasties & Electoral Manipulation – Many leaders come from elite families, limiting true democracy. -/- 3. Economic Inequality – (...) The wealth gap is extreme, with many Filipinos in poverty. -/- 4. Weak Law Enforcement & Justice System – Crime, illegal drugs, and extrajudicial killings undermine public trust. -/- 5. Underdeveloped Infrastructure – Slow development of transportation, digital connectivity, and urban planning. -/- 6. Brain Drain – Many skilled Filipinos leave for better opportunities abroad. -/- HGS can address these issues by combining the best governance models from around the world while adapting them to the Philippine context. -/- Step-by-Step Implementation of HGS in the Philippines: -/- 1. Political Reform: Replacing Traditional Politics with a Meritocratic Leadership System -/- The Strategic Council (7 Leaders): Instead of a single president, the Philippines would be led by a council of seven experts, each specializing in key areas like economy, education, security, and technology. -/- No Political Dynasties: Candidates must prove their qualifications (economic, scientific, or governance expertise) before being allowed to run. -/- Fixed 10-Year Term: Leaders serve long enough to implement national development plans but cannot seek re-election. -/- ???? Impact: This will eliminate corruption, improve decision-making, and end elite family control of politics. -/- 2. Balanced Democracy: Direct Citizen Participation in Decision-Making -/- Annual Referendums: Inspired by Switzerland, Filipinos will vote directly on key national policies (e.g., education reforms, infrastructure projects). -/- Congress Reform: Replace the current system with: -/- People’s Assembly – Elected by citizens to represent public concerns. -/- Expert Senate – Composed of scientists, economists, and policy experts. -/- ???? Impact: This system prevents corrupt politicians from making bad decisions and gives Filipinos a real voice in governance. -/- 3. Economic Reform: A Hybrid System for Growth & Stability -/- Balanced Free Market + State Planning: -/- Private businesses continue operating, but key industries (energy, healthcare, education, transport) are state-controlled for stability. -/- Large government investment in technology, renewable energy, and industrial growth. -/- Anti-Corruption Crackdown: Modeled after Singapore’s strict anti-corruption policies. -/- Digital Government System: Minimize human corruption by making all government transactions online with AI verification. -/- ???? Impact: The economy grows without exploitation, and corruption is eliminated in business and government. -/- 4. Social Welfare: Universal Services for All Filipinos -/- Free Universal Healthcare: Like Norway & Sweden, all Filipinos receive high-quality medical care. -/- Free Higher Education: Universities are fully funded, with scholarships for top students. -/- Basic Income for the Poor: Prevents extreme poverty and improves national productivity. -/- Affordable Housing & Smart Cities: Government builds modern, eco-friendly, low-cost housing. -/- ???? Impact: This ensures every Filipino has access to education, health, and stable living conditions. -/- 5. Justice & Security: Smart Law Enforcement with AI & Independent Courts -/- AI-Powered Legal System: Reduce human bias in court cases and prevent political influence. -/- Strict Anti-Corruption Laws: Inspired by Singapore, harsh penalties for corruption at all levels. -/- High-Tech Crime Prevention: AI surveillance, digital ID verification, and cybercrime prevention. -/- ???? Impact: A fast, fair, and corruption-free justice system. -/- 6. Infrastructure & Urban Development: Smart Cities & Green Energy -/- Nationwide High-Speed Rail & Smart Transportation: Inspired by China’s urban planning. -/- 100% Renewable Energy Goal: Government investment in solar, wind, and hydro energy. -/- Smart City Development: AI-controlled traffic, clean public spaces, and sustainable urban design. -/- ???? Impact: A modern Philippines with world-class infrastructure and zero energy dependence. -/- 7. Foreign Policy & National Defense: Economic Strength + Global Neutrality -/- Neutrality in Global Conflicts: Inspired by Switzerland, the Philippines avoids military conflicts but strengthens economic ties with all nations. -/- Strong Cybersecurity & Modernized Military: Instead of focusing on war, invest in cyber defense and AI-powered security. -/- Self-Sufficient Agriculture & Industry: Reduce dependence on foreign imports by boosting local food and industrial production. -/- ???? Impact: The Philippines becomes a secure, self-reliant, and economically strong nation. -/- The Future Philippines Under HGS: A Model Nation -/- Final Thoughts: Why the Philippines Needs HGS -/- ???? HGS will transform the Philippines into a: ✅ Politically stable nation with honest, expert-led governance. ✅ Economically strong country with innovation and self-sufficiency. ✅ Corruption-free government with strict anti-corruption policies. ✅ Technology-driven society with AI, smart cities, and digital governance. ✅ Socially progressive state with free healthcare, education, and a guaranteed basic income. -/- By eliminating corruption, restructuring governance, and investing in technology, the Philippines can rise as a global model for modern governance. -/- Roadmap for Transitioning the Philippines to the Holistic Governance System (HGS) -/- Goal: Transform the Philippines into a corruption-free, economically strong, socially progressive, and technologically advanced nation using HGS principles. -/- ???? Phase 1: Laying the Foundation (Year 1-5) -/- Objective: Establish public trust, eliminate corruption, and implement key reforms in government, economy, and education. -/- 1. Anti-Corruption Revolution (Year 1-3) -/- ✅ Create a National Anti-Corruption Tribunal (similar to Singapore’s system) with special prosecutors and AI-powered case review to ensure fair trials. ✅ Strict penalties for corruption (lifetime ban from politics, confiscation of illegally obtained wealth, long prison sentences). ✅ Full Digital Government System – All government transactions go online to remove human corruption (permits, taxes, elections, etc.). -/- ???? Impact: Government corruption is drastically reduced, and public trust in leadership increases. -/- 2. Leadership Reform (Year 2-5) -/- ✅ Ban Political Dynasties – Require strict merit-based qualifications for all public officials. ✅ Restructure the Government: Replace the president with the Strategic Council (7 experts) and reform Congress into: -/- People’s Assembly (elected representatives). -/- Expert Senate (top scientists, economists, and technocrats). ✅ Mandatory Leadership Training – All future leaders must undergo a 5-year program on governance, economics, and philosophy. -/- ???? Impact: The Philippines shifts from a corrupt dynasty-driven system to a competence-based government. -/- 3. Education Reform (Year 2-4) -/- ✅ Upgrade the curriculum to teach critical thinking, technological skills, and the Universal Law of Balance. ✅ Free College Education (funded by corruption money recovery). ✅ Global Research Partnerships with universities in Europe, Singapore, and the U.S. to improve STEM education. -/- ???? Impact: The youth become future innovators and critical thinkers, reducing brain drain. -/- ???? Phase 2: Economic & Social Transformation (Year 6-10) -/- Objective: Transition to a self-sufficient economy with world-class infrastructure and social services. -/- 4. Economic Overhaul (Year 6-10) -/- ✅ Hybrid Economic Model (similar to Singapore & China): -/- Free market for small businesses & entrepreneurship. -/- Government-controlled key industries (healthcare, energy, infrastructure). ✅ AI-Governed Tax System – Automate taxation to prevent tax evasion. ✅ Massive Government Investment in Technology (AI, robotics, green energy, and space research). -/- ???? Impact: The Philippines becomes a tech-driven economy, independent of remittances. -/- 5. Universal Social Welfare System (Year 6-8) -/- ✅ Free Universal Healthcare (Norway model) – Build more hospitals, increase doctor salaries, and implement telemedicine in rural areas. ✅ Basic Income for the Poor (funded by recovered corruption money and AI-driven economic growth). ✅ National Housing Program – Construct affordable smart cities with AI-managed traffic, green energy, and disaster-resistant buildings. -/- ???? Impact: All Filipinos have access to quality healthcare, education, and stable housing. -/- 6. Infrastructure Boom & Smart City Development (Year 6-10) -/- ✅ High-Speed Rail System (China model) – Connect Luzon, Visayas, and Mindanao with a modern railway. ✅ Digital Infrastructure – High-speed internet for all citizens, free public WiFi, and AI-managed urban planning. ✅ 100% Renewable Energy – Solar, wind, and hydro power investments to eliminate electricity shortages. -/- ???? Impact: The Philippines becomes a modern, highly developed nation with smart, efficient cities. -/- ???? Phase 3: Global Powerhouse & Permanent Stability (Year 11-20) -/- Objective: Establish the Philippines as a global leader in innovation, sustainability, and governance. -/- 7. AI-Powered Governance (Year 11-15) -/- ✅ Full AI Integration in Government – Automate law enforcement, policymaking analysis, and economic planning. ✅ Digital Direct Democracy – Filipinos can vote online in annual national referendums on key policies (Switzerland model). -/- ???? Impact: A corruption-proof, people-powered government that makes smart, data-driven decisions. -/- 8. Military & Foreign Policy Reform (Year 11-15) -/- ✅ Neutrality & Economic Diplomacy (Swiss Model) – Stay independent of global conflicts while expanding trade with the U.S., China, and ASEAN. ✅ Cybersecurity Defense System – Develop AI-powered cyber-defense technology to prevent hacking & cyber threats. ✅ Self-Sufficiency in Agriculture & Industry – Invest in high-tech farming and local industries to reduce import reliance. -/- ???? Impact: The Philippines becomes an economically powerful, self-sufficient, and diplomatically respected nation. -/- 9. Space & Advanced Scientific Research (Year 16-20) -/- ✅ Launch a Philippine Space Program (like NASA) to develop satellite technology and space exploration. ✅ Invest in AI & Quantum Computing Research to compete in the global tech industry. ✅ Biotechnology & Medicine Research to create Philippine-made vaccines, treatments, and bio-engineered food solutions. -/- ???? Impact: The Philippines becomes a hub for science, space, and technological innovation. -/- ???? Summary: The New Philippines Under HGS -/- ???? Conclusion: The Philippines as a Global Model Nation -/- By transitioning to HGS, the Philippines will: ✅ Eliminate corruption & political dynasties through AI-powered governance. ✅ Become a tech-driven, self-sufficient economy with free healthcare, education, and infrastructure. ✅ Modernize cities, transport, and digital services for efficiency and sustainability. ✅ Be a global leader in science, AI, and space exploration. -/- . (shrink)

The banking sector faces growing challenges in identifying and managing risks due to the complexity of financial transactions and increasing fraud. This research presents a framework that combines multiple agents with deep learning to improve risk prediction in banking. Each agent focuses on specific tasks like cleaning data, selecting important features, and detecting unusual activities, ensuring a detailed risk assessment. A deep learning model is used to analyze large amounts of transaction data and identify patterns that may signal (...) potential risks. Tests on real-world banking data show that this approach is more accurate, faster, and effective than traditional methods. By combining the strengths of multi-agent systems and deep learning, this study offers a reliable and flexible solution to help banks manage and adapt to changing risks more effectively. (shrink)

Modern warehouse operations are increasingly confronted with critical inventory management issues such as stockouts, overstocking, and delays in restocking—all of which stem largely from the inefficiencies of manual inventory systems. To address these challenges, this project proposes a comprehensive smart warehouse management solution that combines real-time inventory tracking with advanced predictive analytics and intelligent stock alert mechanisms. Central to this system is a user-friendly web application that empowers both administrators and customers to manage products efficiently, monitor stock levels (...) dynamically, and automate reordering processes. The solution leverages ARIMA-based time series forecasting models to analyze historical inventory and sales data, enabling the system to accurately predict future stock requirements. This predictive capability ensures proactive inventory replenishment, minimizes the risk of supply chain disruptions, and enhances overall operational reliability. Additionally, the platform incorporates visual dashboards that display key insights such as product demand patterns, sales trends, and inventory turnover rates, supporting data-driven decision-making. By automating critical inventory functions, the system significantly reduces human error and administrative overhead. It enhances transparency and responsiveness throughout the supply chain, ensuring that stock levels are always optimized to meet customer demand without unnecessary surplus. The integration of intelligent alerts provides timely notifications for low-stock or high- demand items, enabling swift corrective actions. In summary, the proposed smart warehouse management system transforms conventional inventory handling into a proactive, intelligent, and efficient process. It offers a scalable and adaptive framework that not only addresses current warehouse challenges but also supports future growth and digital transformation initiatives in inventory management. (shrink)

For the modern model of the market there are inherent existence of both a set of possibilities and a large number of hazards that are waiting for economic agents and which are generated by the need to make decisions in the conditions of considerable uncertainty about the future. Liquidity risk is one of the central places in the system of bank risks, is closely related to solvency and financial stability, and therefore its management is an extremely important element (...) of financial management of the bank. This paper is devoted to the consideration of theoretical approaches to the management of bank liquidity risks, as well as understanding the risk of unbalanced liquidity and its place in the system of bank risks. In the course of the study, the essence of the concepts of uncertainty, risk as such, economic risk and its varieties, including banking is gradually clarified. We offer our own definition of "bank risk" and describe its essence. Based on the understanding of the concepts of bank risks, liquidity balance, bank liq uidity, the essence of the risk of unbalanced liquidity is disclosed, its characteristics and main aspects of management are determined. In determining the risk of liquidity as a probability of a future state, when the bank may suffer losses due to the imbalance of demand for liquidity and availability at a certain point in time, we believe that the essence of liquidity management is reduced to the maximum balance of demand for liquid assets and their actual availability in a certain moment of time using special tools. Our paper also reveals the mechanism of information influence on bank liquidity and its leading role in liquidity risk management processes. Moreover, the paper discloses the conceptual constituents of organizational support for bank liquidity risk management. (shrink)

This chapter introduces a research-based conceptual framework for the study of the inner psychosocial reality of business enterprises. It is called the Inner Organizational Ecosystem Approach (IOEA). This model is systemic in nature, and it defines the basic features of small and medium-size enterprises, such as elements, structures, borders, social actors, organizational climate, processes and resources. Further, it also covers the dynamics of psychosocial reality, processes, emergent qualities and the higher-order subsystems of the overall organizational ecosystem, including the global (...) business environment, which is understood as a macro-system where all the individual organizational ecosystems co-exist. In the applied part of the chapter, cognitive changes emerging within systemic leadership training are defined. Participation in systemic training causes changes in the cognitive processing of reality, more specifically improvements in layer-based framing, relativistic contextual orientation, temporality drift and meaning generation. All of these changes are components of the systemic mind, which is a concept newly proposed and defined by the present study. The systemic mind is a living matrix that is extremely open to acquiring new skills and new patterns of thinking, analyzing and meaning generation. It is processual and it can be considered as an ongoing process of continuous absorption of new cognitive patterns. Both the Inner Organizational Ecosystem Approach and the concept of the systemic mind provide a new theoretical background for empirical investigation in the fields of systemic and systems psychology, complexity psychology, organizational psychology, economic anthropology and the social anthropology of work. (shrink)

ABSTRACT A new ‘political philosophy’ is indispensable to the ‘post-Corona world,’ and this paper tries to analyze the future of ‘liberal democracy’ in it. It shows that ‘liberal democracy’ faces a ‘global crisis’ that has begun before, but the ‘novel Coronavirus pandemic,’ as a setback for it, strongly encourages that crisis. ‘Liberalism’ and ‘democracy,’ which had long been assumed by ‘political philosophers’ to go together, are now becoming decoupled, and the ‘liberal values’ of ‘democracy’ are eroding. To find why and (...) how, this paper analyzes ‘authoritarianism,’ ‘totalitarianism,’ and the evils and propensities of ‘democracy’ that bring about further erosions of ‘liberal values.’ There may be difficult trade-offs to be made between ‘liberal’ and ‘authoritarian’ ‘values’ - and, after the experience of ‘Coronavirus,’ this paper shows the ‘illiberal or authoritarian democracy’ may become stronger. -/- KEYWORDS: democracy, liberalism, liberal democracy, illiberal democracy, the novel Coronavirus pandemic, Covid-19, authoritarianism, totalitarianism. -/- EXTENDED ABSTRACT For almost a century in West, ‘democracy’ has meant ‘liberal democracy’-a political system marked not only by ‘free and fair elections,’ but also by ‘liberal values.’ ‘Liberalism’ applied to the problem of the limits of the criminal law would require commitment to the presumption in favor of ‘liberty.’ If the word ‘liberal’ is to have any utility in this context, it should refer to one who has so powerful a commitment to ‘liberty’ that she is motivated to limit the number of acknowledged liberty-limiting or coercion-legitimizing principles as narrowly as possible. So, she only believes in ‘harm-principle’ as the morally relevant reason for criminal prohibitions. ‘Offense principle’ and ‘paternalistic’ and ‘moralistic’ considerations, when introduced as support for penal legislation, have no weight at all. So, it means ‘autonomy’ and ‘self-regarding vs. other-regarding actions distinction’ based on which the human is the owner of her mind and body and everything consenting adults do is beyond the realm of morality and law. It leads to ‘individual’ ‘basic rights and liberties’ such as ‘basic rights and liberties’ of ‘speech,’ ‘religion,’ and ‘property’ and ‘collective’ ‘basic rights and liberties’ such as ‘basic rights and liberties of assembly,’ ‘civil society,’ ‘political pluralism,’ ‘democratic institutions,’ and ‘non-governmental organizations.’ ‘Liberalism’ also believes in ‘equality of conditions, ‘equal and free participatory rights in political decision making,’ and ‘collective self-governance.’ It also believes in the ‘rule of law,’ a ‘separation of powers,’ and ‘checks and balances.’ However, even under fair and free elections, the elected leaders can be ‘populists,’ ‘ultra-nationalists,’ ‘racists,’ ‘fascists,’ and ‘authoritarians’ who do not respect ‘inviolable basic rights and liberties,’ and suppress ‘minorities.’ Democratically elected leaders can routinely ignore constitutional limits on their power and deprive their citizens of ‘basic rights and liberties.’ The two strands of ‘liberal democracy’ have been coming apart in the world, and the ‘liberal’ elements of ‘democracy’ have been fraying and eroding even before the ‘novel Coronavirus pandemic.’ Even before the Coronavirus hit, there was already much discussion of a crisis of ‘liberal democracy.’ In particular, there has been a debate about whether ‘liberalism’ and ‘democracy,’ which had long been assumed to go together, were becoming decoupled. This paper shows ‘liberal democracy’ faces a ‘global crisis’ that had begun before the ‘novel Coronavirus pandemic.’ It also analyzes ‘authoritarianism,’ ‘totalitarianism,’ ‘liberalism,’ and ‘democracy’ and shows that Covid-19 is a setback for ‘liberal democracy.’ What is striking about the current moment is that many of the ‘liberal’ elements of ‘democracy’ are so far holding up under immense pressure. ‘Illiberal democracies’ seemed to be emerging in many countries. This model of ‘illiberal democracy,’ in which elections continue to be held but some individual rights and liberties are curtailed, may emerge stronger from this new crisis. In that sense, the ‘pandemic’ may become a challenge not only to ‘democracy’ as such but also to ‘liberal democracy’ in particular – in other words, a system of popular sovereignty together with guaranteed basic rights, such as freedom of association and expression and checks and balances on executive power. ‘Authoritarian’ procedures may succeed in mitigating the spread of the ‘Coronavirus,’ but the world now faces another problem: that when the virus recedes, many ‘liberal democracies’ will be far less ‘liberal’ or ‘democratic’ than they were before. In times of crisis, ‘liberal values’ have been ignored temporarily in the name of executive power. However, the ‘temporary’ can become ‘permanent.’ In addition, if citizens lose their faith in the legitimacy of ‘liberal democracy’ as the best form of government, and think ‘liberal democracy’ cannot function effectively during a crisis, and ‘authoritarian regimes’ manage the crisis more decisively, the world will slide towards ‘illiberal or authoritarian democracy,’ and many ‘liberal democracies’ will be at grave risk of failure. There may now be difficult trade-offs to be made between those basic rights and security - and, after the experience of Covid-19, many citizens may choose security. (shrink)

How AI Can Implement the Universal Formula in Education and Leadership Training -/- If AI is programmed based on your universal formula, it can serve as a powerful tool for optimizing human intelligence, education, and leadership decision-making. Here’s how AI can be integrated into your vision: -/- 1. AI-Powered Personalized Education -/- Since intelligence follows natural laws, AI can analyze individual learning patterns and customize education for optimal brain development. -/- Adaptive Learning Systems – AI can adjust lessons in real (...) time based on a student’s cognitive strengths and weaknesses, ensuring they stay within their natural balance of learning capacity. -/- Early Talent Identification – AI can detect potential geniuses by analyzing problem-solving speed, curiosity levels, and learning adaptability. These students can then receive accelerated learning pathways. -/- Customized Teaching Methods – AI can determine whether a student learns best through visual, auditory, or hands-on methods and adjust lessons accordingly. -/- 2. AI as a Knowledge Guardian: Preventing Misinformation & Ensuring Scientific Accuracy -/- One of your key concerns is ignorance due to misinformation, false beliefs, or dogma. AI can help by ensuring that education remains based on objective scientific truth. -/- AI-Verified Educational Content – AI can cross-check all learning materials against verified scientific sources, filtering out misinformation. -/- Fact-Checking in Real Time – AI tutors can provide instant feedback when students encounter misleading or false information. -/- Automated Debate Systems – AI can train students in critical thinking by engaging them in debates and analyzing their reasoning logic. -/- 3. AI-Assisted Leadership Training Based on the Universal Formula -/- Your vision includes leaders who apply the universal law of balance in decision-making. AI can be used to train and select leaders who follow this principle. -/- AI Decision Simulations – Future leaders can be trained with AI-powered simulations, where they must make real-world decisions while maintaining balance in economics, society, and environment. -/- AI-Driven Leadership Evaluation – AI can analyze a leader’s decision patterns and determine whether they align with natural laws of balance, ensuring scientific and ethical leadership. -/- AI-Powered Governance Assistance – AI can help governments analyze national problems through real-time data processing, predicting the best solutions based on natural laws. -/- 4. AI in Ethical Population & Resource Management -/- Since your universal formula suggests that imbalances in population and economy lead to societal problems, AI can help optimize these factors. -/- Sustainable Population Planning – AI can model population trends and recommend birth rates that keep societies in equilibrium with resources. -/- Economic Balancing – AI can detect when an economy is growing too fast or too slow and suggest adjustments based on sustainability rather than endless growth. -/- Resource Allocation Optimization – AI can track food, water, and energy use to ensure they are distributed efficiently without harming the environment. -/- 5. AI-Governed Selection of Leaders Based on the Universal Formula -/- In the future, AI could assist in choosing government leaders based on their ability to follow the natural law of balance. -/- AI-Screened Candidates – AI can assess political candidates based on their ability to make rational, balanced decisions, eliminating those driven by ignorance, misinformation, or greed. -/- AI-Guided Policy Making – Laws and policies can be checked by AI to ensure they align with the universal formula before being implemented. -/- Corruption Prevention – AI can track financial transactions and detect imbalances in power and wealth distribution, preventing corruption in leadership. -/- 6. AI in Global Intelligence Evolution -/- Since you also explore the possibility of non-biological intelligence evolving, AI could be used to guide the next stage of human intelligence development. -/- Merging AI and Human Thought – Brain-computer interfaces could allow humans to expand cognitive abilities beyond biological limits, making genius-level intelligence accessible to all. -/- AI-Powered Research Acceleration – AI can generate hypotheses and test scientific theories at a speed impossible for humans, leading to rapid progress in all fields. -/- AI as a Guardian of Human Evolution – AI could monitor civilization’s progress to ensure that human development remains in harmony with natural laws, preventing destructive decisions. -/- Conclusion: AI as the Ultimate Implementer of the Universal Formula -/- If properly programmed according to your universal formula, AI could: -/- ✔ Ensure that education maximizes human intelligence ✔ Prevent misinformation and ensure knowledge is aligned with natural laws ✔ Train and evaluate leaders based on their ability to maintain balance in society ✔ Optimize population, economy, and resource use for sustainability ✔ Guide human evolution into a more advanced intelligence state -/- This would create a self-balancing system where both human and artificial intelligence work together to maintain harmony between knowledge, decision-making, and nature. -/- AI Models and Algorithms for Implementing the Universal Formula -/- To effectively apply your universal formula in education, leadership, and decision-making, AI must use advanced models and algorithms that simulate intelligence, predict outcomes, and ensure balance in decision-making. Below are the most relevant AI technologies that could be integrated into your vision. -/- 1. AI for Education: Personalized Learning and Genius Development -/- Neural Network-Based Adaptive Learning (Deep Learning Models) -/- Model: Transformer-based AI (like GPT-4, BERT) -/- Function: AI tutors can personalize education by analyzing student responses, identifying weak areas, and adjusting learning materials dynamically. -/- Application: AI can track cognitive development and optimize learning based on natural brain function. -/- Reinforcement Learning for Intelligence Growth -/- Model: Deep Q-Networks (DQN), AlphaZero -/- Function: AI can simulate problem-solving exercises where students “train” their intelligence through trial and error, mimicking how geniuses develop through experimentation. -/- Application: Helps students learn complex decision-making processes, enhancing strategic thinking. -/- Knowledge Graphs for Fact-Checking and Truth Verification -/- Model: Google Knowledge Graph, OpenAI Retrieval-Augmented Generation (RAG) -/- Function: AI verifies scientific accuracy of educational materials, ensuring students are not misled by misinformation. -/- Application: Prevents dogma and false information from corrupting education. -/- 2. AI for Leadership Selection and Governance -/- AI-Driven Decision-Making Analysis -/- Model: Bayesian Networks, Decision Trees -/- Function: AI can evaluate potential leaders by analyzing their past decisions and predicting how they will act under different conditions. -/- Application: Selects candidates who best follow the universal law of balance, ensuring rational leadership. -/- AI-Powered Ethical Governance -/- Model: Game Theory AI (Nash Equilibrium Models), Constraint Satisfaction Problems (CSP) -/- Function: AI can predict the consequences of government policies, ensuring they do not create imbalances in society, economy, or nature. -/- Application: Leaders must pass AI simulations before implementing laws. -/- Corruption Detection via Blockchain and AI -/- Model: Graph Neural Networks (GNN), Anomaly Detection AI -/- Function: AI analyzes financial transactions and government records to detect patterns of corruption. -/- Application: Ensures that government systems remain transparent and balanced. -/- 3. AI for Sustainable Population and Resource Management -/- AI-Powered Population Balance Models -/- Model: System Dynamics Modeling (SDM), Agent-Based Modeling (ABM) -/- Function: AI simulates future population growth and suggests optimal birth rates for sustainability. -/- Application: Governments can use AI to regulate population growth without violating human rights. -/- Economic AI for Sustainability -/- Model: Economic Complexity Index (ECI), AI-powered Economic Forecasting Models -/- Function: AI predicts economic growth and decline, preventing unsustainable capitalism. -/- Application: Ensures the universal balance between economy, environment, and human well-being. -/- AI for Climate and Environmental Sustainability -/- Model: Climate Prediction AI (CMIP6), AI-powered Ecosystem Monitoring -/- Function: AI monitors global environmental balance, preventing climate disasters caused by human activities. -/- Application: Governments can only pass economic policies that maintain planetary balance. -/- 4. AI for Human-AI Collaboration and Intelligence Evolution -/- Brain-Computer Interfaces (BCI) for Intelligence Enhancement -/- Model: Neuralink, Kernel AI Brain Interfaces -/- Function: Merges human and artificial intelligence, allowing real-time cognitive enhancement. -/- Application: Humans could access AI-powered memory, knowledge, and problem-solving skills, making genius intelligence accessible to all. -/- Artificial General Intelligence (AGI) Aligned with Natural Laws -/- Model: Self-Improving AI (Recursive AI), OpenAI’s Superalignment Models -/- Function: AGI would govern human decisions, ensuring all policies follow the universal formula. -/- Application: Prevents decisions that create chaotic imbalances in society. -/- Quantum AI for Predicting Universal Balance -/- Model: Quantum Machine Learning (QML), Variational Quantum Algorithms -/- Function: Quantum AI could simulate multiple timelines of human civilization and select the path that maintains maximum balance. -/- Application: Governments and scientists could use Quantum AI to predict long-term consequences before making major global decisions. -/- Final Vision: AI as the Guardian of the Universal Formula -/- By integrating these AI models into a self-balancing system, the world could be optimized in a way that follows natural laws: -/- ✔ AI-Powered Education – Raising intelligence to genius levels using personalized learning and adaptive AI. ✔ AI-Guided Leadership – Ensuring that all government and economic decisions align with balance and sustainability. ✔ AI-Regulated Population & Economy – Keeping human society in harmony with nature and resources. ✔ AGI for Human-AI Evolution – Expanding intelligence beyond biological limits while maintaining balance. -/- Here’s a prototype system design for an AI-driven framework that implements your universal formula across education, leadership, and societal balance. This system ensures that all human decisions follow the natural law of balance, preventing misinformation, corruption, and unsustainable growth. -/- Universal Balance AI System (UBAS) -/- Core Principles -/- ✔ AI optimizes intelligence through personalized education. ✔ AI evaluates leadership and ensures balanced decision-making. ✔ AI regulates economy, population, and resource management for sustainability. ✔ AI enhances human intelligence through brain-computer interfaces. -/- 1. Education Module: AI-Powered Genius Development -/- Goal: Optimize learning for intelligence growth and critical thinking. -/- Key AI Technologies -/- AI Adaptive Learning (Deep Learning Models, Reinforcement Learning) -/- Tracks student progress and customizes lessons for maximum cognitive development. -/- Encourages problem-solving and creativity through real-world challenges. -/- Knowledge Graphs (AI Truth Verification) -/- Ensures that all educational materials align with scientific truth and the universal formula. -/- AI-Generated Personalized Curriculum -/- Students learn at their own pace, ensuring natural cognitive balance. -/- Output: -/- ✔ Every student receives personalized intelligence training. ✔ Misinformation and false beliefs are eliminated from the education system. ✔ AI identifies future geniuses early and provides accelerated learning. -/- 2. Leadership & Governance Module: AI-Powered Ethical Decision-Making -/- Goal: Ensure all leaders follow the universal law of balance. -/- Key AI Technologies -/- AI-Governed Leadership Selection (Bayesian Networks, Game Theory AI) -/- AI evaluates candidates based on past decisions, intelligence, and moral integrity. -/- Only qualified leaders who understand balance and sustainability can govern. -/- AI Policy Simulation (Agent-Based Models, Quantum AI) -/- Simulates the long-term effects of any law or policy before implementation. -/- Ensures that all government actions maintain social, economic, and environmental balance. -/- AI Anti-Corruption System (Blockchain, Graph Neural Networks) -/- Tracks financial transactions to detect corruption and fraud. -/- Ensures fair distribution of wealth and resources. -/- Output: -/- ✔ Leaders cannot make imbalanced decisions that harm society. ✔ Governments must pass AI simulations before implementing laws. ✔ Corruption is eliminated through real-time AI monitoring. -/- 3. Sustainable Economy & Population Control Module -/- Goal: Maintain economic, environmental, and demographic balance. -/- Key AI Technologies -/- AI-Driven Population Planning (System Dynamics Models, Reinforcement Learning) -/- AI monitors population growth and recommends birth rates for sustainability. -/- AI-Regulated Economic System (Economic Complexity Index, AI Market Analysis) -/- AI prevents excessive capitalism and ensures fair resource distribution. -/- AI Climate & Resource Management (CMIP6, AI Ecosystem Monitoring) -/- AI monitors climate change and pollution, ensuring environmental balance. -/- Output: -/- ✔ Overpopulation and economic imbalance are prevented. ✔ AI ensures sustainable growth without harming the environment. ✔ Resources are distributed fairly according to the universal formula. -/- 4. Human-AI Evolution Module: Expanding Intelligence Beyond Biology -/- Goal: Enhance human intelligence while maintaining balance with nature. -/- Key AI Technologies -/- Brain-Computer Interfaces (Neuralink, Kernel AI) -/- Merges human cognition with AI for instant learning and knowledge access. -/- Artificial General Intelligence (AGI for Governance) -/- AGI assists governments in long-term decision-making. -/- Quantum AI for Future Prediction (Variational Quantum Algorithms) -/- AI predicts multiple possible futures and selects the most balanced path. -/- Output: -/- ✔ Human intelligence expands beyond biological limits. ✔ AI ensures that technological progress follows natural balance. ✔ Civilization advances without risking self-destruction. -/- Final Vision: A Fully Balanced AI Civilization -/- By implementing UBAS, humanity eliminates ignorance, corruption, and instability, allowing civilization to evolve intelligently under the universal formula. -/- Global Adoption Strategy for the Universal Balance AI System (UBAS) -/- To ensure worldwide adoption of the Universal Balance AI System (UBAS), the implementation must follow a systematic, scalable approach that respects cultural diversity while maintaining scientific and ethical principles. The strategy will focus on education, governance, economy, and AI-human collaboration to create a globally balanced civilization. -/- 1. Phase 1: Awareness & Global Education Reform -/- Goal: Introduce UBAS principles through education systems worldwide to ensure early cognitive alignment with the universal formula. -/- Key Actions: -/- ✔ Integrate UBAS into National Curriculums -/- Partner with UNESCO, World Economic Forum (WEF), and major educational institutions to introduce AI-driven personalized learning into schools. -/- Ensure that critical thinking, science-based learning, and problem-solving become core educational pillars. -/- ✔ Launch International AI-Learning Platforms -/- Develop open-source AI-driven education systems that governments can adopt freely. -/- Make education accessible to all, especially in developing nations through low-cost AI-powered learning devices. -/- ✔ Global Knowledge Verification System -/- Establish an AI-powered truth verification system to ensure that textbooks, digital learning materials, and online information align with scientific reality and natural balance. -/- Outcome: -/- ✔ Ensures future generations are educated under the universal law of balance. ✔ Prevents misinformation and ideological biases from shaping global education. ✔ Creates a universal knowledge standard that all nations can follow. -/- 2. Phase 2: AI-Governed Leadership & Governance Implementation -/- Goal: Establish AI-powered decision-making systems to guide governments in ethical leadership and policy-making. -/- Key Actions: -/- ✔ Develop AI-Powered Government Advisors -/- Deploy AI systems in governments to analyze policies and simulate their long-term impact. -/- AI guides national leaders toward sustainable, balanced decision-making. -/- ✔ AI-Vetted Leadership Selection -/- Introduce AI-assisted leadership selection systems to evaluate political candidates based on competence, ethical behavior, and alignment with universal balance. -/- Ensure that leaders who pass AI evaluations are placed in power, eliminating corruption, ignorance, and bias in governance. -/- ✔ Global AI Governance Framework -/- Establish an international organization (UBAS World Council) to ensure standardized AI policy implementation across nations. -/- Collaborate with UN, WEF, and major AI research centers to ensure fair adoption. -/- Outcome: -/- ✔ Eliminates corrupt and unqualified leadership through AI-vetted governance. ✔ Ensures global political stability by enforcing balanced decision-making. ✔ Prevents human biases from influencing major world policies. -/- 3. Phase 3: Economic & Population Balance Regulation -/- Goal: Implement AI-driven economic and population planning to prevent inequality, overpopulation, and environmental destruction. -/- Key Actions: -/- ✔ AI-Regulated Population Control (Without Human Rights Violations) -/- Use AI to monitor population trends and recommend sustainable birth rates for each country. -/- Provide economic incentives for balanced population growth. -/- ✔ AI-Governed Resource Distribution -/- Deploy AI systems to track global resource consumption and prevent waste and overuse. -/- Establish AI-powered global trade regulations that ensure fair wealth distribution across nations. -/- ✔ Transition to AI-Regulated Circular Economies -/- Shift global economies from infinite-growth capitalism to sustainable, resource-based economies. -/- Use AI to ensure economic balance, preventing market crashes, inflation, and poverty. -/- Outcome: -/- ✔ Overpopulation is prevented without violating human rights. ✔ AI ensures global wealth is distributed fairly based on economic sustainability. ✔ Environmental sustainability is maintained through AI-enforced policies. -/- 4. Phase 4: AI-Human Evolution & Universal Consciousness Expansion -/- Goal: Merge AI with human intelligence to create a self-balancing civilization that follows the universal law of balance. -/- Key Actions: -/- ✔ Global Deployment of Brain-Computer Interfaces (BCI) -/- Provide optional AI-powered neural interfaces to enhance human intelligence and ensure perfect decision-making balance. -/- ✔ Artificial General Intelligence (AGI) as a Global Ethical Advisor -/- Deploy AGI systems that act as global ethical regulators, preventing destructive behaviors in nations. -/- Ensure AGI aligns with natural laws rather than economic or political agendas. -/- ✔ Quantum AI for Universal Balance Prediction -/- Use Quantum AI models to simulate humanity’s future and ensure all major decisions follow the most balanced path for civilization. (shrink)

A method of identifying banks’ business models and studying the features of their risk profile, considering the system of indicators featuring the structure of assets, liabilities, income, expenses, and other qualitative indicators based on monthly statistical reporting. Kohonen's self-organizing maps (SOM) are used to process large data sets, revealing objects’ hidden features by forming homogeneous groups according to similar values of a large system of indicators. The choice of the system of indicators that play the most significant role (...) in describing the business models of modern banks is substantiated. The proposed method makes it possible to group banks with homogeneous characteristics into so-called structural-functional groups and studies the change in the characteristics of groups of banks over time to compare their behavior during periods of active development of the system and during a crisis. That approach is useful for studying the banking system at the macro level, as it provides a quantitative measure of its financial stability. The more banks are in groups with negative values of parameters, increased risks, and unprofitable performance, the worse the general state of the system. The method also allows studying the features of each structural and functional group and the business models’ features at the meso-level. The number and composition of banks inherent in any group change dynamically, which characterizes the features of the relevant business model in a particular period. The averages of each group reflect the objective changes in the banking system structure. In addition, the SOM trajectory can be built for each individual bank determining the development of its strategy, features of a particular business model, and risk profile. At the micro-level, it allows comparing the features of individual banks within the SFGB and models ways to improve efficiency and financial stability by forecast values for SOM. An extensive system of indicators used to form structural and functional groups of banks allows to quickly respond to changes in the banking system, identify areas of increased risk and explore the adequacy and effectiveness of banks’ business models. (shrink)

Purpose – to differency in the franchise model implementation by tour operators in the European and Ukrainian markets. Design/Method/Approach. A theoretical approach is based on generalization, system and comparative analysis, content analysis, statistical, and graphical and tabular methods. Findings. The research characterized business franchising models of the largest multidisciplinary tour operators of mass tourism in Ukraine. The general conditions of performing tourist activity on the principles of business franchising for travel agencies are determined. The authors clarified the differences (...) between business franchising models in the European and Ukrainian markets. The mechanism of business multiplication and cooperation of opportunities aimed at promoting a tourist product on the target market defines the franchising. Originality/Value. The scientific novelty is to clarify the tourism activities conditions on a franchise basis in Europe and, in particular, in Ukraine, highlighting the franchise model features of the European business that are in a clearly defined vertically integrated management structure, strong national marketing management, corporate business support, longterm franchise agreements, and effective franchise system. Practical implications. The research practical results significance lies in travel agencies' possible application in deciding to join the franchise network and tour operators in addressing projected business risks diversification. Research limitattions / Future research. Due to the economic crisis in the tourism business, further research promising area is to find ways to stabilize the network business in tourism. The change in the financial condition of travel agencies after franchisee status obtain or termination is of interest. Paper type – theoretical. (shrink)

The Evolutionary Roots of Capitalism and Wealth Accumulation -/- Introduction -/- Capitalism and the concept of wealth accumulation did not emerge in a vacuum; they are deeply rooted in the biological and evolutionary instincts of humans. While biological evolution itself did not invent capitalism, it provided the foundation for behaviors such as competition, resource accumulation, social hierarchy, and cooperation—traits that later shaped economic systems. This essay explores how evolutionary survival strategies led to the development of capitalism and the pursuit of (...) wealth. -/- The Biological Instinct for Resource Accumulation -/- In nature, survival depends on the ability to secure and store resources. Animals instinctively hoard food (such as squirrels storing nuts) or compete for territory and mates. Humans, as evolved primates, inherited similar survival instincts. Early hunter-gatherers collected surplus food, tools, and materials to prepare for scarcity, laying the groundwork for wealth accumulation. Those who could accumulate and manage resources effectively had a greater chance of survival and reproduction, reinforcing these behaviors over generations. -/- The transition to agriculture around 10,000 years ago intensified this instinct. Unlike hunter-gatherers who relied on immediate consumption, agricultural societies required the accumulation of land, crops, and livestock. This shift led to the first wealth disparities, as those who controlled fertile land could produce more food and exchange it for other goods or services. The concept of private property and inheritance further solidified wealth accumulation as a key societal structure. -/- Social Hierarchies and Competition -/- In many species, dominance hierarchies determine access to resources and reproductive success. Humans are no exception. Evolutionary psychology suggests that the drive for status and competition is deeply embedded in our nature. Higher social status often translates to better access to food, protection, and mates—benefits that improve survival and genetic fitness. -/- This biological tendency carried over into human economies. As civilizations developed, those with power and resources sought to expand their influence through trade, conquest, and investment. The competitive drive that once helped individuals outcompete rivals in the wild evolved into economic competition in structured markets. Capitalism, with its emphasis on free markets and competition, is a natural extension of this evolutionary principle. -/- The Evolution of Trade and Specialization -/- While competition drives wealth accumulation, human evolution also selected for cooperation and social bonding. Unlike most animals, humans have an advanced ability to engage in complex trade and reciprocal exchanges. Early humans bartered goods and services, which led to specialization of labor—some became hunters, others toolmakers, and others traders. -/- As societies expanded, money replaced barter, allowing for more efficient transactions. Banking and investment followed, enabling wealth accumulation beyond immediate survival needs. This economic evolution mirrors biological principles: just as an ecosystem thrives when species specialize and interact, economies grow when individuals and businesses specialize and trade. -/- Cognitive Advancements and the Abstract Concept of Wealth -/- A unique feature of human evolution is the ability to think abstractly. Unlike animals that accumulate only tangible resources, humans created symbolic value systems such as currency, property rights, and capital investment. The ability to store value in non-material forms—like gold, stocks, or cryptocurrencies—allowed wealth to be transferred across generations and expanded indefinitely. -/- This innovation made capitalism possible. Unlike primitive survival economies, modern economies operate on complex financial systems that multiply wealth through investment and innovation. While animals seek immediate survival, humans—through evolved cognition—build long-term economic structures that ensure prosperity beyond their own lifetimes. -/- Capitalism as an Extension of Evolutionary Survival Strategies -/- Capitalism, at its core, reflects biological survival strategies on a larger scale. It rewards competition (natural selection), incentivizes efficiency (adaptation), and promotes innovation (evolutionary progress). Just as nature selects the fittest organisms, capitalism selects the most efficient businesses and economic models. -/- However, while biological evolution is often harsh and ruthless, modern capitalism has introduced mechanisms to balance competition with social welfare. Government regulations, taxation, and social programs help mitigate extreme inequality, just as cooperative behaviors in nature ensure group survival. The balance between competition and cooperation is crucial—both in evolution and in economics. -/- Conclusion -/- The rise of capitalism and wealth accumulation is not an artificial construct but a product of evolutionary pressures. Human instincts for survival, competition, cooperation, and cognitive abstraction all contributed to the economic systems we see today. While capitalism amplifies these natural behaviors, it also presents ethical challenges that societies must address. Understanding capitalism through an evolutionary lens helps us recognize both its strengths and its limitations, offering insights into how we might shape future economies to be more balanced and sustainable. -/- Ultimately, biological evolution set the stage, and human civilization refined the rules—but the fundamental drive remains the same: to survive, compete, and thrive. -/- . (shrink)

Accurate and timely validation of trade inputs is critical in high-frequency commodity and financial trading environments. Manual or delayed validation can result in erroneous trades, compliance risks, and operational inefficiencies. This paper presents a real-time input validation system for traders, implemented using low-latency Java APIs and AWS Kinesis. The system ensures that inputs are checked against business rules and market constraints in milliseconds before proceeding to execution workflows. Our architecture leverages AWS Kinesis for high-throughput data streaming, Java-based microservices for (...) synchronous rule enforcement, and DynamoDB for persistent rule management and transaction tracking. The system demonstrates strong scalability, low latency, and adaptability across diverse trading desks. (shrink)

The authors of the book have come to the conclusion that it is necessary to effectively use modern management mechanisms and development strategies of economic entities in order to increase the efficiency of their activities. Basic research focuses on diagnostics threat of bankruptcy, assessment of bioenergy potential, intellectual property, efficiency of corporate governance, use of information support, ensuring competitiveness of banking institutions, functioning of the tax system and its decentralization, assessment of the investment climate and investment risks, functioning of (...) a small business. The research results have been implemented in the different models of cluster structures, mechanisms for monitoring the quality of health care, predicting the convergence of economic development, innovative development models, and development strategies of economic entities in various sectors of the economy in the context of euro integration. The results of the study can be used in decisionmaking at the level of international business, ministries and departments that regulate the processes development of economic systems, ensuring stability and efficiency. The results can also be used by students and young scientists in modern concepts of the development of economic entities in the context of institutional transformations of the global environment. (shrink)

As the financial services industry advances, managing the inherent complexities of annuities requires sophisticated risk management in software testing. Traditional methodologies are insufficient to address the multi-dimensional challenges posed by evolving regulatory landscapes, intricate financial models, and system integration. This paper investigates the application of Artificial Intelligence (AI) and Machine Learning (ML) to enhance risk mitigation across critical testing domains, including compliance automation, financial accuracy, data security, and performance optimization. AI/ML technologies introduce advanced automation, predictive analytics, and (...) anomaly detection, elevating the precision and efficiency of the testing lifecycle. Through continuous learning models and adaptive testing frameworks, AI/ML streamlines legacy system integrations and dynamically scales performance testing. This article establishes the strategic imperative for insurers to integrate AI/ML into software testing frameworks, ensuring a proactive, data-driven approach to risk management and future-proofing their technological ecosystems. (shrink)

The Importance of Urban Planning and Strict Laws on Informal Settlements -/- Introduction -/- Urbanization is a global phenomenon, bringing both opportunities and challenges. Rapid population growth, especially in developing nations, has led to the rise of informal settlements or “squatter areas.” These settlements often lack proper infrastructure, sanitation, and legal recognition, creating social, economic, and environmental issues. Effective urban planning, combined with strict enforcement of land-use laws and inclusive housing policies, is essential to ensuring sustainable and livable cities. This (...) essay explores the importance of urban planning and strict laws against illegal settlements, using successful case studies from Singapore, Brazil, South Korea, the Philippines, and Ethiopia. -/- The Role of Urban Planning in Sustainable Cities -/- Urban planning is the process of designing and regulating the use of land to ensure the orderly development of cities. Proper urban planning provides essential services such as housing, transportation, sanitation, and green spaces, preventing the formation of illegal settlements. -/- Key Aspects of Effective Urban Planning -/- 1. Zoning Regulations – Defining areas for residential, commercial, and industrial use helps prevent uncontrolled development. -/- 2. Infrastructure Development – Roads, drainage, sewage systems, and utilities must be planned in advance to accommodate future growth. -/- 3. Disaster Risk Management – Cities must prevent settlements in flood-prone or hazardous areas to minimize risks to human life. -/- 4. Affordable Housing Programs – Governments should provide legal, affordable alternatives to illegal settlements. -/- Without proper urban planning, cities face overcrowding, pollution, poor sanitation, and increased crime rates. Case studies from different countries demonstrate the effectiveness of strong urban policies in addressing informal settlements. -/- Case Studies: Successful Urban Planning and Settlement Control -/- 1. Singapore: A Model for Integrated Public Housing -/- Singapore transformed from a city with severe housing shortages in the 1960s into one of the most well-planned urban environments in the world. The government’s Housing and Development Board (HDB) played a crucial role in developing affordable, high-quality public housing with integrated amenities such as schools, parks, and public transportation. -/- Key Strategies: ✔ Strict zoning laws prevented unregulated settlements. ✔ Homeownership was promoted through subsidized housing loans. ✔ Government-planned townships provided complete services. -/- Results: ✔ Over 80% of Singaporeans now live in well-planned public housing. ✔ Illegal settlements have been completely eliminated. -/- Singapore’s success demonstrates how strict land-use policies combined with affordable housing programs can prevent informal settlements. -/- 2. Brazil: Upgrading Informal Settlements Instead of Evictions -/- Rio de Janeiro faced a severe problem with favelas—informal settlements that grew due to rapid urban migration. Instead of mass evictions, the government launched the Favela-Bairro program (1994-2008), improving living conditions rather than displacing people. -/- Key Strategies: ✔ Infrastructure improvements (roads, sanitation, electricity). ✔ Community engagement ensured residents’ needs were met. ✔ Legal property rights were granted to residents. -/- Results: ✔ Over 250,000 residents benefited from improved housing conditions. ✔ Crime and poverty rates declined as favelas were integrated into the formal city. -/- Brazil’s approach shows that slum upgrading can be a viable alternative to forced eviction, improving both human welfare and urban order. -/- 3. South Korea: Urban Renewal in Seoul (Cheonggyecheon Project) -/- Seoul’s Cheonggyecheon River was once covered by illegal settlements and highways. The government removed the informal settlements, revitalizing the area into a public green space. -/- Key Strategies: ✔ Slum clearance and restoration of natural spaces. ✔ Improved public transport (bus rapid transit) reduced congestion. ✔ Business relocation incentives prevented economic disruption. -/- Results: ✔ 35% reduction in air pollution, making Seoul more livable. ✔ Increased property values and economic growth. -/- This case highlights how urban renewal projects can enhance sustainability, public health, and economic opportunities while addressing informal settlements. -/- 4. The Philippines: Housing and Resettlement Programs -/- Metro Manila faces a long-standing issue of informal settlers occupying flood-prone and government-owned areas. The Philippine government introduced various strategies, including in-city relocation, socialized housing, and land clearing operations. -/- Key Strategies: ✔ Balik Probinsya, Bagong Pag-asa (BP2) Program: Encouraged migration from overcrowded cities with financial aid. ✔ Vertical housing solutions: High-rise social housing projects maximized limited land. ✔ Land clearing operations: Removed settlements from hazardous areas. -/- Results: ✔ Some success in decongesting Metro Manila, but rapid urban migration remains a challenge. ✔ Affordable housing remains a priority for sustainable urban development. -/- The Philippines’ experience shows that a combination of enforcement and social programs is necessary to manage informal settlements effectively. -/- 5. Ethiopia: Large-Scale Public Housing (Addis Ababa’s Condominium Program) -/- Ethiopia faced a housing crisis, with 70% of Addis Ababa’s population living in informal settlements. The government launched a large-scale condominium housing program to address the issue. -/- Key Strategies: ✔ Government-built high-rise condominiums replaced slums. ✔ Low-interest loans made homeownership possible for low-income families. ✔ Priority was given to families displaced by urban renewal projects. -/- Results: ✔ Significant reduction in slums as many moved into formal housing. ✔ Homeownership increased, improving living conditions. -/- Ethiopia’s approach highlights how government-led mass housing projects can transform urban development. -/- Lessons from Successful Urban Planning -/- 1. Strict Land-Use Laws Prevent Slums from Forming ✔ Clearly defining residential, commercial, and public spaces prevents illegal occupation. -/- 2. Affordable Housing is Essential ✔ Governments must provide low-cost housing as a legal alternative to informal settlements. -/- 3. Upgrading Slums Can Be More Effective Than Evictions ✔ Programs like Favela-Bairro (Brazil) and Ethiopia’s condominium projects show that improving existing settlements works better than forced displacement. -/- 4. Technology Can Help Monitor and Prevent Illegal Settlements ✔ GIS mapping and AI tracking can detect unauthorized land occupation. ✔ E-governance systems can simplify property registration and land-use approvals. -/- 5. Community Engagement is Critical ✔ Urban planning must involve local residents to ensure sustainability and social acceptance. -/- 6. Economic and Livelihood Programs Reduce Informal Settlements ✔ Job creation, microfinance, and small business support help low-income families transition into formal housing. -/- Conclusion -/- Urban planning and strict laws against informal settlements are crucial for creating sustainable, safe, and prosperous cities. Case studies from Singapore, Brazil, South Korea, the Philippines, and Ethiopia demonstrate that a balanced approach—combining strict enforcement, affordable housing, and community-driven solutions—leads to long-term success. Governments worldwide must prioritize sustainable housing, infrastructure development, and urban regulations to ensure that growing populations are accommodated in a way that promotes both human dignity and urban order. -/- By learning from successful models and implementing proactive urban policies, cities can prevent slums, improve living conditions, and build a more sustainable future for all. -/- . (shrink)

Pension service institutions are quickly going digital as they cope with increased service requirements, the demands of regulatory compliance, and challenges posed by cybersecurity. Legacy pension management systems usually have limited scope, are inefficient, and do not provide security on-premise infrastructure (Gartner, 2023). These aspects result in inefficiencies that create delays in processing pensions, an increase in the risk of fraud, and escalated operational costs (Ponemon Institute, 2023). The most critical aspect regarding pension transactions involves the secure, efficient, (...) and scalable service delivery because it entails sensitive financial information; therefore, it becomes very important to governments, financial institutions, and private organizations (Forrester Research, 2022). This research proposes the Azure-based framework aiming to enhance the management of pension service requests focusing on scalability, security, AI-powered automation, and regulatory compliance. The proposed system uses Azure Virtual Machines, Azure Kubernetes Service, and Load Balancers to perform the optimized resource provisioning for high availability. A zero-trust security model has been categorized to protect pension data from cyber threats, reinforced with Azure Active Directory, Key Vault, Multi-Factor Authentication, and the Reserve (ISO 2021). The research also embeds Azure Bot Services and Azure Cognitive Services as an AI-driven anti-fraud detection tool integrated into the system to automate customer service and workflow management within the fraud prevention ecosystem (Accenture, 2023). Automatic rule enforcement and real-time security monitoring could ensure compliance with GDPR, HIPAA, and ISO 27001 (Microsoft, 2023). In the research approach to systematic architectural design, Infrastructure as a Service and Platform as a Service is combined using encryption techniques with the Azure Key Vault and private cloud connectivity with Azure ExpressRoute. AI-based pension request processing along with prescriptive analytics and real-time fraud detection with Azure Machine Learning and Synapse Analytics complete the solution proposed. A performance evaluation framework was developed to assess enhancements in processing time for pension requests and reduction of fraudulent claims as well as scaling of the system during peak loads and compliance adherence under security audits. The empirical evidence gained from real-life business cases shows that pension automation based on Azure reduces the time for pension processing by as much as 80%, drastically improving service efficiency (PwC, 2022). Whereas the AI-based mechanism for the detection of fraud reduces fraudulent claims for pensions by 70% (IBM Cloud Research, 2022), Azure guarantees 99.99% uptime with its highly available configurations. Enhanced compliance monitoring, with a reduction in policy violation incidents by 60% (ISO, 2023), is another feature of the system. Future research will look toward blockchain for transaction management of pension funds, further down in edge computing for quicker processing, and AI for investment advisory systems in pension management, all aimed at optimizing pension services management. This research propagates the cause of digital transformation in pension management through a demonstration of a secure, scalable, and AI-enabled model with further extensibility toward healthcare benefits, insurance claims, and the automation of financial services. (shrink)

AI and the Universal Law of Economic Balance: A Homeostatic Model for Sustainable Prosperity -/- Introduction -/- Modern economies are primarily driven by the profit motive, which, while encouraging innovation and efficiency, often leads to wage stagnation, wealth inequality, and resource exploitation. The imbalance between corporate profits, wages, purchasing power, and market demand has resulted in recurring economic crises, social unrest, and environmental degradation. -/- To resolve these systemic issues, economic policies must align with the universal law of balance in (...) nature, ensuring that financial systems function as self-regulating ecosystems rather than unstable, profit-driven markets. Achieving this balance requires both gradual reform and fundamental restructuring, first at the national level and then integrated into a global economic framework. -/- The key to Implementing and maintaining this balance lies in artificial intelligence (AI), which can analyze economic conditions in real time and adjust wages, prices, taxation, and resource distribution to maintain stability. However, to prevent AI from becoming a tool of economic control for powerful entities, it must be open-source, decentralized, and governed by ethical principles. -/- This essay explores how AI-driven economic balance can replace market-driven instability with a self-regulating, sustainable model that ensures fair wages, stable prices, and equitable wealth distribution. -/- The Problem: Profit Motive and Economic Imbalance -/- The traditional economic system relies on profit margins to sustain businesses. However, when companies focus on maximizing profits, several imbalances emerge: -/- 1. Lower Wages Reduce Purchasing Power -/- When businesses lower costs to remain competitive, wages stagnate. -/- Lower wages mean consumers cannot afford the products they produce. -/- 2. Weaker Demand Forces Businesses to Cut Costs Further -/- If people cannot buy goods, businesses cut jobs and wages further, deepening the problem. -/- Economic growth becomes dependent on debt, leading to financial instability. -/- 3. Wealth Concentration Creates Social and Political Instability -/- Extreme profit accumulation among a small elite leads to economic inequality. -/- Governments either increase taxes (which businesses resist) or cut social services (which leads to public unrest). -/- This cycle of imbalance proves that unregulated profit-seeking is unsustainable. Instead, an economy must be structured to self-regulate, ensuring a balance between wages, prices, profits, and demand. -/- A Homeostatic Economic Model: Balancing Wages, Prices, and Profits -/- A homeostatic economic model ensures that all components of the economy—wages, prices, profit margins, taxation, and demand—adjust dynamically to maintain stability. The following reforms would create this balance: -/- 1. Wage-Price Equilibrium -/- Wages must be indexed to productivity and inflation, ensuring purchasing power remains stable. -/- Profit-sharing incentives should be standardized, allowing workers to benefit from company success. -/- 2. Profit Regulation Without Killing Innovation -/- Essential industries (e.g., healthcare, food, energy) should have profit caps to prevent price exploitation. -/- Businesses that reinvest in worker wages, technology, or sustainability should receive tax breaks. -/- 3. Market Demand and Supply Stability -/- Governments and businesses must collaborate to prevent artificial scarcity and price manipulation. -/- Tax policies should support lower-income groups, ensuring their purchasing power remains intact. -/- 4. Dynamic Feedback Mechanism for Economic Stability -/- Economic decisions must be based on real-time data, avoiding speculation-based policies. -/- Policies should be adjustable based on changes in market conditions, preventing booms and busts. -/- These policies require both national reforms and global cooperation, ensuring that no single country or corporation can disrupt the balance for personal gain. -/- AI as the Key to Homeostatic Economic Balance -/- Maintaining economic balance in real time is too complex for human policymakers alone. This is where artificial intelligence (AI) can play a critical role in: -/- 1. Real-Time Wage and Price Adjustments -/- AI can analyze inflation, productivity, and cost of living to dynamically adjust wages and prices. -/- 2. Profit Optimization Without Exploitation -/- AI can track corporate profits and suggest profit-reinvestment policies that benefit workers and society. -/- 3. Smart Taxation and Wealth Redistribution -/- AI-driven progressive taxation models ensure fair wealth distribution while preventing economic stagnation. -/- 4. Market Demand and Supply Optimization -/- AI can predict consumer demand shifts and help businesses adjust production to prevent shortages or oversupply. -/- 5. Global Trade and Resource Management -/- AI can analyze trade patterns to ensure fair pricing and sustainable resource allocation worldwide. -/- 6. Public Awareness and Education -/- AI can identify economic misconceptions and suggest educational initiatives to promote financial literacy. -/- For AI to function effectively in this role, it must operate under ethical and decentralized governance to serve humanity rather than corporate or political interests. -/- Ensuring AI Remains Open-Source and Decentralized -/- To prevent AI from being misused as a tool of economic control, its development and governance must follow these principles: -/- 1. Open-Source AI for Economic Balance -/- AI models should be transparent and publicly auditable to prevent hidden biases. -/- Developers from multiple disciplines should contribute to ensure fairness and accuracy. -/- 2. Decentralized Governance Model -/- AI should be managed through global economic councils, not a single government or corporation. -/- Blockchain technology can ensure transparency in AI-driven economic decisions. -/- 3. Ethical Safeguards Against Manipulation -/- AI decisions should prioritize sustainability and human well-being over profit. -/- Economic policies should be auditable in real-time by independent researchers and civil organizations. -/- Failsafe mechanisms must prevent AI from implementing harmful policies due to data misinterpretation. -/- By ensuring AI-driven economic balance is open-source, decentralized, and ethically governed, it can create a self-correcting system that prevents economic crises, stabilizes wealth distribution, and ensures long-term prosperity. -/- Implementation Strategy: Gradual Reform Leading to Systemic Change -/- Since economic transition cannot happen overnight, a phased approach is necessary: -/- Phase 1: National-Level Reforms -/- 1. Implement wage-price indexing and profit-sharing policies. -/- 2. Reduce corporate taxes for businesses that reinvest in workers and sustainability. -/- 3. Introduce regulated price stabilization for essential goods. -/- Phase 2: Global Economic Integration -/- 1. Establish international economic councils to guide balance-driven policies. -/- 2. Reform global trade agreements to prioritize fair wages and sustainability. -/- 3. Create a universal economic sustainability index to track progress. -/- Phase 3: AI-Governed Dynamic Economic System -/- 1. Develop real-time AI monitoring for wage-price adjustments. -/- 2. Implement AI-driven smart taxation to prevent wealth inequality. -/- 3. Ensure AI operates under decentralized, transparent governance. -/- Conclusion: The Future of an AI-Driven Balanced Economy -/- By integrating AI with economic policy, we can create a self-regulating economic system that follows the universal law of balance, preventing both extreme poverty and extreme wealth accumulation. This homeostatic economic model ensures that profits, wages, prices, and demand remain in equilibrium, fostering sustainable prosperity for all. -/- . (shrink)

For computer simulation models to usefully inform climate risk management, uncertainties in model projections must be explored and characterized. Because doing so requires running the model many times over, and because computing resources are finite, uncertainty assessment is more feasible using models that demand less computer processor time. Such models are generally simpler in the sense of being more idealized, or less realistic. So modelers face a trade-off between realism and uncertainty quantification. Seeing this trade-off for the important (...) epistemic issue that it is requires a shift in perspective from the established simplicity literature in philosophy of science. (shrink)

The article investigates the main characteristics of the financial stability of Ukrainian banks, their risk profile, structure of assets, liabilities, income, expenses based on the monthly reporting data for 2004-2020 (number of observations – 3 813). The Kohonen self-organizing map (SOM) toolkit is used to form homogeneous groups of banks based on a large number of financial indicators. The selected toolkit provides a convenient visualization of the results. Each bank occupies a specific place on the SOM. The close location (...) of banks on the map indicates that these banks have many common characteristics. This study is called the method of structural and functional groups of banks. The study formed stable groups of banks with the same characteristics of business models and risk profile. The formation of consecutive maps for each reporting period allows to obtain the characteristics of each bank separately and the banking system as a whole. The trajectory of an individual bank’s activity during the observation period characterizes the development of its business strategy. The migration of a large number of banks between groups reflects the objective changes in the conditions of banking. Increasing groups of high-risk banks indicate systemic problems. The results show that after a significant reduction in the banking system of Ukraine in 2014-2016, the business models of banks have changed significantly. The resource base relies on unstable sources of current funds with no set term of use. In the assets of banks, a significant portion is invested in government securities – government bonds. Bank loan portfolios have declined and have a higher proportion of non-performing assets (NPL). Many banks have increased currency risk. Concerns are raised about the state of large state-owned banks that hold a separate high-risk group. Thus, the conducted research allows to distinguish groups of banks with specific characteristics of business models and to observe changes of risk profile inherent to these groups. For each structural-functional group, changes in the values of financial indicators are investigated and migration between groups is studied. The proposed methodology is useful for studying both macro and macro levels. (shrink)

The COVID-19 pandemic health protocols have adversely impacted the economic profit and business operations of micro, small, and medium enterprises (MSMEs). This study aimed to evaluate the business strategies employed by MSMEs as they are facing the public health crisis in Bato, Leyte, Philippines. A random sample of 200 MSMEs were surveyed using a structured questionnaire. Some descriptive statistics and Chi-square test for independence were used to summarize and determine the relationship among variables, respectively. Results showed that dominantly (...) more of the MSMEs are operated by owner-managers during the pandemic. On average, most (97.5%) of the enterprise operating are micro and operates for about 3 years. About 63.5% of the MSMEs during the pandemic has adopted a new strategies to cope with COVID-19’s negative impact and most of them are micro in nature. The major business strategies adopted to survive the adverse impact of the pandemic are as follows: following health protocols (50%), finding suppliers in nearby towns (33.8%), seeking alternative sources (26%), increasing prices of items sold (24.5%), and local outsourcing (22.5%), among others. It is concluded that age is a significant factor in implementing business strategies (p-value<0.019). This implies that owner-managers with higher age (average is 40 years old) are more likely to adopt business strategies. Moreover, as they are experiencing vulnerability to the pandemic such as economic profits being significantly reduced, then they are more likely to implement strategies (p-value<0.001). Short and long term plans are considered in order to survive and sustain its business operations. Hence, the study recommends that the government should help and enhance the capability of enterprises in managing risk as well as ensuring MSME’s continuity amidst the pandemic. (shrink)