Risk Management Strategies and Investment Behaviors are considered important factors in the investing activities of the retail investors. This study seeks to determine the relationship between Risk Management Strategies and Investment Behavior of Generation Z retail investors. The study is a correlational research and purposive sampling was used to select the respondents for this study. Cochran’s formula was utilized to determine the total sample size or total number of respondents. Spearman’s Rank-Order Correlation was employed to assess (...) the significant relationship of Risk Management Strategies and Investment Behaviors. Based on the results, it showed that risk management strategies have a significant relationship with one or more of the investment behaviors. Risk avoidance has a significant relationship with confirmation bias. Risk reduction has a significant relationship with all of the investment behaviors such as overconfidence, loss-aversion, recency bias, and confirmation bias. Risk transfer shows a significant relationship with only loss-aversion and confirmation bias. And lastly, risk acceptance also has a significant relationship with all of the investment behaviors. This study recommends exploring other types of behavioral biases under cognitive bias and emotional bias to determine their correlation with risk management strategies. Also, broadening the sample size, demographic scope, and geographic scope of the study can improve the generalizability of the study and provide a more comprehensive understanding of the relationship between investment behavior and risk management strategies. The researchers also recommend to utilize interviews and focus group discussions to gain an in-depth understanding of the underlying values and attitudes concerning investment behavior. (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)

This very short paper highlights some of my recent and forthcoming work on “good epistemic practices” in the financial services industry. It identifies some epistemic dimensions of risk management in banking and illustrates how managing for good epistemic practices might be helpful.

Despite small and medium enterprises (SMEs) being numerically predominant and the most vulnerable role players in the economy of many countries, little research has been conducted on risk management and sustainability of SMEs operating in the Fast Moving Consumer Goods (FMCG) sector of South Africa. This study fills this knowledge gap by investigating the extent to which risk management processes of SMEs operating in the FMCG sector of South Africa incorporate a robust analysis of sustainability factors. (...) We achieve this by distributing questionnaires to a sample of 320 FMCG SMEs in the Cape Metropolitan area. Qualitative data were gathered by interviewing two risk experts to validate the quantitative data gathered through a survey questionnaire. The results show that the risk management processes of FMCG SMEs do not incorporate a robust analysis of the components of sustainability, negatively affecting their survival. Apart from filling the knowledge gap, the study has also significant implications for FMCG SME owner-managers and policymakers while revealing future research avenues. (shrink)

Data preparation, feature engineering, model training, and performance evaluation are all part of the study methodology. To ensure reliable and broadly applicable models, we utilize optimization techniques like Grid Search and Genetic Algorithms to precisely adjust model parameters. Features including age, blood pressure, cholesterol levels, and lifestyle choices are employed as inputs for the machine learning models in the dataset, which consists of patient medical information. The predictive capacity of the model is evaluated using evaluation measures, such as accuracy, precision, (...) recall, F1-score, and the area under the ROC curve (AUC-ROC). Our findings show that improved machine learning models perform better than conventional methods, offering trustworthy forecasts that can help medical practitioners with early diagnosis and individualized treatment planning. (shrink)

In this chapter, we will argue that the very concept of risk management must be called into question. The argument will take the form that the use of the phrase ‘risk management’ operates to cover over the ethical dimensions of what is at the bottom of the problem, namely, risky decision making. Risky decision making takes place whenever and wherever decisions are taken by those whose lives are not immediately threatened by the situation in which the (...) risk to other people’s lives is created by their decision. The concept of risk management implies that risk is already there, not created by the decision, but lies already inherent in the situation that the decision sets into motion. The risk that exists in the objective situation simply needs to be “managed”. By changing the semantics of ‘risk management’ to ‘risk taking’ or ‘risky decision making’, the ethics of responsibility for risking other people’s lives will come into focus. The argument of the chapter is that by heightening the ethical sensitivity of decision makers, these decision makers will be less likely to make decisions that will cause harm and/or death to those who are the principal actors in the situation created by the decision. (shrink)

Uncertainty, insufficient information or information of poor quality, limited cognitive capacity and time, along with value conflicts and ethical considerations, are all aspects thatmake risk managementand riskcommunication difficult. This paper provides a review of different risk concepts and describes how these influence risk management, communication and planning in relation to forest ecosystem services. Based on the review and results of empirical studies, we suggest that personal assessment of risk is decisive in the management of (...) forest ecosystem services. The results are used together with a reviewof different principles of the distribution of risk to propose an approach to risk communication that is effective aswell as ethically sound. Knowledge of heuristics and mutual information on both beliefs and desires are important in the proposed risk communication approach. Such knowledge provides an opportunity for relevant information exchange, so that gaps in personal knowledge maps can be filled in and effective risk communication can be promoted. (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)

The predictive capacity of the model is evaluated using evaluation measures, such as accuracy, precision, recall, F1-score, and the area under the ROC curve (AUC-ROC). Our findings show that improved machine learning models perform better than conventional methods, offering trustworthy forecasts that can help medical practitioners with early diagnosis and individualized treatment planning. In order to achieve even higher predicted accuracy, the study's conclusion discusses the significance of its findings for clinical practice as well as future improvements that might be (...) made, like adding wearable device data in real-time or investigating deep learning techniques. (shrink)

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)

An increasing number of financial services (FS) companies are adopting solutions driven by artificial intelligence (AI) to gain operational efficiencies, derive strategic insights, and improve customer engagement. However, the rate of adoption has been low, in part due to the apprehension around its complexity and self-learning capability, which makes auditability a challenge in a highly regulated industry. There is limited literature on how FS companies can implement the governance and controls specific to AI-driven solutions. AI auditing cannot be performed in (...) a vacuum; the risks are not confined to the algorithm itself, but rather permeates the entire organization. Using the risk of unfairness as an example, this paper will introduce the overarching governance strategy and control framework to address the practical challenges in mitigating risks AI introduces. With regulatory implications and industry use cases, this framework will enable leaders to innovate with confidence. (shrink)

Risk communication has been generally categorized as a warning act, which is performed in order to prevent or minimize risk. On the other side, risk analysis has also underscored the role played by information in reducing uncertainty about risk. In both approaches the safety aspects related to the protection of the right to health are on focus. However, it seems that there are cases where a risk cannot possibly be avoided or uncertainty reduced, this is (...) for instance valid for the declaration of side effects associated with pharmaceutical products or when a decision about drug approval or retirement must be delivered on the available evidence. In these cases, risk communication seems to accomplish other tasks than preventing risk or reducing uncertainty. The present paper analyzes the legal instruments which have been developed in order to control and manage the risks related to drugs – such as the notion of “development risk” or “residual risk” – and relates them to different kinds of uncertainty. These are conceptualized as epistemic, ecological, metric, ethical, and stochastic, depending on their nature. By referring to this taxonomy, different functions of pharmaceutical risk communication are identified and connected with the legal tools of uncertainty management. The purpose is to distinguish the different functions of risk communication and make explicit their different legal nature and implications. (shrink)

In Risk Management, security issues arise from complex relations among objects and agents, their capabilities and vulnerabilities, the events they are involved in, and the value and risk they ensue to the stakeholders at hand. Further, there are patterns involving these relations that crosscut many domains, ranging from information security to public safety. Understanding and forming a shared conceptualization and vocabulary about these notions and their relations is fundamental for modeling the corresponding scenarios, so that proper security (...) countermeasures can be devised. Ontologies are instruments developed to address these conceptual clarification and terminological systematization issues. Over the years, several ontologies have been proposed in Risk Management and Security Engineering. However, as shown in recent literature, they fall short in many respects, including generality and expressivity - the latter impacting on their interoperability with related models. We propose a Reference Ontology for Security Engineering (ROSE) from a Risk Treatment perspective. Our proposal leverages on two existing Reference Ontologies: the Common Ontology of Value and Risk and a Reference Ontology of Prevention, both of which are grounded on the Unified Foundational Ontology (UFO). ROSE is employed for modeling and analysing some cases, in particular providing clarification to the semantically overloaded notion of Security Mechanism. (shrink)

An extended analysis compared to observations shows that modern “globalised” world civilisation has passed through the invisible “complexity threshold”, after which usual “spontaneous”, empirically driven kind of development (“invisible hand” etc.) cannot continue any more without major destructive tendencies. A much deeper, non-simplified understanding of real interaction complexity is necessary in order to cope with such globalised world development problems. Here we introduce the universal definition, fundamental origin, and dynamic equations for a major related quantity of (systemic) risk characterising (...) real complex system development tendencies at any level of dynamics. Practically important conclusions are derived, opening further detailed applications in economy, finance and development practice. (shrink)

The EU Artificial Intelligence Act (AIA) defines four risk categories for AI systems: unacceptable, high, limited, and minimal. However, it lacks a clear methodology for the assessment of these risks in concrete situations. Risks are broadly categorized based on the application areas of AI systems and ambiguous risk factors. This paper suggests a methodology for assessing AI risk magnitudes, focusing on the construction of real-world risk scenarios. To this scope, we propose to integrate the AIA with (...) a framework developed by the Intergovernmental Panel on Climate Change (IPCC) reports and related literature. This approach enables a nuanced analysis of AI risk by exploring the interplay between (a) risk determinants, (b) individual drivers of determinants, and (c) multiple risk types. We further refine the proposed methodology by applying a proportionality test to balance the competing values involved in AI risk assessment. Finally, we present three uses of this approach under the AIA: to implement the Regulation, to assess the significance of risks, and to develop internal risk management systems for AI deployers. (shrink)

Risk assessment is one of the prerequisites for understanding its causes and possible consequences. We base our risk assessment on the principles described in the European standard EN 31000 - Risk Management Process. This standard comprehensively describes the continuous activities that are necessary in managing risks and minimizing their possible adverse effects on the operation of the system under investigation. In this activity, it is necessary to first identify the existing risks, then analyze and evaluate the (...) identified risks. In the analysis of existing risks, it is possible to use both qualitative and quantitative analytical methods, or combine them. We use qualitative methods in cases where we do not have a sufficient amount of input information, these are more subjective. Quantitative methods are more accurate, but also more demanding on input information and time. The choice of a suitable analytical method is a basic prerequisite for knowledge of risks and their evaluation. The values of individual risks obtained in this way are the basis for determining the measures that are ecessary to minimize them, i.e., to adjust them to an acceptable level. The draft measures are always based on the value of the individual components used to calculate the risk number, as well as on the value of the asset , which needs to be protected. Appropriately chosen analytical methods are one of the basic prerequisites for the consistent application of the principles of risk management, as a continuous process aimed at increasing the overall security of the system under study. In the article, the author describes the procedures used in risk assessment, as well as specific analytical methods that can be used in working with risks. The aim of identifying risk factors is to create a list of events that could cause undesirable disruption to ongoing processes. At this stage, we define all the risks that will be subsequently analyzed and evaluated. When identifying, we can use methods such as, e.g. SWOT, PHA (Preliminary Hazard Analysis) or CA (Checklist Analysis). Methods suitable for determining the causes and creating scenarios for the course of a risk event are ETA (Event Tree Analysis) or FTA (Fault Tree Analysis). The basic analysis of the system can be performed using the FMEA method (Failure Mode and Effect Analysis), which provides a numerical risk assessment. By comparison with the numerical value of the risk that we are willing to accept, we obtain 2 groups of risks. Acceptable, which will be given regular attention and unacceptable, which we will focus on in risk management and we will try to minimize its negative affect on the functioning of the system under study. (shrink)

This study investigates the dynamic relationship between knowledge management systems, particularly emphasizing knowledge acquisition and dissemination, and their impact on academic staff's teaching motivation. By employing the Bayesian Mindsponge Framework (BMF), data from 676 academic staff at higher education institutions in Vietnam was analyzed, revealing a complex interplay of factors. Notably, positive associations were found between knowledge acquisition, knowledge dissemination, and teaching motivation. However, the interaction effect of knowledge acquisition and knowledge dissemination appeared to be negatively associated with teaching (...) motivation. This suggests the possible existence of a resource curse of knowledge in improving staff’s teaching motivation. It is recommended that the knowledge systems are refined to reduce complexity and that staff are trained with better knowledge processing methods for reducing resource curse risks. (shrink)

International regulation of autonomous weapon systems (AWS) is increasingly conceived as an exercise in risk management. This requires a shared approach for assessing the risks of AWS. This paper presents a structured approach to risk assessment and regulation for AWS, adapting a qualitative framework inspired by the Intergovernmental Panel on Climate Change (IPCC). It examines the interactions among key risk factors—determinants, drivers, and types—to evaluate the risk magnitude of AWS and establish risk tolerance thresholds (...) through a risk matrix informed by background knowledge of event likelihood and severity. Further, it proposes a methodology to assess community risk appetite, emphasizing that such assessments and resulting tolerance levels should be determined through deliberation in a multistakeholder forum. The paper highlights the complexities of applying risk-based regulations to AWS internationally, particularly the challenge of defining a global community for risk assessment and regulatory legitimization. (shrink)

In “Risk Based Passenger Screening in Aviation Security: Implications and Variants of a New Paradigm”, Sebastian Weydner-Volkmann describes the current paradigm shift from ‘traditional’ forms of screening to ‘risk based passenger screening’ (RBS) in aviation security. This paradigm shift is put in the context of the wider historical development of risk management approaches. Through a discussion of Michel Foucault, Herfried Münkler and Ulrich Beck, Weydner-Volkmann analyses the shortcomings of such approaches in public security policies, which become (...) especially evident in the aviation security context. As he shows, the turn towards methods of RBS can be seen as an attempt to address a trade-off ‘trilemma’ between the effective provision of security, the implied costs for industry and passengers, and the ethical, legal and societal implications of the screening procedures. In order to analyse foreseeable outcomes of embracing RBS, he differentiates three prototypical variants of the new paradigm on the basis of their main referent and rationale. For each variant, he then subsequently assesses the implications for the ‘trilemma’, after having unveiled the criteria of analysis that will necessarily have to be followed within a serious appraisal of RBS methods. (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 world's leading cause of morbidity and death is cardiovascular diseases (CVD), which makes early detection essential for successful treatments. This study investigates how optimization techniques can be used with machine learning (ML) algorithms to forecast cardiovascular illnesses more accurately. ML models can evaluate enormous datasets by utilizing data-driven techniques, finding trends and risk factors that conventional methods can miss. In order to increase prediction accuracy, this study focuses on adopting different machine learning algorithms, including Decision Trees, Random Forest, (...) Support Vector Machines, and Neural Networks, that have been tuned using strategies including hyper parameter selection, crossvalidation, and feature selection. (shrink)

Currently, under the conditions of permanent financial risks that hamper the sustainable economic growth in the financial sector, the development of evaluation and risk management methods both regulated by Basel II and III and others seem to be of special importance. The reputation risk is one of significant risks affecting reliability and credibility of commercial banks. The importance of reputation risk management and the quality of their assessment remain relevant as the probability of decrease in (...) or loss of business reputation influences the financial results and the degree of customers’, partners’ and stakeholders’ confidence. By means of imitating modeling based on Bayesian Networks and the fuzzy data analysis, the article characterizes the mechanism of reputation risk assessment and possible losses evaluation in banks by plotting normal and lognormal distribution functions. Monte-Carlo simulation is used to calculate the probability of losses caused by reputation risks. The degree of standardized histogram similarity is determined on the basis of the fuzzy data analysis applying Hamming distance method. The tree-like hierarchy based on the OWA-operator is used to aggregate the data with Fishburne's coefficients as the convolution scales. The mechanism takes into account the impact of criteria, such as return on equity, goodwill value, the risk assets ratio, the share of the productive assets in net assets, the efficiency ratio of interest bearing liabilities, the risk ratio of credit operations, the funding ratio and reliability index on the business reputation of the bank. The suggested methods and recommendations might be applied to develop the decision-making mechanism targeted at the implementation of reputation risk management system in commercial banks as well as to optimize risk management technologies. (shrink)

Metaphors for describing the introduction, impacts, and management of non-native species are numerous and often quite outspoken. Policy-makers have adopted increasingly disputed metaphorical terms from scientific discourse. We performed a critical analysis of the use of strong metaphors in reporting scientific findings to policy-makers. Our analysis shows that perceptions of harm, invasiveness or nativeness are dynamic and inevitably display multiple narratives in science, policy or management. Improving our awareness of multiple expert and stakeholder narratives that exist in the (...) context of non-native species management, as well as metaphorical alternatives, is critical. (shrink)

From what norms does the ethics of belief derive its oughts, its attributions of virtues and vices, responsibilities and irresponsibilities, its permissioning and censuring? Since my inductive risk account is inspired by pragmatism, and this method understands epistemology as the theory of inquiry, the paper will try to explain what the aims and tasks are for an ethics of belief, or project of guidance, which best fits with this understanding of epistemology. More specifically, this chapter approaches the ethics of (...) belief from a focus on responsible risk management, where doxastic responsibility is understood in terms of the degree of riskiness of agents’ doxastic strategies, a riskiness which is in turn most objectively measured through accordance or violation of inductive norms. Doxastic responsibility is attributable to agents on the basis of how epistemically risky was the process or strategy of inquiry salient in the etiology of their belief or in their maintenance of what one believes or accepts. (shrink)

Rescher's 1983 study of risk analysis marks an important departure from game theory in that philosophical foundations for risk are neither formal nor implicit, But explicitly defined objective properties. Rescher's claim that these foundations are ontological fails, However. His ontology is internally inconsistent. Furthermore, Risk is always interest relative, Making it impossible to remove epistemological considerations entirely from any account of its foundations.

The guide explains the basic concepts of natural, social and evolutionary components and methods of risk management and control of modern biotechnologies stemming from the general theory of human evolution. A a transdisciplinary approach is a feature of the presentation of the material The risk is considered from the point of view of evolutionary anthropology, as a basic element of a stable evolutionary strategy of our biological species and the basis of a combination of natural-scientific and humanitarian (...) forms of presentation and interpretation of the material. CONTENT BIOSAFETY AND BIOETHICS IN BIOTECHNOLOGY (Introduction). Part 1. BIOTECHNOLOGY AS A FACTOR OF EVOLUTION AND A SOURCE OF TECHNOGENIC RISK. Chapter 1. GENERAL THEORY OF TECHNOLOGICAL RISK. Chapter 2. RISK AS AN ATTRIBUTE OF STABLE HUMAN EVOLUTIONARY STRATEGY. Chapter 3. BIOTECHNOLOGY AS A SOURCE OF BIORISKS Chapter 4. COMPONENTS OF THE "BIOLOGICAL FACTOR" OF RISK. Chapter 5. BIOLOGICAL WEAPONS and BIOTERRORISM. Part 2. BIOLOGICAL, SOCIAL AND EVOLUTIONARY COMPONENTS OF THE RISK OF MODERN BIOTECHNOLOGIES Chapter 6. RISK MANAGEMENT DURING BIOTECHNOLOGICAL RESEARCH.. Chapter 7. BIOTECHNOLOGY AS A SOURCE OF SOCIAL INSTABILITY. Chapter 8. BIOTECHNOLOGY AS A SOURCE OF CIVILIZATIONAL RISK. -/- . (shrink)

The adoption of AI in the health sector has its share of benefits and harms to various stakeholder groups and entities. There are critical risks involved in using AI systems in the health domain; risks that can have severe, irreversible, and life-changing impacts on people’s lives. With the development of innovative AI-based applications in the medical and healthcare sectors, new types of risks emerge. To benefit from novel AI applications in this domain, the risks need to be managed in order (...) to protect the fundamental interests and rights of those affected. This will increase the level to which these systems become ethically acceptable, legally permissible, and socially sustainable. In this paper, we first discuss the necessity of AI risk management in the health domain from the ethical, legal, and societal perspectives. We then present a taxonomy of risks associated with the use of AI systems in the health domain called HART. HART mirrors the risks of a variety of different real-world incidents caused by use of AI in the health sector. Lastly, we discuss the implications of the taxonomy for different stakeholder groups and further research. (shrink)

This research tackled the challenges public secondary schools in Sagbayan District, Bohol, faced regarding records management. The study employed a mixed research design, combining both descriptive-qualitative and descriptive- quantitative methods. The qualitative phase involved conducting in-depth interviews and focus group discussions with relevant stakeholders involved in records management. On the other hand, the quantitative phase utilized survey questionnaires to gather data from relevant stakeholders to determine the acceptability of the proposed MIS among end-users. The first phase findings revealed (...) various challenges in records management faced by the schools, such as inefficient manual record-keeping systems, difficulties in data retrieval, and the risk of data loss due to inadequate backup procedures. These challenges highlighted the need for a comprehensive, technology-driven solution to streamline records management processes and ensure data security. The evaluation results in the second phase showed that the developed Management Information System (MIS) was well-accepted among the end users. The absence of any significant difference in the level of acceptability among the participants further validated the system's suitability for addressing their specific needs. The successful implementation of the MIS proved to be an effective solution to the records management challenges faced by the public secondary schools in Sagbayan District, Bohol. (shrink)

Biobanks act as the custodians for the access to and responsible use of human biological samples and related data that have been generously donated by individuals to serve the public interest and scientific advances in the health research realm. Risk assessment has become a daily practice for biobanks and has been discussed from different perspectives. This paper aims to provide a literature review on risk assessment in order to put together a comprehensive typology of diverse risks biobanks could (...) potentially face. Methodologically set as a typology, the conceptual approach used in this paper is based on the interdisciplinary analysis of scientific literature, the relevant ethical and legal instruments and practices in biobanking to identify how risks are assessed, considered and mitigated. Through an interdisciplinary mapping exercise, we have produced a typology of potential risks in biobanking, taking into consideration the perspectives of different stakeholders, such as institutional actors and publics, including participants and representative organizations. With this approach, we have identified the following risk types: economic, infrastructural, institutional, research community risks and participant’s risks. The paper concludes by highlighting the necessity of an adaptive risk governance as an integral part of good governance in biobanking. In this regard, it contributes to sustainability in biobanking by assisting in the design of relevant risk management practices, where they are not already in place or require an update. The typology is intended to be useful from the early stages of establishing such a complex and multileveled biomedical infrastructure as well as to provide a catalogue of risks for improving the risk management practices already in place. (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)

Democracy in its currently dominant liberal form has proven supportive of unprecedented human flourishing. However, it also appears increasingly plagued by political polarization, strained to cope with the digitalization of the political discourse, and threatened by authoritarian backlash. A growing sense of the anthropic risks—with runaway climate change as the leading example—thus often elicits concern regarding democracy’s capability of mitigating them. Apparently, lacking a sufficient degree of the citizens’ consensus on the priority issues of the day, it can find itself (...) unable to muster the resolve and resources necessary to alter its “business as usual” path even where disasters loom ever larger in its track. Against these concerns, I argue that democracy’s potential remains far from depleted. While political irrationality needs to be considered a major obstacle to successfully managing the anthropic risks, many existing reform proposals appear capable of reining it in. My main suggestion is to seek ways to facilitate a speedier and more effective exploration of the landscape of the possible democratic mechanisms of collective choice. A virtual platform to support such an exploration—which I call ‘democracy’s digital playground’—may allow us to find innovative ways of managing anthropic risks without compromising our commitment to democratic values. (shrink)

This study investigated the prevalence, perceived risk factors and effects of enuresis among school-age children in Nsukka local government area. The study adopted a descriptive cross-sectional survey research design with a population of 7,794 Junior Secondary Students within the age range of 9-12years in the study area. Multi-stage sampling technique was employed to select a sample of 820 students from 10 selected schools. A structured questionnaire was the instrument for data collection. The reliability of the questionnaire was 0.86 Cronbach’s (...) alpha showing a good internal consistency of the test items. Data were analysed using frequencies, percentages means and standard deviations. Findings showed that prevalence of bedwetting among the respondents was 17.8%, 14.6% among males and 24.4% among females. The prevalence of primary bedwetting was 12.7%, 5.0% experienced secondary bedwetting, 15.0% experienced nocturnal enuresis and 2.6% experienced diurnal bedwetting. Dreaming of urinating, drinking a lot of fluid before bed and cold weather were some of the risk factors of bedwetting identified by the respondents. Some of the effects of bedwetting identified by the respondents were that bedwetting children often smell bad and bedwetting makes children feel sad. Preventive, curative, hygiene management and reinforcement strategies for enuresis were identified by the respondents. It was concluded that bedwetting negatively affects children in such ways as making them have an offensive smell, sad feelings, mockery and loss of respect from friends. School authorities should therefore make out time within the school year, to create awareness and teach school children about enuresis to reduce the stigma and embarrassment they face. (shrink)

One challenge to the rationality of religious commitment has it that faith is unreasonable because it involves believing on insufficient evidence. However, this challenge and influential attempts to reply depend on assumptions about what it is to have faith that are open to question. I distinguish between three conceptions of faith each of which can claim some plausible grounding in the Judaeo-Christian tradition. Questions about the rationality or justification of religious commitment and the extent of compatibility with doubt look different (...) on accounts of faith in which trust or hope, rather than belief, are the primary basis for the commitments. On such accounts, while the person of faith has a stake in the truth of the content, practical as well as epistemic considerations can legitimately figure in normative appraisals. Trust and hope can be appropriate in situations of recognized risk, need not involve self-deception, and are compatible with the idea that one's purely epistemic opinions should be responsive only to evidence.Send article to KindleTo send this article to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle. Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply. Find out more about the Kindle Personal Document Service.Authentic faith and acknowledged risk: dissolving the problem of faith and reasonVolume 49, Issue 1DANIEL J. MCKAUGHAN DOI: https://doi.org/10.1017/S0034412512000200Your Kindle email address Please provide your Kindle [email protected]@kindle.com Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Send article to Dropbox To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to Dropbox. Authentic faith and acknowledged risk: dissolving the problem of faith and reasonVolume 49, Issue 1DANIEL J. MCKAUGHAN DOI: https://doi.org/10.1017/S0034412512000200Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Send article to Google Drive To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to Google Drive. Authentic faith and acknowledged risk: dissolving the problem of faith and reasonVolume 49, Issue 1DANIEL J. MCKAUGHAN DOI: https://doi.org/10.1017/S0034412512000200Available formats PDF Please select a format to send. By using this service, you agree that you will only keep articles for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services. Please confirm that you accept the terms of use. Cancel Send ×Export citation Request permission. (shrink)

Non-epistemic values pervade climate modelling, as is now well documented and widely discussed in the philosophy of climate science. Recently, Parker and Winsberg have drawn attention to what can be termed “epistemic inequality”: this is the risk that climate models might more accurately represent the future climates of the geographical regions prioritised by the values of the modellers. In this paper, we promote value management as a way of overcoming epistemic inequality. We argue that value management can (...) be seriously considered as soon as the value-free ideal and inductive risk arguments commonly used to frame the discussions of value influence in climate science are replaced by alternative social accounts of objectivity. We consider objectivity in Longino's sense as well as strong objectivity in Harding's sense to be relevant options here, because they offer concrete proposals that can guide scientific practice in evaluating and designing so-called multi-model ensembles and, in fine, improve their capacity to quantify and express uncertainty in climate projections. (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)

This volume bridges contemporary philosophical conceptions of risk and responsibility and offers an extensive examination of the topic. It shows that risk and responsibility combine in ways that give rise to new philosophical questions and problems. Philosophical interest in the relationship between risk and responsibility continues to rise, due in no small part due to environmental crises, emerging technologies, legal developments, and new medical advances. Despite such interest, scholars are just now working out how to conceive of (...) the links between risk and responsibility, the implications that risks may have to conceptions of responsibility (and vice versa), as well as how such theorizing might play out in applied cases. With contributions from leading scholars, this volume brings together new work examining the interplay between risk and responsibility, exploring its varied philosophical aspects and applications to contemporary issues in law, bioethics, technology, and environmental ethics. Risk and Responsibility in Context will be of interest to philosophers working in ethics, bioethics, philosophy of law, and philosophy of technology, as well as scholars and practitioners in law, health and science management, public policy, and environmental studies. (shrink)

This review delves into the influence of big data analytics on project management effectiveness and project success rates. By examining applications, accomplishments, hindrances, and emerging developments in the context of big data analytics and project management, this review provides insights into its transformative potential. Results indicate that big data analytics fosters improved project performance, more robust risk management, and heightened adaptability. However, challenges related to data quality, privacy, and project manager training remain to be addressed. This (...) review underscores the value of data-driven decision-making for both practitioners and researchers in the project management field. (shrink)

In this paper I try to clarify and systematize some contributions with regard to (a) the main aspects of crisis situations that impose the management of emotions, (b) the correlation of certain social emotions with the factors that trigger them and their related tendencies to act, (c) the essential elements of emotional experience, (d) the differentiation of appropriate emotional reactions to a crisis situation from the inappropriate ones; (e) the in-stances in which emotions can be managed, and (f) the (...) balance between rationality and affectivity in the organization’s response to the risks or crises which it faces. By means of logical correlations I arrived at the following conclusions. Regardless of the social sphere in which the crisis makes itself felt, regardless of its type, phase or damage control strategies, the rational control of emotions contributes significantly to overcoming the crisis situation. Beyond the specificities, crises involve digressions form the norms of rightful conduct, breaches of the social norms that support institutions (as spontaneous order structures) and maladaptive reactions to reality. They can be corrected through a good management of emotions, with the caveat that we are not dealing with a problem of knowledge, but rather with one of will and character. All people can identify the adaptive emotional responses to a crisis situation, but only a few prefer them and train assiduously to use them. (shrink)

Ectopic pregnancy is defined as the fertilized ovum implants in a location outside the endometrial cavity, remains to be an important cause of maternal morbidity and mortality worldwide and is a health problem with incidence ranges between 0.25% and 2% of all pregnancies. In our study, in Izmir Katip Celebi University Ataturk Training and Research Hospital, Department of Obstetrics and Gynecology from 2011 to 2013, 96 cases with diagnosis of ectopic pregnancy managed by the adapted RCOG’s Guide were analyzed retrospectively. (...) The data were analyzed as follows: age, the history of operation, smoking, the presence of intrauterine device, blood groups, hemoglobin, platelets, values of B-hCG, the diagnostic interval, intra-abdominal free fluid and/or acute abdomen, the method of treatment and the success of treatment. (shrink)

The ongoing evolution of advanced AI systems will have profound, enduring, and significant impacts on human existence that must not be overlooked. These impacts range from empowering humanity to achieve unprecedented transcendence to potentially causing catastrophic threats to our existence. To proactively and preventively mitigate these potential threats, it is crucial to establish clear redlines to prevent AI-induced existential risks by constraining and regulating advanced AI and their related AI actors. This paper explores different concepts of AI existential risk, (...) connects the enactment of AI red lines to broader efforts addressing AI's impacts, constructs a theoretical framework for analyzing the direct impacts of AI existential risk, and upon that proposes a set of exemplary AI red lines. By contemplating AI existential risks and formulating these red lines, we aim to foster a deeper and systematic understanding of the potential dangers associated with advanced AI and the importance of proactive risk management. We hope this work will contribute to the strengthening and refinement of a comprehensive AI redline system for preventing humanity from AI existential risks. (shrink)

The authors of the book have come to the conclusion that it is necessary to effectively use modern approaches the management of innovative development the economic entities in order to increase the efficiency of activity, to ensure competitiveness, to intensify innovation activity. Basic research focuses on assessing the competition of economic entities, internal control in organizations, analysis of credit risk, diagnostics of sources of funding for innovation, assessment of social innovation and human development factors. The research results have (...) been implemented in the different models of reengineering business process, development of alternative agriculture, the digital economy, knowledge management. The results of the study can be used in decision-making at the level the economic entities in different areas of activity and organizational-legal forms of ownership, ministries and departments that promote of development the economic entities on an innovative basis. The results can also be used by students and young scientists in modern concepts and mechanisms for management of innovative development the economic entities in the context of efficient use the resource potential and improvement of innovation policy. (shrink)

The main thesis of this article is that Western societies risk becoming Balkanized if they confront the superdiversity issue without sound management of intolerance. The Balkanization process has some essential features that allow the use of this term outside the area of origin (namely the Balkan Peninsula). Thus: It always affects a diverse political unit that comprises an inextricable medley of racial, ethnocultural, religious, ideological, or gender identities. It emerges only where neither the hegemony principle nor the confederacy (...) principle can sustain a divided population’s peaceful coexistence. It entails “antagonistic and conflict-oriented relationships resistant to resolution” between the groups or classes dissociated from a diverse political unit. It increases the density of physical and psychological boundaries between the formerly associated parts. It is perpetuated by the great sponsors of the dissociated parts. Any diverse political unit can enter a process of Balkanization, regardless of its degree of culture and civilization. Balkanization does not have a fatal course. Just as there is no society immune to Balkanization, there is no diverse society doomed to Balkanization. Balkanization can be prevented, checked, stopped, or reversed, depending on society members’ individual and collective actions. To survive, the superdiverse liberal democracies from the Euro-Atlantic area need an agonistic public sphere, where actionable truths emerge from a genuine clash of educated opinions. If intolerance management is the first step in preventing the Balkanization of a superdiverse political unit, promoting social and political tolerance towards all people who express educated opinions is the best starting point to genuine tolerance. The return to Enlightenment rationalism values that underpinned our freedom of thought and expression will help us meet the challenges inherent in current and future superdiversity. By feeding enlightened conversations and debates with genuine, educated opinions, people learn to have tolerance for “unpleasant” pieces of knowledge. Then, they spread general tolerance – as a by-product – across the entire society. (shrink)

Paper was presented at the 29th Annual Symposium on Economic Crime in Cambridge, England. -/- Regardless of our concern for privacy, real-time criminal activity information is being disseminated throughout cyberspace by the private sector. This information is growing very quickly while being archived for search and retrieval on a long term basis. This is inevitable and could not, nor should not, be stopped. -/- Law enforcement and government policy makers should consider the risk of sharing with the risk (...) of not sharing and allow the private sector to participate in the management of this risk in an informed way. The private sector has the right to be as well informed as law enforcement – they often have as much, if not more, to lose. -/- Law enforcement should also not be afraid of true partnership with the private sector - meet with privacy experts within government and reconsider the level of secrecy attached to the criminal records and crime reports that have been carefully guarded for all of these years. Whenever and wherever possible, secrecy levels should be abandoned, particularly when one can make a reasonable argument for a 'duty to warn'. There is an opportunity to use valid substantiated information to clarify, correct and override some of the misinformation that is available openly on the Internet. -/- Fully transparent reported crime along with fully transparent end-results (i.e. criminal records) could be a wondrous thing for the safety of our citizens. It is time that the private sector received more on their side of the private sector law enforcement partnerships. This would undoubtedly go a long ways in preventing much crime before it happens as more and more business people and safety-minded members of each community become better informed about who they are dealing with. The risks associated with being uninformed are very high. (shrink)

Those who are risk averse with respect to money, and thus turn down some gambles with positive monetary expectations, are nevertheless often willing to accept bundles involving multiple such gambles. Therefore, it might seem that such people should become more willing to accept a risky but favourable gamble if they put it in context with the collection of gambles that they predict they will be faced with in the future. However, it turns out that when a risk averse (...) person adopts the long-term perspective, she faces a decision-problem that can be analysed as a noncooperative game between different “time-slices” of herself, where it is in the interest of each time-slice (given its prediction about other slices) to turn down the gamble with which it is faced. Hence, even if a risk averse but rational person manages to take the long-term perspective, she will, in the absence of what Hardin called “mutual coercion”, end up in a situation analogous to the “tragedy of the commons”. (shrink)

Artificial Intelligence (AI) is rapidly transforming Human Resource Management (HRM) by enhancing the efficiency and effectiveness of key functions such as recruitment, performance management, and employee engagement. This paper explores the integration of AI technologies in HRM, focusing on their potential to revolutionize these critical areas. In recruitment, AI-driven tools streamline candidate sourcing, screening, and selection processes, leading to more accurate and unbiased hiring decisions. Performance management is similarly transformed, with AI enabling continuous, data-driven feedback and personalized (...) development plans that align with organizational goals. Furthermore, AI facilitates more engaging and tailored employee experiences by leveraging predictive analytics to anticipate and address employee needs. Despite these advancements, the paper also addresses the ethical considerations and challenges associated with AI in HRM, including data privacy concerns and the risk of over-reliance on automated systems. Through a comprehensive analysis, this paper aims to provide insights into how AI can be strategically leveraged to optimize HRM practices, while highlighting the need for a balanced approach that integrates human judgment with technological innovation. (shrink)

Antimicrobial resistance is a growing public health concern and is associated with the over- or inappropriate use of antimicrobials in both humans and agriculture. While there has been reco- gnition of this problem on the part of agricultural and public health authorities, there has none- theless been significant difficulty in translating policy recommendations into practical guidelines. In this paper, we examine the process of public health policy development in Quebec agriculture, with a focus on the case of pork production and (...) the role of food animal veterinarians in policy making. We argue that a tendency to employ strictly techno-scientific risk analyses of antimicro- bial use ignores the fundamental social, economic and political realities of key stakeholders and so limits the applicability of policy recommendations developed by government advisory groups. In particular, we suggest that veterinarians’ personal and professional interests, and their ethi- cal norms of practice, are key factors to both the problem of and the solution to the current over-reliance on antimicrobials in food production. (shrink)

Some types of solar radiation management (SRM) research are ethically problematic because they expose persons, animals, and ecosystems to significant risks. In our earlier work, we argued for ethical norms for SRM research based on norms for biomedical research. Biomedical researchers may not conduct research on persons without their consent, but universal consent is impractical for SRM research. We argue that instead of requiring universal consent, ethical norms for SRM research require only political legitimacy in decision-making about global SRM (...) trials. Using Allen Buchanan & Robert Keohane's model of global political legitimacy, we examine several existing global institutions as possible analogues for a politically legitimate SRM decision-making body. (shrink)

Drug regulation is fraught with inductive risk. Regulators must make a prediction about whether or not an experimental pharmaceutical will be effective and relatively safe when used by typical patients, and such predictions are based on a complex, indeterminate, and incomplete evidential basis. Such inductive risk has important practical consequences. If regulators reject an experimental drug when it in fact has a favourable benefit/harm profile, then a valuable intervention is denied to the public and a company’s material interests (...) are needlessly thwarted. Conversely, if regulators approve an experimental drug when it in fact has an unfavourable benefit/harm profile, then resources are wasted, people are needlessly harmed, and other potentially more effective treatments are underutilized. Given that such regulatory decisions have these practical consequences, non-epistemic values about the relative importance of these consequences impact the way such regulatory decisions are made (similar to the analysis of laboratory studies on the toxic effects of dioxins presented in Douglas [2000]). To balance the competing demands of the pertinent non-epistemic values, regulators must perform what I call an “inductive risk calculus.” At least in the American context this inductive risk calculus is not well-managed. (shrink)

In this article, I show why it is necessary to abolish the use of predictive algorithms in the US criminal justice system at sentencing. After presenting the functioning of these algorithms in their context of emergence, I offer three arguments to demonstrate why their abolition is imperative. First, I show that sentencing based on predictive algorithms induces a process of rewriting the temporality of the judged individual, flattening their life into a present inescapably doomed by its past. Second, I demonstrate (...) that recursive processes, comprising predictive algorithms and the decisions based on their predictions, systematically suppress outliers and progressively transform reality to match predictions. In my third and final argument, I show that decisions made on the basis of predictive algorithms actively perform a biopolitical understanding of justice as management and modulation of risks. In such a framework, justice becomes a means to maintain a perverse social homeostasis that systematically exposes disenfranchised Black and Brown populations to risk. (shrink)

Attempt of trans-disciplinary analysis of the evolutionary value of bioethics is realized. Currently, there are High Tech schemes for management and control of genetic, socio-cultural and mental evolution of Homo sapiens (NBIC, High Hume, etc.). The biological, socio-cultural and technological factors are included in the fabric of modern theories and technologies of social and political control and manipulation. However, the basic philosophical and ideological systems of modern civilization formed mainly in the 17–18 centuries and are experiencing ever-increasing and destabilizing (...) risk-taking pressure from the scientific theories and technological realities. The sequence of diagnostic signs of a new era once again split into technological and natural sciences’ from one hand, and humanitarian and anthropological sciences’, from other. The natural sciences series corresponds to a system of technological risks be solved using algorithms established safety procedures. The socio-humanitarian series presented anthropological risk. Global bioethics phenomenon is regarded as systemic socio-cultural adaptation for technology-driven human evolution. The conceptual model for meta-structure of stable evolutionary strategy of Homo sapiens (SESH) is proposes. In accordance to model, SESH composed of genetic, socio-cultural and techno-rationalist modules, and global bioethics as a tool to minimize existential evolutionary risk. An existence of objectively descriptive and value-teleological evolutionary trajectory parameters of humanity in the modern technological and civilizational context (1), and the genesis of global bioethics as a system social adaptation to ensure self-identity (2) are postulated. -/- . (shrink)