Market crises amplify fear, disrupting rational decision-making of stock investment. This study examines the relationship between investors’ information priorities—such as intuition, company performance, technical analysis, and other factors—and their fear responses (freeze, flight, and hiding) during market crashes. Using the Bayesian Mindsponge Framework (BMF) to analyze data from 1,526 investors in China and Vietnam, the findings reveal complex dynamics. We found positive associations between investors’ prioritization of social influence and intuition for investment decision-making with being freeze (...) (i.e., not knowing what to do with the owned stock), between prioritization of professionals’ evaluation and intuition with fleeing (i.e. giving up stock investment permanently), and between prioritization of professionals’ evaluation and social influence with hiding (i.e., stopping investing in stock for a while). In contrast, prioritization of companies’ performance metrics (e.g., net profit, debt, etc.) was negatively associated with being freeze, fleeing, and hiding. Meanwhile, prioritization of professionals’ evaluation, technical analysis, and liquidity was negatively associated with being freeze, fleeing, and hiding, respectively. The study highlights the importance of disseminating transparent, accurate information through government and media channels, along with implementing financial education programs, to promote rational investment decisions and reduce fear-driven behaviors. (shrink)

In today’s rapidly evolving business landscape, organizations must continuously adapt to stay competitive. AI-driven human resource (HR) analytics has emerged as a strategic tool to enhance workforce agility and inform decision-making processes. By leveraging advanced algorithms, machine learning models, and predictive analytics, HR departments can transform vast data sets into actionable insights, driving talent management, employee engagement, and overall organizational efficiency. AI’s ability to analyze patterns, forecast trends, and offer data-driven recommendations empowers HR professionals to make proactive decisions (...) in hiring, skill development, performance management, and retention. (shrink)

This study explores the relationship between perceptions of catastrophic events and beliefs about climate change. Using data from the 2023 Life in Transition Survey, the study finds that contrary to conventional wisdom, more accurate knowledge about past catastrophes is associated with lower concern about climate change. The paper proposes that heightened threat sensitivity may underlie both the tendency to overestimate disaster impacts and increased concern about climate change. The findings challenge the assumption that a more informed citizenry necessarily leads (...) to better climate policy decisions. Instead, they suggest that psychological factors, like anxiety and risk perception, play crucial roles in shaping climate attitudes. Illuminating these dynamics can help societies to foster a more nuanced and constructive public dialogue about the urgent challenges facing our planet and our species. (shrink)

With the growing focus on prevention in medicine, studies of how to describe risk have become increasing important. Recently, some researchers have argued against giving patients “comparative risk information,” such as data about whether their baseline risk of developing a particular disease is above or below average. The concern is that giving patients this information will interfere with their consideration of more relevant data, such as the specific chance of getting the disease (the “personal risk”), the risk reduction the treatment (...) provides, and any possible side effects. I explore this view and the theories of rationality that ground it, and I argue instead that comparative risk information can play a positive role in decision-making. The criticism of disclosing this sort of information to patients, I conclude, rests on a mistakenly narrow account of the goals of prevention and the nature of rational choice in medicine. (shrink)

Shared decision-making involves health professionals and patients/clients working together to achieve true person-centred health care. However, this goal is infrequently realized, and most barriers are unknown. Discussion between philosophers, clinicians, and researchers can assist in confronting the epistemic and moral basis of health care, with benefits to all. The aim of this paper is to describe what shared decision-making is, discuss its necessary conditions, and develop a definition that can be used in practice to support excellence (...) in maternity care. Discussion between the authors, with backgrounds in philosophy, clinical maternity care, health care management, and maternity care research, assisted the team to confront established norms in maternity care and challenge the epistemic and moral basis of decision-making for caesarean section. The team concluded that shared decision-making must start in pregnancy and continue throughout labour and birth, with equality in discourse facilitated by the clinician. Clinicians have a duty of care for the adequacy of women's knowledge, which can only be fulfilled when relevant knowledge is offered freely and when personal beliefs and biases that may impinge on decision-making (defeaters) are disclosed. Informed consent is not shared decision-making. Key barriers include existing cultural norms of “the doctor knows best” and “patient acquiescence” that prevent defeaters being acknowledged and discussed and can lead to legal challenges, overuse of medical intervention and, in some areas, obstetric violence. Shared decision-making in maternity care can thus be defined as an enquiry by clinician and expectant woman aimed at deciding upon a course of care or none, which takes the form of a dialogue within which the clinician fulfils their duty of care to the client's knowledge by making available their complete knowledge (based on all types of evidence) and expertise, including an exposition of any relevant and recognized potential defeaters. Research to develop measurement tools is required. (shrink)

Prima facie, we make successful decisions as we act on and intervene in the world day-to-day. Epistemologists are often concerned with whether rationality is involved in such decision-making practices, and, if so, to what degree. Some, particularly in the post-structuralist tradition, argue that successful decision-making occurs via an existential leap into the unknown rather than via any determinant or criterion such as rationality. I call this view radical voluntarism (RV). Proponents of RV include those who subscribe (...) to a view they call Critical Complexity (CC). In this paper, I argue that CC presents a false dichotomy when it conceives of rationality in Cartesian – i.e. ideal and transcendental – terms, and then concludes that RV is the proper alternative. I then outline a pragmatist rationality informed by recent work in psychology on bounded rationality, ecological rationality, and specifically embodied rationality. Such a pragmatist rationality seems to be compatible with the tenets of post-structuralism, and can therefore replace RV in CC. (shrink)

Individuals tend to make judgments or choices conditionally regarding outcomes that occur at different times, and this leads to intertemporal decision-making. While individual intertemporal decision-making was widely investigated, the trend to study group intertemporal decision-making seems to be down-streamed. -/- Lack of evidence in the group intertemporal decision-making process has led a group of Chinese researchers to conduct a short review in this area and eventually suggest adopting a “two-process” approach to study (...) the mechanism of group intertemporal decision-making. The approach employs self-assessment questionnaires, audiovisual recordings, and visual decision-making tools for quantifying the interpersonal interaction processes and information processing in the settings of group intertemporal decision-making. Using this approach, the differences between individual and group intertemporal decision-making mechanisms, in terms of psychological and theoretical mechanisms, may be better distinguished and explained. (shrink)

There is wide consensus among bioethicists about the importance of autonomy when determining whether or not a patient has the right to refuse life-saving treatment (LST). In this context, autonomy has typically been understood in terms of the patient’s ability to make an informed decision. According to the traditional view, decision-making capacity (DMC) is seen as both necessary and sufficient for the right to refuse LST. Recently, this view has been challenged by those who think that (...) considerations of authenticity and putative counterexamples should lead us to revise the traditional account. In this paper, we respond to these revisionist arguments, and we defend the traditional view according to which we have autonomy-based reasons to respect a patient’s decision to refuse LST if and only if she has DMC. (shrink)

Since approval of the EU General Data Protection Regulation (GDPR) in 2016, it has been widely and repeatedly claimed that the GDPR will legally mandate a ‘right to explanation’ of all decisions made by automated or artificially intelligent algorithmic systems. This right to explanation is viewed as an ideal mechanism to enhance the accountability and transparency of automated decision-making. However, there are several reasons to doubt both the legal existence and the feasibility of such a right. In contrast (...) to the right to explanation of specific automated decisions claimed elsewhere, the GDPR only mandates that data subjects receive meaningful, but properly limited, information (Articles 13-15) about the logic involved, as well as the significance and the envisaged consequences of automated decision-making systems, what we term a ‘right to be informed’. Further, the ambiguity and limited scope of the ‘right not to be subject to automated decision-making’ contained in Article 22 (from which the alleged ‘right to explanation’ stems) raises questions over the protection actually afforded to data subjects. These problems show that the GDPR lacks precise language as well as explicit and well-defined rights and safeguards against automated decision-making, and therefore runs the risk of being toothless. We propose a number of legislative and policy steps that, if taken, may improve the transparency and accountability of automated decision-making when the GDPR comes into force in 2018. (shrink)

Algorithm Decision Making (ADM) systems designed to augment or automate human decision-making have the potential to produce better decisions while also freeing up human time and attention for other pursuits. For this potential to be realised, however, algorithmic decisions must be sufficiently aligned with human goals and interests. We take a Principal-Agent (P-A) approach to the questions of ADM alignment and trust. In a broad sense, ADM is beneficial if and only if human principals can trust (...) algorithmic agents to act faithfully on their behalf. This mirrors the challenge of facilitating P-A relationships among humans, but the peculiar nature of human-machine interaction also raises unique issues. The problem of asymmetric information is omnipresent but takes a different form in the context of ADM. Although the decision-making machinery of an algorithmic agent can in principle be laid bare for all to see, the sheer complexity of ADM systems based on deep learning models prevents straightforward monitoring. We draw on literature from economics and political science to argue that the problem of trust in ADM systems should be addressed at the level of institutions. Although the dyadic relationship between human principals and algorithmic agents is our ultimate concern, cooperation at this level must rest against an institutional environment which allows humans to effectively evaluate and choose among algorithmic alternatives. (shrink)

Shared Decision Making (‘SDM’) is one of the most significant developments in Western health care practices in recent years. Whereas traditional models of care operate on the basis of the physician as the primary medical decision maker, SDM requires patients to be supported to consider options in order to achieve informed preferences by mutually sharing the best available evidence. According to its proponents, SDM is the right way to interpret the clinician-patient relationship because it fulfils the (...) ethical imperative of respecting patient autonomy. However, there is no consensus about how decisions in SDM contexts relate to the principle of respect for autonomy. In response, I demonstrate that in order to make decisions about what treatment they will or will not receive, patients will be required to meet different conditions depending on the approach proponents of SDM take to understanding personal autonomy. Due to the fact that different conceptions of autonomy yield different obligations, I argue that if physicians and patients satisfied all the conditions described in standard accounts of SDM, then SDM would undermine patient autonomy. (shrink)

The current study is conducted to examine how investors’ information priorities for investment decision-making influence their fear during the crisis.

Looks into evaluation of information provision probability from different sources, based on use of linguistic variables. Formation of functions appurtenant for its unclear variables provides for adoption of decisions by the decision maker, in conditions of nonprobabilistic equivocation. The development of market relations in Ukraine increases the independence and responsibility of enterprises in justifying and making management decisions that ensure their effective, competitive activities. As a result of the analysis, it is determined that the condition of economic facilities (...) can be described and determined by the decision-maker, in the presence of the necessary information. The confidence of the decision-maker in the information received is different and the decisions made have a correspondingly different level of information risk. It is important to substantiate the procedure for assessing the numerical extent of information risk in decision-making based on the information obtained in conditions of uncertainty. The use of a linguistic variable in the processing of expert data presented in the form of a matrix of binary relations of values of the membership function, which allowed to move to further processing of knowledge to support decision-making in the management of industrial, commercial, financial and other activities. As a mathematical model for estimating the numerical measure of information risk when making decisions based on the information obtained in conditions of non-stochastic uncertainty, a model has been developed to model natural language uncertainties, which differs from existing ones by formalizing knowledge taking into account uncertainty of input information. Making such a clear decision in a fuzzy environment has appropriate values of effectiveness and risk. The paper proposes all the functions and accessories of indicators of both quantitative nature and qualitative nature to bring their values in the field of definition to one scale. Then the indicator of the effectiveness of decision-making will be a measure of the clarity of the cross-section of fuzzy subsets, which correspond to the introduced indicators of information risk. The condition of economic facilities can be described and determined by the decision-maker, if the necessary information is available. Decision-making on thenumerical measure of information risk must be determined by a set of basic indicators, which can be both quantitative and qualitative in nature. Predictive values of indicators should be determined in conditions of nonstochastic uncertainty. In this case, the indicators of a quantitative nature can be determined by fuzzy triangular numbers, which implement a high level of confidence in the subjective judgments of experts. Indicators of qualitative nature should be presented in linguistic variables. The values of the indicators of qualitative nature that are predicted must be considered for all fuzzy variable terms-sets of linguistic variables introduced into consideration. For any fuzzy variable, the introduction to the consideration of a clear set of values as carriers of the α-level of its membership function allows to reduce to a single interpretation of the predicted values of indicators of quantitative and qualitative nature in terms of non-stochastic uncertainty. (shrink)

Advanced AI systems are rapidly making their way into medical research and practice, and, arguably, it is only a matter of time before they will surpass human practitioners in terms of accuracy, reliability, and knowledge. If this is true, practitioners will have a prima facie epistemic and professional obligation to align their medical verdicts with those of advanced AI systems. However, in light of their complexity, these AI systems will often function as black boxes: the details of their contents, (...) calculations, and procedures cannot be meaningfully understood by human practitioners. When AI systems reach this level of complexity, we can also speak of black-box medicine. In this paper, we want to argue that black-box medicine conflicts with core ideals of patient-centered medicine. In particular, we claim, black-box medicine is not conducive for supporting informed decision-making based on shared information, shared deliberation, and shared mind between practitioner and patient. (shrink)

Management decision-making is a daily task that managers of various levels solve in every organization. Degree of difficulty of this process depends on the scope of authority, responsibility level, manager’s position in organizational hierarchy; on the changes in the environment, unpredictability of which causes emergence of significant amounts of alternatives. For this reason, managers do not rely only on intuition or personal experience (which limited with selective perception, cognitive ability, ability to withstand stress and/or the presence of bias), (...) but use tools (methods) that have stood the test of time and practice; are based at the analysis of a significant amount of primary and secondary information; involve team-building to find the optimal option or to generate ideas. A significant amount of research papers are devoted to such methods, however, the author forms a synergetic approach which contains a detailed analysis of their correlation with the key factors of the competitiveness of enterprise, such as organizational culture and leadership. Existing decision-making practices, problems and style of management at the tourism enterprises are revealed from conducted survey (the first half of 2014) in tourism firms of Dnepropetrovsk and Zaporizhzhia regions of Ukraine, in which 729 tourism managers took part. The most popular decision-making practices in tourism branch were specified, among them are modeling and monitoring of previous results. The study proved the hypothesis of the author concerning strong connection of decision-making management and type of organizational culture. Moreover, 63% of managers were dissatisfied with low attention to organizational culture at their companies. The basis for future research and the synergetic matrix for decision-making management were worked out in the article which give preconditions for further studies and improvements in tourism management of Ukrainian enterprises. (shrink)

The paper proposes a new technique for dealing with multi-attribute decision making problems through an extended TOPSIS method under neutrosophic cubic environment. Neutrosophic cubic set is the generalized form of cubic set and is the hybridization of a neutrosophic set with an interval neutrosophic set. In this study, we have defined some operation rules for neutrosophic cubic sets and proposed the Euclidean distance between neutrosophic cubic sets. In the decision making situation, the rating of alternatives with (...) respect to some predefined attributes are presented in terms of neutrosophic cubic information where weights of the attributes are completely unknown. In the selection process, neutrosophic cubic positive and negative ideal solutions have been defined. An extended TOPSIS method is then proposed for ranking the alternatives and finally choosing the best one. Lastly, an illustrative example is solved to demonstrate the decision making procedure and effectiveness of the developed approach. (shrink)

Using artificial intelligence (AI) to make decisions in human resource management (HRM) raises questions of how fair employees perceive these decisions to be and whether they experience respectful treatment (i.e., interactional justice). In this experimental survey study with open-ended qualitative questions, we examine decision making in six HRM functions and manipulate the decision maker (AI or human) and decision valence (positive or negative) to determine their impact on individuals’ experiences of interactional justice, trust, dehumanization, and perceptions (...) of decision-maker role appropriate- ness. In terms of decision makers, the use of human decision makers over AIs generally resulted in better perceptions of respectful treatment. In terms of decision valence, people experiencing positive over negative decisions generally resulted in better perceptions of respectful treatment. In instances where these cases conflict, on some indicators people preferred positive AI decisions over negative human decisions. Qualitative responses show how people identify justice concerns with both AI and human decision making. We outline implications for theory, practice, and future research. (shrink)

What process ought to guide decision making for pediatric patients? The prevailing view is that decision making should be informed and guided by the best interest of the child. A widely discussed structural model proposed by Buchanan and Brock focuses on parents as surrogate decision makers and examines best interests as guiding and/or intervention principles. Working from two recent articles by Ross on “constrained parental autonomy” in pediatric decision making (which is grounded (...) in the Buchanan and Brock model), I discuss (supportively) features of Ross’s effort visa-vis the best interest standard. I argue that any pediatric decision-making model that brackets or formally limits an engagement with the child patient assumes too much. Further, any model that under appreciates the place of parents and their autonomy, and the dynamic parent-child relationship, misses an opportunity to broaden the clinical encounter by considering questions of justice for the child (Rawls) and within a family (Ross). In this context, I focus on the child’s emerging and ongoing emotional and intellectual development and autonomy—their capabilities and identifying primary goods. (shrink)

This paper introduces a refined single-valued neutrosophic set (RSVNS) and presents a similarity measure of RSVNSs. Then a multicriteria decision-making method with RSVNS information is developed based on the similarity measure of RSVNSs. By the similarity measure between each alternative and the ideal solution (ideal alternative), all the alternatives can be ranked and the best one can be selected as well. Finally, an actual example on the selecting problems of construction projects demonstrates the application and effectiveness of the (...) proposed method. (shrink)

This text provides an introduction to the topic of rational decision making as well as a brief overview of the most common biases in judgment and decision making. "Decision Making" is relatively short (300 pages) and richly illustrated with approximately 100 figures. It is suitable for both self-study and as the basis for an upper-division undergraduate course in judgment and decision making. The book is written to be accessible to anybody with minimum (...) knowledge of mathematics (high-school level algebra and some elementary notions of set theory and probability, which are reviewed in the book). At the end of each chapter there is a collection of exercises that are grouped according to that chapter’s sections. Complete and detailed answers for each exercise are given in the last section of each chapter. The book contains a total of 121 fully solved exercises. (shrink)

This article explores the use of model organisms in studying the cognitive phenomenon of decision-making. Drawing on the framework of biological control to develop a skeletal conception of decision-making, we show that two core features of decision-making mechanisms can be identified by studying model organisms, such as E. coli, jellyfish, C. elegans, lamprey, and so on. First, decision mechanisms are distributed and heterarchically structured. Second, they depend heavily on chemical information processing, such as (...) that involving neuromodulators. We end by discussing the implications for studying distinctively human decision-making. (shrink)

This article is about the information relevant to decision-making capacity in refusal of life-prolonging medical treatment cases. We examine the degree to which the phenomenology of the options available to the agent—what the relevant states of affairs will feel like for them—forms part of the capacity-relevant information in the law of England and Wales, and how this informational basis varies across adolescent and adult medical treatment cases. We identify an important doctrinal phenomenon. In the leading authorities, the courts (...) appear to count the first-personal phenomenology of the available options among the information that adolescents seeking to refuse life-prolonging treatment must understand and appreciate in order to possess capacity; adults are not held to this (higher) standard. We evaluate this differential treatment in light of philosophical work on transformative choice—decisions involving options whose sensory character, and effect on our values and preferences, are grasped only through experience itself. (shrink)

This paper is an attempt to understand how social knowledge affects human economic decision making. The paper discusses the nature of social knowledge in today’s context with special reference to how social knowledge influences consumers’ sentiments and their economic decisions. Social networks are being continuously flooded with various kinds of information and disinformation. Some of the information becomes knowledge for social network users who browse various kinds of content that are either entertaining or related to products and marketing. (...) Although reliability remains a critical issue regarding online information from social networks, it, however, provides some knowledge about diverse things, goods, and products being in use in different societies around the world. Some products advertised on social networks like Facebook may affect consumer decisions or provide information about new products. This paper presents a formal discussion on what social knowledge is and how it is originated, and what use it might have for such consumers. The paper designs a simplistic mathematical model for a theoretical understanding of the assumption that has practical implications regarding its utility in society. It is found that social networks generate enough social information that can influence user choice and preferences. The study has implications for both the users and the developers of social networking sites. (shrink)

What does it mean to respect autonomy and encourage meaningful consent to treatment in the case of patients who have dementia or are otherwise incompetent? This question has been thrown into sharp relief by the Law Lords' decision in R.v Bournewood Community and Mental Health NHS Trust, ex parte L.

For people with Bipolar Affective Disorder, a self-binding (advance) directive (SBD), by which they commit themselves to treatment during future episodes of mania, even if unwilling, can seem the most rational way to deal with an imperfect predicament. Knowing that mania will almost certainly cause enormous damage to themselves, their preferred solution may well be to allow trusted others to enforce treatment and constraint, traumatic though this may be. No adequate provision exists for drafting a truly effective SBD and efforts (...) to establish such provision are hampered by very valid, but also paralysing ethical, clinical and legal concerns. Effectively, the autonomy and rights of people with bipolar are being 'protected' through being denied an opportunity to protect themselves. From a standpoint firmly rooted in the clinical context and experience of mania, this article argues that an SBD, based on a patient-centred evaluation of capacity to make treatment decisions (DMC-T) and grounded within the clinician-patient relationship, could represent a legitimate and ethically coherent form of self-determination. After setting out background information on fluctuating capacity, mania and advance directives, this article proposes a framework for constructing such an SBD, and considers common objections, possible solutions and suggestions for future research. (shrink)

In today’s rapidly evolving business landscape, organizations must continuously adapt to stay competitive. AI-driven human resource (HR) analytics has emerged as a strategic tool to enhance workforce agility and inform decision-making processes. By leveraging advanced algorithms, machine learning models, and predictive analytics, HR departments can transform vast data sets into actionable insights, driving talent management, employee engagement, and overall organizational efficiency. AI’s ability to analyze patterns, forecast trends, and offer data-driven recommendations empowers HR professionals to make proactive decisions (...) in hiring, skill development, performance management, and retention. (shrink)

The interval neutrosophic uncertain linguistic variables can easily express the indeterminate and inconsistent information in real world, and TOPSIS is a very effective decision making method more and more extensive applications. In this paper, we will extend the TOPSIS method to deal with the interval neutrosophic uncertain linguistic information, and propose an extended TOPSIS method to solve the multiple attribute decision making problems in which the attribute value takes the form of the interval neutrosophic uncertain linguistic (...) variables and attribute weight is unknown. Firstly, the operational rules and properties for the interval neutrosophic variables are introduced. Then the distance between two interval neutrosophic uncertain linguistic variables is proposed and the attribute weight is calculated by the maximizing deviation method, and the closeness coefficients to the ideal solution for each alternatives. Finally, an illustrative example is given to illustrate the decision making steps and the effectiveness of the proposed method. (shrink)

Interval bipolar neutrosophic set is a significant extension of interval neutrosophic set where every element of the set comprises of three independent positive membership functions and three independent negative membership functions. In this study, we first define correlation coefficient, and weighted correlation coefficient measures of interval bipolar neutrosophic sets and prove their basic properties. Then, we develop a new multi-attribute decision making strategy based on the proposed weighted correlation coefficient measure. Finally, we solve an investment problem with interval (...) bipolar neutrosophic information and comparison is given to demonstrate the applicability and effectiveness of the proposed strategy. (shrink)

The Value of Evidence thesis (VE) tells us to gather evidence before deciding in any decision problem, if the evidence is free. This appar- ently plausible principle faces two problems. First, it fails on evidence externalism or nonclassical decision theories. Second, it’s not general enough: it tells us to prefer gaining free evidence to gaining no evi- dence, but it doesn’t tell us to prefer gaining more informative evidence to gaining less informative evidence when both are free. This (...) paper defends an alternative value-of-evidence principle that solves the above two problems. We call it ‘the Comparative Value of Evidence for the Resolute (CVER).’ CVER not only generalizes VE to the comparative case but is also compatible with evidence externalism and nonclassical decision theories. Our argument, if successful, broadens the scope of the value-of-evidence principle and shows that it’s more robust than previously imagined. (shrink)

Abstract: Artificial Intelligence (AI) has rapidly evolved, offering transformative capabilities for business decision-making. This paper explores how AI can be leveraged to enhance strategic decision-making in business contexts. It examines the integration of AI-driven analytics, predictive modeling, and automation to improve decision accuracy and operational efficiency. By analyzing current applications and case studies, the paper highlights the opportunities AI presents, including enhanced data insights, risk management, and personalized customer experiences. Additionally, it addresses the challenges businesses (...) face in adopting AI, such as data privacy concerns, integration issues, and the need for skilled personnel. The paper concludes with recommendations for effectively implementing AI solutions to maximize their benefits while navigating potential pitfalls. (shrink)

Background: Health care practitioners are recognized to have a large influence in shaping uptake of vaccine in new borns, children, adolescents, as well as adults. Parents remain more secure in their decisions when health care practitioners communicate successfully with them about vaccine dangers and benefits, the value as well as necessity for vaccinations, as well as vaccine safety. Thus, immunization remain the foundation of the primary health care system, an indisputable human right as well as a global health and development (...) success story, saving millions of lives yearly. Recently, we have vaccines to prevent more than 20 life threatening diseases, helping people of all ages live longer, healthier lives. Yet despite tremendous progress, far too many people around the world, including nearly 20 million infants yearly have insufficient access to vaccines. In some countries, progress has stalled or even reversed, and there is a real risk that complacency will undermine past achievements. Purpose: The current study aimed to explores vaccine hesitancy, its barriers and impact studies regarding COVID-19 decision impacts. Also, to provides policy and decision makers and operational staff with evidence to inform decisions to promote vaccine uptake across Bayelsa State. Methods: A literature review tried to do a deep dive by using a variety of search engines such as Scopus, Research Gate, Mendeley, Summon, PubMed, Google Scholar, Hinari, Dimension, Academia, CAB Abstract, OARE Abstract, SSRN search strategy to retrieve research publications, “grey literature” and expert working group reports, including author’s field experience. Findings: Absence of uniform methods of organization in the various health care facilities upon which we were obliged to rely. Thus affecting the overall immunization programme and health system. Hence policy must urgently address these challenges with emphasis on policy clarity while continuously improving infrastructure. Conclusions: Bayelsa State is categorized as low/poor performing as the findings suggest that the involvement of community-based leaders can improve community participation and acceptance while enhancing and strengthening integrated disease surveillance and Adverse Events Following Immunization (AEFI) monitoring and reporting systems; and conducting integrated advocacy and communications activities to promote demand for vaccination as part of increasing overall demand and acceptability of all essential Primary Health Centers (PHC) services, thus, breaking barriers of vaccine hesitancy. (shrink)

Computers are used to make decisions in an increasing number of domains. There is widespread agreement that some of these uses are ethically problematic. Far less clear is where ethical problems arise, and what might be done about them. This paper expands and defends the Ethical Gravity Thesis: ethical problems that arise at higher levels of analysis of an automated decision-making system are inherited by lower levels of analysis. Particular instantiations of systems can add new problems, but not (...) ameliorate more general ones. We defend this thesis by adapting Marr’s famous 1982 framework for understanding information-processing systems. We show how this framework allows one to situate ethical problems at the appropriate level of abstraction, which in turn can be used to target appropriate interventions. (shrink)

The market capitalization of an enterprise is one of the key indicators characterizing the degree of influence of financial and non-financial instruments on its volumes and dynamics. Establishing the relationship between such instruments and metrics of equity and cash flows best delineates the plane of their direct impact on stimulating market capitalization. This is aimed at ensuring the implementation of effective management measures in the context of optimizing the use of equity and cash flows. The aim of the study was (...) to establish how the influence of indicators of financial and non-financial instruments on equity and cash flows forms a relevant basis for making management decisions to increase enterprise market capitalization. During the research, the following methods were used: summarization and grouping, multiple linear regression, direct ranking method, establishment of cause-and-effect relationships, logical generalization, and analytical method. As a result of the study, the toolkit for increasing the market capitalization of the enterprise from the standpoint of its grouping in terms of financial and non-financial plane was clarified. It was found that among the 36 analyzed indicators of the impact on equity and cash flows of the studied machine-building enterprises in Ukraine during the period 2010-2021, the most significant are bank lending, investment and technical metals, research and development costs, foreign scientific and technical services received, production investments, work-in-progress, and accounts payable for products, goods, and services. The results were transformed into a model of ranked instruments for stimulating the market capitalization of machine-building enterprises, which demonstrates the degree and directions of the influence of indicators of financial and non-financial instruments on the dynamics of equity and cash flows, which ensures the formation of an information database for making decisions on the further use of such instruments. The structuring of the toolkit serves as the basis for forming a system of management decisions containing practical recommendations within each group of instruments aimed at optimizing market capitalization through increased equity and cash flows of the enterprise. The obtained results will be beneficial to financial analysts of enterprises in preparing databases for making financial and non-financial decisions. (shrink)

Many seem to think that AI-induced responsibility gaps are morally bad and therefore ought to be avoided. We argue, by contrast, that there is at least a pro tanto reason to welcome responsibility gaps. The central reason is that it can be bad for people to be responsible for wrongdoing. This, we argue, gives us one reason to prefer automated decision-making over human decision-making, especially in contexts where the risks of wrongdoing are high. While we are (...) not the first to suggest that responsibility gaps should sometimes be welcomed, our argument is novel. Others have argued that responsibility gaps should sometimes be welcomed because they can reduce or eliminate the psychological burdens caused by tragic moral choice-situations. By contrast, our argument explains why responsibility gaps should sometimes be welcomed even in the absence of tragic moral choice-situations, and even in the absence of psychological burdens. (shrink)

Citizens can be meaningfully involved in multiple phases of the urban planning process from decision-making to implementation via a dedicated online platform through which they can interact with planners and decision-makers. In historical contexts, local people are essential resources for decision-makers seeking critical local information needed for effective planning and intervention—including what those citizens recall from the past about the area’s social values and the built environment and what they imagine and hope for their neighborhood’s future. (...) This public knowledge, collected through storytelling and mapping, can play a fundamental role in shaping the framework for neighborhood rehabilitation plans. As a foundation for designing an online visual questionnaire to collect local knowledge and understand the views and expectations of local people, this study focuses on theoretical ideas to define a framework for an online visual questionnaire tool. The tool presented provides a common visual language that people can easily understand and use whatever their social class, education, or background. It also has the benefit of enabling citizens and planners to interact directly regardless of their geographical location. To proposing a framework for the online visual questionnaire, the first step was to review some existing visual tools and methods, including analog used for community engagement and digital used in urban planning to encourage and support public participation. Through an analysis of these methods, some important variables and criteria were identified that further our understanding of citizens’ perceptions of their neighborhoods. The next step, as part of a larger study, will be examining a historical public space, including a bazaar, hammam, and cistern—located in the historical context of Yazd— a central city in Iran registered as a cultural heritage site by UNESCO— as a case study with the larger goal of identifying some specific. (shrink)

The human factor in information systems is a large vulnerability when implementing cybersecurity, and many approaches, including technical and policy driven solutions, seek to mitigate this vulnerability. Decisions to apply technical or policy solutions must consider how an individual’s values and moral stance influence their responses to these implementations. Our research aims to evaluate how individuals prioritise different ethical principles when making cybersecurity sensitive decisions and how much perceived choice they have when doing so. Further, we sought to use (...) participants’ responses to cybersecurity scenarios to create profiles that describe their values and individual factors including personality. Participants (n = 193) in our study responded to five different ethically sensitive cybersecurity scenarios in random order, selecting their action in that scenario and rating and ranking of the ethical principles (i.e., Beneficence, Non-Maleficence, Justice, Autonomy, Explicability) behind that action. Using participants’ demographics, personality, values, and cyber hygiene practices, we created profiles using machine learning to predict participants’ choices and the principle of most importance to them across scenarios. Further, we found that, generalising, for our participants Autonomy was the most important ethical principle in our scenarios, followed by Justice. Our study also suggests that participants felt they had some agency in their decision making and they were able to weigh up different ethical principles. (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 ti...

Bipolar neutrosophic sets are the extension of neutrosophic sets and are based on the idea of positive and negative preferences of information. Projection measure is a useful apparatus for modelling real life decision making problems. In the paper, we define projection, bidirectional projection and hybrid projection measures between bipolar neutrosophic sets. Three new methods based on the proposed projection measures are developed for solving multi-attribute decision making problems. In the solution process, the ratings of performance values (...) of the alternatives with respect to the attributes are expressed in terms of bipolar neutrosophic values. We calculate projection, bidirectional projection, and hybrid projection measures between each alternative and ideal alternative with bipolar neutrosophic information. All the alternatives are ranked to identify the best alternative. Finally, a numerical example is provided to demonstrate the applicability and effectiveness of the developed methods. Comparison analysis with the existing methods in the literature in bipolar neutrosophic environment is also performed. (shrink)

During the corona pandemic, politicians have been forced to make urgent decisions under pressure while balancing between challenging options: protecting citizens’ health or causing major social and economic difficulties through security measures. Part of the dilemma has been whether the chosen security measures are oversized, causing fundamental economic and social problems, or not sufficiently enough, thus putting people’s lives at risk. In illustrating our discussion with actions taken by press conferences (PCs) of the Finnish Government, we discuss how nonknowing has (...) governed political decision-making in the corona crisis and how tackling the pandemic has required politicians and experts to develop a capability of dealing with the epistemic conditions of nonknowledge. When information about the virus was constantly updated, the epistemic states of ‘not-yet-known’ or ‘partly-known’ substantially affect the rhythms in which political decisions are made in managing the spread of COVID-19. We suggest that Prime Minister Marin and her cabinet developed a policy of epistemic humility where the legitimation of decision is not based on scientific knowledge but rather on the temporality of nonknowing. The crisis created a favourable momentum for addressing issues of nonknowing in politics, which are easily kept outside of the public attention. (shrink)

The research material proposes the use of decision support information-analytical technology in discharge military personnel employment, which, in contrast to the usual processing of survey results, makes it possible to obtain more information for decision-making. Adherence to such an approach in the development of public administration mechanisms increases the likelihood that in the case of their implementation in the country there will be positive changes, as they will indirectly take into account the availability of necessary resources. Information (...) and analytical technology to support decisions in the field of labor economics substantiates the development of the example of discharged military personnel social welfare. According to the content, the developed decision support information-analytical technology in the field of labor economics provides for the following components: formation of social protection mechanisms; development of a questionnaire on the use of the appropriate mechanism; statistical analysis of survey results (generation of empirical distributions of answers to questions relative frequencies; comparison of answers medians; correspondences analysis; factor analysis; analysis of hierarchies); meaningful interpretation; decision making. (shrink)

Suboptimality of decision making needs no explanation. High level accounts of suboptimality in diverse tasks cannot add up to a mechanistic theory of perceptual decision making. Mental processes operate on the contents of information brought by the experimenter and the participant to the task, not on the amount of information in the stimuli without regard to physical and social context.

Scientists have the ability to influence policy in important ways through how they present their results. Surprisingly, existing codes of scientific ethics have little to say about such choices. I propose that we can arrive at a set of ethical guidelines to govern scientists’ presentation of information to policymakers by looking to bioethics: roughly, just as a clinician should aim to promote informed decision-making by patients, a scientist should aim to promote informed decision-making by (...) policymakers. Though this may sound like a natural proposal, I show it offers guidance that conflicts with standard scientific practices. I conclude by considering one cost of the proposal: that it would prevent scientists from acting as advocates in a way that is currently common in certain fields. I accept that the proposal would restrict scientists’ political advocacy rights, but argue that the benefits of adopting it — promoting democratic governance — justify the restriction. (shrink)

The purpose of this study is to identify the requirements of computerized Management Information Systems and their role in improving the quality of administrative decisions in the Palestinian Ministry of Education and Higher Education. The authors used the descriptive analytical method and the questionnaire method to collect the data. (247) questionnaires were distributed on the study sample and (175) questionnaires were collected back with a recovery rate of (70.8). The study showed a number of results, the most important of which (...) are: There exist a role for computerized management information system requirements in improving the quality of administrative decisions in the Ministry of Education and Higher Education. This result is due to the existence of the support and attention by the senior management in the Ministry of Education and Higher Education by 65.06%, the physical requirements available for the use of computerized Management Information Systems are available by (72.19%), and the software requirements for the use of computerized Management Information Systems are available at 67.74%. The results found that the human requirements available for the use of computerized Management Information Systems are available at (68.33%). The results showed that the organizational requirements that assist in the use of information systems are available at (64.19%). There are no statistically significant differences between respondents' responses to the role of computerized management information system requirements in improving the quality of administrative decisions in the Ministry of Education and Higher Education attributable to the variables(Gender, academic qualification, age, career level), while there are statistically significant differences in the role of computerized management information system requirements in improving the quality of administrative decisions in the Ministry of Education and Higher Education due to variable years of service. The study concluded that the Ministry of Education and Higher Education is able to cope with the external environmental changes rapidly and the limited time available for the collection and analysis of information. This means that administrative information systems should be used by increasing the approval of senior management on Management Information Systems in making their decisions, and to involve the employees in making any change and keep abreast of technical developments and try to use external bodies to advise in the field of computerized information systems, and work to increase coordination between the different departments of the ministry. (shrink)

Introduction: Online eye-tracking has been used in this study to assess the impacts of different cultural backgrounds on information discernment. An online platform called RealEye allowed participants to engage in the eye-tracking study from their personal computer webcams, allowing for higher ecological validity and a closer replication of social media interaction. -/- Methods: The study consisted of two parts with a total of five visuals of social media posts mimicking news posts on Twitter, Instagram, and Facebook. Participants were asked to (...) view examples of real and fake news taken from a news fact-checking website, Snopes, and their eye movements were recorded during the process. Participants were recruited through Prolific and SONA; the total sample size for study 1.1 was 29 participants, and the total for study 1.2 was 25 participants, after removing poor eye-tracking data. A total of five visual images comprising true and false news were shown to the participant, study 1.1 had three examples and study 1.2 had two examples. There were two main cultural backgrounds in focus: participants born in China or the United Kingdom. -/- Results: Results suggested that participants follow a similar visual pattern of attention to Areas of Interest (AOIs) on the posts, which leads us to believe that due to the global standardisation of popular social media platforms, a bias might have occurred during information discernment. -/- Discussion: It is suggested that regardless of country background, users may have similar eye-tracking results while viewing a social media post because social media platform formats are standardised globally. Further research would recommend looking at language and linguistic traits when seeking differences between country backgrounds during online information discernment. (shrink)

Most medical research and a substantial amount of non-medical research, especially that involving human participants, is governed by some kind of research ethics committee (REC) following the recommendations of the Declaration of Helsinki for the protection of human participants. The role of RECs is usually seen as twofold: firstly, to make some kind of calculation of the risks and benefits of the proposed research, and secondly, to ensure that participants give informed consent. The extent to which the role of (...) the REC includes the former is not uncontroversial. Indeed, the most prevalent debate on the role of RECs sees liberals and strong paternalists arguing over the importance of informed consent given by competent agents versus the significance of making benevolent decisions on behalf of others. On the one hand, liberals argue for the rights of competent adults to decide for themselves the kinds and extents of risks to which they wish to expose themselves. On the other hand, proponents of strong paternalism raise concerns about the likelihood of participants being able to truly understand the complex data involved in research. They support a role for RECs in which they exercise duties of benevolence towards patients and participants by limiting the extent to which they can be exposed to significant, permanent and irreversible harms. In this paper, we will argue that when it comes to decisions about risk it is neither possible nor desirable for RECs to adopt either role. (shrink)

This chapter includes a discussion of leadership decisions and stress. Many leaders are daily exposed to stress when they must make decisions, and there are often social reasons for this. Social standards suggest that a leader must be proactive and make decisions and not flee the situation. Conflict often creates stress in decision-making situations. It is important for leaders to understand that it is not stress in itself that leads to bad decisions, rather, bad decisions may be the (...) result of time pressure in the sense that leaders have not been able to gather enough relevant information. Thus, it is worthwhile for leaders to be able to prioritize properly in order to cope with stressful situations. In some situations, a leader chooses to delegate the decisions to his/her team and then it is important to guard against «groupthink», a phenomenon where members of a team put consensus before anything else as a result of the peer pressure. A number of methods are presented that enable leaders to avoid this phenomenon. Often leaders are involved in decision-making situations where they are forced to navigate between objectives that are in strong conflict with each other. We are talking about «decision dilemmas». These are characterized by the existence of a conflict between the top leadership's desire to control the activities and their wish to give autonomy and independence to the various units. It is important for leaders to be able to strike a balance in different dilemma situations and understand how to best manage conflicts when they arise -/- . (shrink)

The Intergovernmental Panel on Climate Change has developed a novel framework for assessing and communicating uncertainty in the findings published in their periodic assessment reports. But how should these uncertainty assessments inform decisions? We take a formal decision-making perspective to investigate how scientific input formulated in the IPCC’s novel framework might inform decisions in a principled way through a normative decision model.

Trials with highly unfavourable risk–benefit ratios for participants, like HIV cure trials, raise questions about the quality of the consent of research participants. Why, it may be asked, would a person with HIV who is doing well on antiretroviral therapy be willing to jeopardise his health by enrolling in such a trial? We distinguish three concerns: first, how information is communicated to potential participants; second, participants’ motivations for enrolling in potentially high risk research with no prospect of direct benefit; and (...) third, participants’ understanding of the details of the trials in which they enrol. We argue that the communication concern is relevant to the validity of informed consent and the quality of decision making, that the motivation concern does not identify a genuine problem with either the validity of consent or the quality of decision making and that the understanding concern may not be relevant to the validity of consent but is relevant to the quality of decision making. In doing so, we derive guidance points for researchers recruiting and enrolling participants into their HIV cure trials, as well as the research ethics committees reviewing proposed studies. (shrink)

This article provides an answer to the question: What is the function of cognition? By answering this question it becomes possible to investigate what are the simplest cognitive systems. It addresses the question by treating cognition as a solution to a design problem. It defines a nested sequence of design problems: (1) How can a system persist? (2) How can a system affect its environment to improve its persistence? (3) How can a system utilize better information from the environment to (...) select better actions? And, (4) How can a system reduce its inherent informational limitations to achieve more successful behavior? This provides a corresponding nested sequence of system classes: (1) autonomous systems, (2) (re)active autonomous systems, (3) informationally controlled autonomous systems (autonomous agents), and (4) cognitive systems. -/- This article provides the following characterization of cognition: The cognitive system is the set of mechanisms of an autonomous agent that (1) allow increase of the correlation and integration between the environment and the information system of the agent, so that (2) the agent can improve the selection of actions and thereby produce more successful behavior. -/- Finally, it shows that common cognitive capacities satisfy the characterization: learning, memory, representation, decision making, reasoning, attention, and communication. (shrink)

Memory evolved to supply useful, timely information to the organism’s decision-making systems. Therefore, decision rules, multiple memory systems, and the search engines that link them should have coevolved to mesh in a coadapted, functionally interlocking way. This adaptationist perspective suggested the scope hypothesis: When a generalization is retrieved from semantic memory, episodic memories that are inconsistent with it should be retrieved in tandem to place boundary conditions on the scope of the generalization. Using a priming paradigm and (...) a decision task involving person memory, the authors tested and confirmed this hypothesis. The results support the view that priming is an evolved adaptation. They further show that dissociations between memory systems are not—and should not be—absolute: Independence exists for some tasks but not others. (shrink)