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)

When it comes to online fashion, this research focused on the interaction between three factors: preferences for online fashion goods, consumer buying choices for online fashion products, and brand image. A descriptive correlational approach was used. A total of 184 sampled active online purchasers of fashion items from a population of 350 online buyers in Thailand participated in the research. The study was carried out with the use of tools that had been adopted. Descriptive data showed that respondents had (...) a high preference for online marketing, a positive attitude towards online fashion goods, a high degree of consumer buying choices towards online fashion products, and a high preference for favorable brand image in the research. There were significant variations in respondents' preferences for online shopping as well as attitudes toward fashion items and consumer purchase decisions based on age, civil status, education, monthly income, and profession, according to the results of a test of difference. A further connection test revealed that respondents' liking for online marketing tends to improve their attitude toward online fashion items and consumer buying choices. In the end, the results of multiple regression analysis revealed that age, civil status and education level, online marketing approach, attitude towards online fashion goods, and brand image and attitude are all predictors of buying choices. The study's practical consequences for an internet business are addressed. The study's practical consequences for an internet business are addressed. (shrink)

In a rigorous systematic review, Dukhanin and colleagues categorize metrics and evaluative tools of the engagement of patient, public, consumer, and community in decision-making in healthcare institutions and systems. The review itself is ably done and the categorizations lead to a useful understanding of the necessary elements of engagement, and a suite of measures relevant to implementing engagement in systems. Nevertheless, the question remains whether the engagement of patient representatives in institutional or systemic deliberations will lead to (...) improved clinical outcomes or increased engagement of individual patients themselves in care. Attention to the conceptual foundations of patient engagement would help make this systematic review relevant to the clinical care of patients. (shrink)

Financial literacy is becoming a pivotal skill in navigating the marketplaces within the predominant rising digital branches of trading domains; however, there remains a concerning gap in the purchasing behavior of adolescents, who are its primary users. With this in mind, the main objective of our research is to determine whether there is a relationship between a student's level of financial literacy and their online purchase decision-making. The researchers employed an explanatory mixed approach and purposive sampling to identify (...) respondents from Immaculate Conception College of Balayan, Inc. A 5-point Likert scale survey was utilized to collect data from 66 respondents, followed by semi-structured interviews with 10 selected participants. The results showed a moderately positive correlation between a student's financial literacy and online purchase decisions, as determined by the Pearson correlation coefficient. Thus, the thematic analysis revealed that respondents generally have good financial literacy, emphasizing factors like pricing, online reviews, and product ratings when making digital marketplace decisions. However, there are notable gaps in their understanding of basic financial concepts and their ability to apply them in real-life situations. To effectively enhance students’ financial literacy and online purchasing decisions, a holistic approach is necessary, including targeted interventions, practical applications, and continuous adaptation to evolving consumer behaviors. Educational institutions, policymakers, and stakeholders should work together to create comprehensive programs that provide students with the knowledge, skills, and attitudes needed to negotiate real-world financial situations and make sound judgments in the digital commerce ecosystem. By emphasizing practical learning, key financial concepts, and trustbuilding approaches, educators may empower students to become responsible consumers capable of managing their resources successfully and ethically. (shrink)

The dominant approach to the study of dynamic preference is to generate preference change by manipulating aspects of decision-problem presentation (problem description, task procedure, contextual options). The predisposing approach instead manipulates the decision maker’s mental state while holding problem presentation constant. Three illustrative studies are outlined here. The first modified preferences for ambitious consumption by manipulating subjects’ consumption energy. The second modified preferences for immediate consumption by manipulating subjects’ hedonic resources. The third modified preferences for consumption itself by (...) manipulating subjects’ desire proneness. Whereas framing is thought to affect perception, predisposing apparently can affect tastes and so involves a special kind of preference dynamism. (shrink)

Decision-making regarding healthcare expenditure hinges heavily on an individual's health status and the certainty about the future. This study uses data on propensity of general health exam (GHE) spending to show that despite the debate on the necessity of GHE, its objective is clear—to obtain more information and certainty about one’s health so as to minimise future risks. Most studies on this topic, however, focus only on factors associated with GHE uptake and overlook the shifts in behaviours and (...) attitudes regarding different levels of cost. To fill the gap, this study analyses a dataset of 2068 subjects collected from Hanoi (Vietnam) and its vicinities using the baseline-category logit method. We evaluate the sensitivity of Vietnamese healthcare consumers against two groups of factors (demographic and socioeconomic-cognitive) regarding payment for periodic GHE, which is not covered by insurance. Our study shows that uninsured, married and employed individuals are less sensitive to cost than their counterparts because they value the information in reducing future health uncertainty. The empirical results challenge the objections to periodic health screening by highlighting its utility. The relevance of behavioural economics is further highlighted through a look at the bounded rationality of healthcare consumers and private insurance companies in using and providing the service, respectively. (shrink)

Taken collectively, consumer food choices have a major impact on animal lives, human lives, and the environment. But it is far from clear how to move from facts about the power of collective consumer demand to conclusions about what one ought to do as an individual consumer. In particular, even if a large-scale shift in demand away from a certain product (e.g., factory-farmed meat) would prevent grave harms or injustices, it typically does not seem that it will (...) make a difference whether one refrains from purchasing that product oneself. Most present-day food companies operate at too large a scale for a single purchase to make a difference to production decisions. If that is true, then it is not clear what point there is in refraining. This is “the problem of collective impact.” This chapter explores a range of proposals for how to solve this problem. (shrink)

Although social scientists have identified diverse behavioral patterns among children from dissimilarly structured families, marketing scholars have progressed little in relating family structure to consumption-related decisions. In particular, the roles played by members of single-mother families—which may include live-in grandparents, mother’s unmarried partner, and step-father with or without step-sibling(s)—may affect children’s influence on consumption-related decisions. For example, to offset a parental authority dynamic introduced by a new stepfather, the work-related constraints imposed on a breadwinning mother, or the imposition of adult-level (...) household responsibilities on children, single-mother families may attend more to their children’s product preferences. -/- Without a profile that includes socio-economic, behavioral, and psychological aspects, efficient and socially responsible marketing to single-mother households is compromised. Relative to dual-parent families, single-mother families tend to have fewer resources and less buying power, children who consume more materialistic and compulsively, and children who more strongly influence decision making for both own-use and family-use products. Timely research would ensure that these and other tendencies now differentiate single-mother from dual-parent families in ways that marketers should address. Hence, our threefold goal is (1) to consolidate and highlight gaps in existing theory applied to studying children’s influence on consumption-related decision making in single-mother families, and (2) to propose a hybrid framework that merges two theories conducive to such research, and (3) to identify promising research propositions for future research. (shrink)

As a moral foundation for vegetarianism and other consumer choices, act consequentialism can be appealing. When we justify our consumer and dietary choices this way, however, we face the problem that our individual actions rarely actually precipitate more just agricultural and economic practices. This threshold or individual impotence problem engaged by consequentialist vegetarians and their critics extends to morally motivated consumer decision-making more generally, anywhere a lag persists between individual moral actions taken and systemic moral (...) progress made. Regan and others press just this point against Singer's utilitarian basis for vegetarianism; recently Chartier criticizes act-consequentialist vegetarianism by identifying many factors weakening the connection between individual meat purchases and changes in animal production. While such factors are relevant to act-consequentialist moral reasoning, I argue, they need not defeat the act-consequentialist case for vegetarianism and consumer ethics. This is shown by offering a probabilistic account of the threshold issue and discussing the positive and negative role-modelling effects of our morally motivated dietary and consumer choices. (shrink)

Consumer behavior analytics has become a pivotal aspect for businesses to understand and predict customer preferences and actions. The advent of machine learning (ML) algorithms has revolutionized this field by providing sophisticated tools for data analysis, enabling businesses to make data-driven decisions. However, the effectiveness of these ML algorithms significantly hinges on the optimization techniques employed, which can enhance model accuracy and efficiency. This paper explores the application of various optimization techniques in consumer behaviour analytics using machine learning (...) algorithms. By focusing on the optimization of key parameters, the study aims to improve the predictive power of models and reduce computational costs. (shrink)

Consumer behavior analytics has become a pivotal aspect for businesses to understand and predict customer preferences and actions. The advent of machine learning (ML) algorithms has revolutionized this field by providing sophisticated tools for data analysis, enabling businesses to make data-driven decisions. However, the effectiveness of these ML algorithms significantly hinges on the optimization techniques employed, which can enhance model accuracy and efficiency. This paper explores the application of various optimization techniques in consumer behaviour analytics using machine learning (...) algorithms. By focusing on the optimization of key parameters, the study aims to improve the predictive power of models and reduce computational costs. (shrink)

Decisional capacity evaluations (DCEs) occur in clinical settings where it is unclear whether a consumer of medical services has the capacity to make an informed decision about the relevant medical options. DCEs are localized interventions, not the global loss of competence, that assign a surrogate decision maker to make the decision on behalf of the medical consumer. We maintain that one important necessary condition for a DCE to be morally justified, in cases of medical necessity, (...) is that the health care consumer under evaluation is incapable of expressing a preference for a certain outcome. (shrink)

When consumers choose to abstain from purchasing meat, they face some uncertainty about whether their decisions will have an impact on the number of animals raised and killed. Consequentialists have argued that this uncertainty should not dissuade consumers from a vegetarian diet because the “expected” impact, or average impact, will be predictable. Recently, however, critics have argued that the expected marginal impact of a consumer change is likely to be much smaller or more radically unpredictable than previously thought. This (...) objection to the consequentialist case for vegetarianism is known as the “causal inefficacy” (or “causal impotence”) objection. In this paper, we argue that the inefficacy objection fails. First, we summarize the contours of the objection and the standard “expected impact” response to it. Second, we examine and rebut two contemporary attempts (by Mark Budolfson and Ted Warfield) to defeat the expected impact reply through alleged demonstrations of the inefficacy of abstaining from meat consumption. Third, we argue that there are good reasons to believe that single individual consumers—not just individual consumers taken as an aggregate—really do make a positive difference when they choose to abstain from meat consumption. Our case rests on three economic observations: (i) animal producers operate in a highly competitive environment, (ii) complex supply chains efficiently communicate some information about product demand, and (iii) consumers of plant-based meat alternatives have positive consumption spillover effects on other consumers. (shrink)

Human beings as self-conscious, aesthetic, sympathetic, and empathetic beings develop various ways to live in this world. They continue to aspire for a better version of themselves and their lives. In this process, they developed certain ethical norms, social practices, and ways to perceive and understand this world. These qualities become the basis for proactive steps of spirituality which in turn become the foundation of religion. In human history, religion has helped individuals to fulfill various human needs irrespective of their (...) culture. Despite differences in the content of various religious philosophies, mythological structures, and religious ceremonies, it gave a sense of meaning and purpose to human beings. Because of its omnipresence, many philosophers along with biological and cultural evolutionary researchers have suggested coming up with a universal explanation for religion. -/- Nevertheless, religion was also employed as a means of exploitation by the powerful elites in various societies. Thus, many times, it worked as an orthodox, deceptive, and enslaving force for humanity. Modern thought emphasized the later effects of religion and found it less emancipatory. -/- Hence, enlightenment philosophy focused on rationality as a significant aspect of human beings. Besides, the development of science has unfolded various hidden and hitherto mysterious natural phenomena to mankind. This change has brought rationality to the forefront of human existence every institution began to build around this notion of human being. Even the death of God was announced by Nietzsche with grief in 1885. -/- Was it really the death of God? Can human beings live without religion sanely? These questions become very relevant particularly in recent times when we see resurgence of religious identities in the political and social discourses. However, consumer mythology and consumer culture remain at the forefront while making decisions in our daily lives across cultures. Even sometimes, religious identities are absorbed by powerful market forces; how to understand this contradictory phenomenon? -/- Between both these understandings, this paper sets three objectives for itself – first, to analyze the human need for religion from a psychological and existential perspective. Second, it critically evaluates the secular thesis as put forward by European enlightenment thinkers in the light of contemporary consumerist mythology. The third objective involves a brief description of universal religion and its relevance at this time. (shrink)

This chapter examines the possibility of using AI technologies to improve human moral reasoning and decision-making, especially in the context of purchasing and consumer decisions. We characterize such AI technologies as artificial ethics assistants (AEAs). We focus on just one part of the AI-aided moral improvement question: the case of the individual who wants to improve their morality, where what constitutes an improvement is evaluated by the individual’s own values. We distinguish three broad areas in which an (...) individual might think their own moral reasoning and decision-making could be improved: one’s actions, character, or other evaluable attributes fall short of one’s values and moral beliefs; one sometimes misjudges or is uncertain about what the right thing to do is in particular situations, given one’s values; one is uncertain about some fundamental moral questions or recognizes a possibility that some of one’s core moral beliefs and values are mistaken. We sketch why one might think that AI tools could be used to support moral improvement in those areas, and describe two types of assistance: preparatory assistance, including advice and training supplied in advance of moral deliberation; and on-the-spot assistance, including on-the-spot advice and facilitation of moral functioning over the course of moral deliberation. Then, we turn to some of the ethical issues that AEAs might raise, looking in particular at three under-appreciated problems posed by the use of AI for moral self-improvement: namely, reliance on sensitive moral data; the inescapability of outside influences on AEAs; and AEA usage prompting the user to adopt beliefs and make decisions without adequate reasons. (shrink)

There is a large gap between attitude and action when it comes to consumer purchases of ethical food. Amongst the various aspects of this gap, this paper focuses on the difficulty in knowing enough about the various dimensions of food production, distribution and consumption to make an ethical food purchasing decision. There is neither one universal definition of ethical food. We suggest that it is possible to support consumers in operationalizing their own ethics of food with the use (...) of appropriate information and communication technology. We consider eggs as an example because locally produced options are available to many people on every continent. We consider the dimensions upon which food ethics may be constructed, then discuss the information required to assess it and the tools that can support it. We then present an overview of opportunities for design of a new software tool. Finally, we offer some points for discussion and future work. (shrink)

Those of us who enjoy certain products of the global industrial economy but also believe it is wrong to consume them are often so demoralized by the apparent inefficacy of our individual, private choices that we are unable to resist. Although he was a deontologist, Kant was clearly aware of this ‘consequent-dependent’ side of our moral psychology. One version of his ‘moral proof’ is designed to respond to the threat of such demoralization in pursuit of the Highest Good. That version (...) of the argument says that the capacity that faith and trust in God has to sustain our moral resolve licenses that faith and trust, from a practical point of view. My goal here is to argue that Kant’s proof has a contemporary, secular analogue in modern industrial contexts where the apparent “inefficacy” of an individual consumer’s choices in the face of massive insensitive supply-chains is a threat to her moral resolve. I conclude by suggesting that the Kantian approach may license us in adopting (as an item of defeasible moral faith) an evidential decision-theoretic principle regarding what it is to ‘make a difference.’ This in turn licenses trust -- if not in God then in other right-minded people. (shrink)

In 2012, a major traffic safety organization tasked the MIT AgeLab with developing a data-driven system for rating the effectiveness of new technologies intended to improve safety. Such a system was envisioned as having the potential to educate and guide consumers towards more confident and strategic purchasing decisions, ideally encouraging adoption of technologies with demonstrated safety benefit. In addition, an evaluation of the status and extent of existing data was seen as a way of identifying research gaps in the state (...) of knowledge about safety systems. The focus was on technologies as a class, not on a rating review of individual vehicle model implementations. As conceptualized, the system aimed to complement traditional NCAP style ratings as well as to provide consumers with transparent information on early stage and often improving safety technologies. Development of the rating system and identification of data was undertaken in consultation with a range of academic, industrial, consumer, NGO, and governmental experts as well as with representatives of many of the major automotive manufacturers and suppliers. -/- A key observation that emerged was that data on objectively demonstrable real-world benefits were generally sparse and often lower than expectations based on theoretical considerations, simulation studies, or pre-production evaluations. A number of experts and industry representatives expressed some surprise at both the divergence between theoretical and observed benefits and the relative scarcity of data upon which to make objective assessments, while others were quite aware of these issues and the need for the development of objective data under real-world operating conditions. A number of factors that might be relevant to understanding why such differences between expected and observed benefits exist were identified. One outcome of this effort was the founding of the Advanced Vehicle Technology (AVT) consortium to collect and examine objective data under naturalistic driving conditions of how drivers interact with, engage or don’t engage, various production safety and driver assistance systems. This ongoing effort is contributing to insights concerning actual benefits and reasons for benefit gaps. -/- Drawing from our initial work, as well as newer sources of data, we argue that the evaluation and rating of safety and driver assistance technologies for informing the consumer and the public at large should consider both theoretical potential and existing demonstrated benefit of specific technologies. This position is increasingly relevant as the effectiveness of many newer technologies have the potential to actually improve over the lifecycle of a vehicle through software updates. The emphasis on ratings based on observed benefit for actual drivers under real-world conditions is proposed to be complementary, rather than competing with, ratings focused largely on controlled test track evaluations of engineered capability. In addition, a case is made for providing ratings that assesses benefit relative to overall crash, injury, and fatality rates – and in relation to the specific scenario / crash event type that a given technology is intended to address. This approach should aid consumers in considering the extent to which a specific technology is or is not relevant to their particular driving needs. (shrink)

One of the moral questions concerning autonomous vehicles (henceforth AVs) is the choice between types that differ in their built-in algorithms for dealing with rare situations of unavoidable lethal collision. It does not appear to be possible to avoid questions about how these algorithms should be designed. We present the results of our study of moral preferences (N = 2769) with respect to three types of AVs: (1) selfish, which protects the lives of passenger(s) over any number of bystanders; (2) (...) altruistic, which minimizes the number of casualties, even if this leads to death of passenger(s); and (3) conservative, which abstains from interfering in such situations. We differentiate between scenarios in which participants are to make their decisions privately or publicly, and for themselves or for their offspring. We aim to answer two research questions: (1) whether the public visibility of the choice of an AV type choice make this choice more altruistic and (2) which type of situation makes it more difficult to choose altruistically: when choosing for society as a whole, when choosing only for oneself, or when choosing only for one’s offspring. Our results show that respondents exhibit a preference for an altruistic strategy for AVs and that it is reinforced when signaled to others. The altruistic preference is strongest when applies to everybody else, weaker when it reflects a solely personal choice, and weakest when choosing for one’s own child. We conclude that a public choice is considerably more likely to pressure consumers into accepting a more socially beneficial solution. (shrink)

Animal welfare is a concept that plays a role within both our moral deliberations and the relevant areas of science. The study of animal welfare has impacts on decisions made by legislators, producers and consumers with regards to housing and treatment of animals. Our ethical deliberations in these domains need to consider our impact on animals, and the study of animal welfare provides the information that allows us to make informed decisions. This thesis focusses on taking a philosophical perspective to (...) answer the question of how we can measure the welfare of animals. Animal welfare science is an applied area of biology, aimed at measuring animal welfare. Although philosophy of animal ethics is common, philosophy focussing on animal welfare science is rare. Despite this lack, there are definitely many ways in which philosophical methods can be used to analyse the methodologies and concepts used in this science. One of the aims of the work in this thesis is to remedy this lack of attention in animal welfare. Animal welfare science is a strong emerging discipline, but there is the need for conceptual and methodological clarity and sophistication in this science if it is to play the relevant informative role for our practical and ethical decision-making. There is thus is a strong role here for philosophical analysis for this purpose. The central aim of this thesis is to provide an account of how we can measure subjective animal welfare, addressing some of the potential problems that may arise in this particular scientific endeavour. The two questions I will be answering are: what is animal welfare, and how do we measure it? Part One of the thesis looks at the subjective concept of animal welfare and its applications. In it, I argue for a subjective welfare view - that animal welfare should be understood as the subjective experience of individuals over their lifetimes - and look at how the subjective welfare concept informs our ethical decision-making in two different cases in applied animal ethics. Part Two of the thesis looks more closely at the scientific role of welfare. Understanding welfare subjectively creates unique measurement problems, due to the necessarily private nature of mental states and here I address a few of these problems, including whether subjective experience is measurable, how we might validate indicators of hidden target variables such as welfare, how we can make welfare comparisons between individual animals and how we might compare or integrate the different types of experience that make up welfare. I end with a discussion of the implications of all these problems and solutions for the practice of welfare science, and indicate useful future directions for research. (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)

In this study, we propose a new approach based on fuzzy TODIM (Portuguese acronym for interactive and multicriteria decision-making) for decision-making problems in uncertain environments. Our method incorporates group utility and individual regret, which are often ignored in traditional multicriteria decision-making (MCDM) methods. To enhance the analysis and application of fuzzy sets in decision-making processes, we introduce novel entropy and distance measures for q-rung picture fuzzy sets. These measures include an entropy measure (...) based on the sine function and a distance measure derived from the Jensen-Shannon divergence. In our methodology, incorporating the sine function into the entropy measure stands out as a distinctive decision, grounded in a profound understanding of the inherent characteristics of fuzzy sets. Utilizing the sine function proves especially advantageous when handling fuzzy sets that exhibit cyclical variations or fluctuations in their membership degrees. We effectively weight the criteria for an improved evaluation by using this new entropy measure. The introduced distance measure finds application in the TODIM approach, allowing the execution of TODIM method steps within a fuzzy environment until the determination of one alternative’s dominance over another—an advancement beyond traditional approaches. We apply our enhanced fuzzy TODIM method to a real-life construction project management problem from the literature and compare the results with those in the literature and obtained from other MCDM methods. Our proposed measures are robust, as demonstrated by the sensitivity analysis that varied the weights of group utility and individual regret, with the results visualized in a 3D sensitivity plot. The findings demonstrate the superiority of our method in providing a more comprehensive evaluation of alternatives, making it a useful tool for decision-makers facing complex and uncertain decision-making problems. (shrink)

Decision-making Capacity matters to whether a patient’s decision should determine her treatment. But why it matters in this way isn’t clear. The standard story is that dmc matters because autonomy matters. And this is thought to justify dmc as a gatekeeper for autonomy – whereby autonomy concerns arise if but only if a patient has dmc. But appeals to autonomy invoke two distinct concerns: concern for authenticity – concern that a choice is consistent with an individual’s commitments; (...) and concern for sovereignty – concern that an individual exercises control over that which is hers to control. Here, I argue, neither concern can alone explain why dmc matters. Instead, dmc matters because it indicates a harmony between the two concerns – the demands of each concern are more likely to agree if a patient has dmc. This vindicates the standard story, but also makes clear that dmc is an inappropriate gatekeeper for autonomy. (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)

Cloud computing (ClC) has become a more popular computer paradigm in the preceding few years. Quality of Service (QoS) is becoming a crucial issue in service alteration because of the rapid growth in the number of cloud services. When evaluating cloud service functioning using several performance measures, the issue becomes more complex and non-trivial. It is therefore quite difficult and crucial for consumers to choose the best cloud service. The user's choices are provided in a quantifiable manner in the current (...) methods for choosing cloud services. Hence, this study attempts to achieve this objective through construction. decision-making framework so-called cloud services evaluator (CSsEv). The main indicator and its sub-indicators are formed as nodes at levels(n) in tree soft sets (TSSs). Thereafter Single Value Neutrosophic Sets (SVNSs) as branch of neutrosophic sets which conjunction with the Multi-Criteria Decision Making (MCDM) technique to facilitate analysis and evaluation process for the available Cloud services providers. Hence, entropy is employed to obtain indicators and sub_indicators weights and Complex Proportional Assessment utilizes these weights to facilitate the decision process of selecting optimal ClSPs. (shrink)

Decision-making capacity (DMC) plays an important role in clinical practice—determining, on the basis of a patient’s decisional abilities, whether they are entitled to make their own medical decisions or whether a surrogate must be secured to participate in decisions on their behalf. As a result, it’s critical that we get things right—that our conceptual framework be well-suited to the task of helping practitioners systematically sort through the relevant ethical considerations in a way that reliably and transparently delivers correct (...) verdicts about who should and should not have the authority to make their own medical decisions. Unfortunately, however, the standard approach to DMC does not get things right. It is of virtually no help in identifying and clarifying the relevant ethical considerations. And, embedded in the prevailing anti-paternalist paradigm, DMC assessments obfuscate and distort the underlying ethical justification for granting or withholding decisional authority. Here, we describe the core commitments of the standard approach to DMC and then highlight three problems with it. We then argue that these problems are significant enough that they call for more than merely tinkering and fine tuning—variations of the standard approach cannot adequately address them. Instead, we should ditch DMC. (shrink)

Brand image constitutes one of the most salient, over-defined, heavily explored and multifariously operationalized conceptual constructs in marketing theory and practice. In this Chapter, definitions of brand image that have been offered by marketing scholars will be critically addressed in the context of a culturally oriented discussion, informed by the semiotic notion of iconicity. This cultural bend, in conjunction with the concept’s semiotic contextualization, are expected both to dispel terminological confusions in the either inter-changeable or fuzzily differentiated employment of such (...) terms as brand image, symbol, icon, as well as to address the function of brand image at a deeper level than a mere construct to be operationalized in quantitative studies of purchase drivers. This shift in focus is coupled with a critical turn from the cogito-centric view of the consuming subject through the cognitivist lens of the AI metaphor as decision-making centre at the origin of largely conscious meaning-making, in favor of a psychoanalytically informed approach that considers figurativity as an essential process whereby brand image is formed. In these terms, brand image will be intimately linked to brand images as figurative multimodal expressive units and rhetorical tropes, as figurative syntax, that are responsible for shaping an idiolectal brand language, as well as to distinctive levels of iconicity as textual condition of possibility of a brand language. In order to understand the role of iconicity as fundamental condition of brand textuality, rather than just a procedure for spawning brand images, the discussion is contextualized in a wider framework involving the culturally situated source of brand images, how they become correlated with brand image concepts and how correlations between brand images and brand image result in brand knowledge structures (Keller 1998). This opening up of the discussion on iconicity is enacted against the background of what I call the Brand Imaginarium which involves: (i) a critical engagement with the dominant cognitivist perspective in branding research that prioritizes individual memory in brand knowledge formation, through a cultural branding lens that involves two additional types of memory, viz. communicative and cultural (ii) a critical engagement with the cognitivist perspective on brand knowledge formation that prioritizes conscious processing of stimuli (as ‘brute facts’, rather than as already semiotized expressive units) in a cognitive mechanism from which the faculty of imagination has been expelled, by restoring the importance of imagination in brand knowledge formation, and, concomitantly, by showing that the highly figurative language of brands may not be researched thoroughly unless imagination is posited anew as processing correlate (iii) the adoption of an expansionist approach to the role of the imaginary in brand knowledge formation, from cognitive (or psychic) faculty, to a more sociologically inclined process of inter-subjective mirroring, and concomitantly as imaginary social significations (Castoriades 1985) that are shared by culturally conditioned and habituated subjects that engage in meaningful cultural practices, rather than individual processing monads. (shrink)

This article considers the meanings of “life” within Objectivist ethics. It distinguishes between life lived moment to moment and life-as-a-whole. It examines life's finality as related to life being the ultimate value. It questions whether one “lives to consume” or “consumes to live” from a desert island perspective. It discusses what one's whole life entails within the context of decision making. It looks at decisions between competing values. Finally, it discusses the distinction between ethical and ethically neutral actions (...) and suggests ways in which inquiries regarding these may be approached. (shrink)

This research explores the incorporation of narrative perspectives in economics as a social science and its implications for rethinking epistemology. By examining the role of narratives in economic analysis, the study highlights the advantages of narratives in providing contextualized accounts of human experiences, connecting economic concepts to real-world phenomena, and exploring diverse perspectives. It emphasizes the importance of interdisciplinary collaboration between philosophers, economists, and social scientists to gain a comprehensive understanding of narratives' influence on economic decision-making, market dynamics, (...) and consumer behaviour. The research suggests that narratives offer a means to challenge the notion of a single, objective truth and contribute to a more inclusive and robust framework for analyzing economic phenomena. The implications extend beyond economics, urging a broader perspective on epistemology by embracing narrative perspectives and engaging in interdisciplinary collaboration across disciplines. Overall, this research calls for a rethinking of epistemology, recognising the significance of narratives and their role in knowledge production. (shrink)

Recently, bioethicists and the UNCRPD have advocated for supported medical decision-making on behalf of patients with intellectual disabilities. But what does supported decision-making really entail? One compelling framework is Anita Silvers and Leslie Francis’ mental prosthesis account, which envisions supported decision-making as a process in which trustees act as mere appendages for the patient’s will; the trustee provides the cognitive tools the patient requires to realize her conception of her own good. We argue that (...) supported decision-making would be better understood as a collaborative process, giving patients with intellectual disabilities the opportunity to make decisions in a respectful relationship with trusted others. We offer an alternative account of supported decision-making where the primary constraint is to protect the patient from domination by the trustee. This is advantageous in its preservation of the prospects for genuine collaboration, for the mental prosthesis approach ultimately reinforces a problematic ideal of isolated patient self-determination. (shrink)

Decisions are made under uncertainty when there are distinct outcomes of a given action, and one is uncertain to which the act will lead. Decisions are made under indeterminacy when there are distinct outcomes of a given action, and it is indeterminate to which the act will lead. This paper develops a theory of (synchronic and diachronic) decision-making under indeterminacy that portrays the rational response to such situations as inconstant. Rational agents have to capriciously and randomly choose how (...) to resolve the indeterminacy relevant to a given choice-situation, but such capricious choices once made constrain how they will choose in the future. The account is illustrated by the case of self-interested action in situations where it is indeterminate whether you yourself will survive to benefit or suffer the consequences. The conclusion emphasizes some distinctive anti-hedging predictions of the account. (shrink)

Coffee and tea are two beverages commonly-consumed around the world. Therefore, there is much research regarding their physiological effects. However, less is known about their psychological meanings. Derived from a predicted lay association between coffee and arousal, we posit that exposure to coffee-related cues should increase arousal, even in the absence of actual ingestion, relative to exposure to tea-related cues. We further suggest that higher arousal levels should facilitate a concrete level of mental construal as conceptualized by Construal Level Theory. (...) In four experiments, we find that coffee cues prompted participants to see temporal distances as shorter and to think in more concrete, precise terms. Both subjective and physiological arousal explain the effects. We situate our work in the literature that connects food and beverage to cognition or decision-making. We also discuss the applied relevance of our results as coffee and tea are among the most prevalent beverages globally. (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)

Across two studies the hypotheses were tested that stressful situations affect both leadership ethical acting and leaders' recognition of ethical dilemmas. In the studies, decision makers recruited from 3 sites of a Swedish multinational civil engineering company provided personal data on stressful situations, made ethical decisions, and answered to stress-outcome questions. Stressful situations were observed to have a greater impact on ethical acting than on the recognition of ethical dilemmas. This was particularly true for situations involving punishment and lack (...) of rewards. The results are important for the Corporate Social Responsibility (CSR) of an organization, especially with regard to the analysis of the Stressors influencing managerial work and its implications for ethical behavior. (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)

The Universal Formula: Solving the Problem of Free Will Through the Law of Balance By Angelito Malicse Introduction The problem of free will has puzzled humanity for centuries, often viewed as a philosophical or metaphysical enigma. This essay presents a universal formula that resolves this dilemma by focusing on the law of karma and the universal law of balance. It explores the interconnectedness of systems, the critical role of accurate knowledge, and the evolution of emotions in maintaining harmony. By examining (...) real-world examples such as overpopulation, environmental degradation, economic instability, and the flaws of capitalism, this essay demonstrates how the universal formula can guide human decision-making to achieve a balanced and sustainable world. The Law of Karma: Systems and Balance The universal formula begins with the law of karma, which extends beyond cause and effect to encompass the integrity of systems, both natural and man-made. Every system—whether ecological, social, or economic—operates according to the universal law of balance. When imbalances arise, the system becomes dysfunctional, leading to adverse consequences. For example, while humans sit at the top of the food chain, the Earth's ecosystem cannot sustain unchecked overpopulation of our species. Overpopulation leads to the destruction of natural resources as humans consume everything, including plants, animals, and even insects. This voracious consumption damages ecosystems, accelerates deforestation, depletes biodiversity, and disrupts the delicate balance of the natural world. To ensure the sustainability of life on Earth, it is crucial to regulate population growth, conserve natural resources, and refrain from exploiting all animals on land and in the sea. By preserving biodiversity and maintaining the integrity of ecosystems, we protect the foundation of life that supports all species, including humans. Free Will and the Dependence on Correct Knowledge Human free will is not an autonomous force but is entirely dependent on correct knowledge and information. Errors in decision-making, often caused by ignorance, false beliefs, and distorted theories, disrupt the balance of systems. For instance, the failure to regulate overpopulation creates cascading problems, including climate change, pollution, and resource depletion. Without accurate knowledge about the consequences of overpopulation, individuals and societies continue to make decisions that exacerbate these imbalances. Education and government policy play vital roles in addressing these issues. Policies that promote population regulation can maintain a sustainable economy, while education fosters awareness of the need to protect ecosystems and biodiversity. Correct information empowers individuals to make decisions that align with the universal law of balance, preventing errors that destabilize systems. The Flaws of Capitalism and the Need for Balance The efficiency of the capitalistic system increases over time, leading to significant flaws if left unchecked. Private companies continually strive to reduce overhead and operating expenses, often by automating processes and replacing human labor with robotics. While this enhances profitability, it also reduces employment opportunities, suppresses wages, and widens income inequality. These principles, central to the management strategies of most private companies, create systemic imbalances in the economy. The solution lies in adopting a mixed economic system that counterbalances the excesses of capitalism with socialist principles. Governments must play a pivotal role in addressing these imbalances by implementing the following measures: Creating High-Salary Government Jobs: These jobs provide stable income and stimulate local economies. Providing Unemployment Benefits or Universal Basic Income (UBI): These measures ensure that individuals who lose jobs due to automation and efficiency gains still have the purchasing power to meet their needs. Offering Free Healthcare and Education: These fundamental services reduce the financial burden on families, enabling them to invest in other areas of life. Promoting Government Spending: By investing in infrastructure, renewable energy, and public services, governments can create new jobs and maintain the flow of money in the economy. Government spending serves as a balancing mechanism by injecting funds into the economy, which in turn supports private companies through increased consumer demand. This feedback loop creates private-sector jobs, stabilizes the economy, and ensures a balanced flow of resources between public and private sectors. The Role of Emotions in Balancing Systems Human emotions, both positive and negative, serve as essential feedback mechanisms for maintaining balance. Positive emotions, such as love and joy, encourage cooperative behavior and strengthen familial and social bonds. Negative emotions, such as fear and anger, signal imbalances that require corrective action. For example, the unconditional love within a family fosters a nurturing environment that supports the emotional and psychological development of children. This foundation contributes to a high-quality next generation of parents, capable of fostering further generational improvement. Conversely, the absence of such love or a dysfunctional family structure often leads to crime, substance abuse, and other societal problems. These negative outcomes are the effects of systemic imbalances, whether caused by poor parenting, economic hardship, or the lack of a government safety net. Addressing Environmental and Social Imbalances The universal formula underscores the importance of a holistic education system in addressing systemic imbalances. Education must instill values such as cleanliness, discipline, ethics, and good manners while fostering a respect for nature. Teaching children the importance of not harming wildlife and preserving ecosystems is critical to protecting biodiversity and ensuring a harmonious coexistence with other species. Government policies also play a crucial role. Regulations that protect natural resources, reduce pollution, and promote renewable energy can prevent environmental degradation. Policies that provide social safety nets can alleviate poverty and reduce crime by addressing the root causes of economic and social imbalance. The Importance of Holistic Systems Thinking The universal formula emphasizes the interconnectedness of systems, demonstrating that imbalances in one area often ripple through others. For instance, a lack of holistic education contributes to ignorance, which leads to poor decision-making. This, in turn, exacerbates issues such as overpopulation, resource depletion, and social unrest. Producing a high-quality young generation requires a combination of good parenting, access to education, and supportive government policies. By fostering an environment that values balance, discipline, and ethics, societies can produce individuals capable of making decisions that align with the universal law of balance. Conclusion The universal formula offers a comprehensive solution to the problem of free will by integrating the law of karma, the universal law of balance, and the evolutionary role of emotions. By understanding and addressing the root causes of imbalance—whether environmental, social, or economic—humanity can achieve harmony within and across systems. Real-world examples, such as overpopulation, economic instability, environmental destruction, and the flaws of capitalism, highlight the urgent need to apply this formula. Through holistic education, informed policies, and an unwavering commitment to balance, individuals and societies can prevent errors, correct existing imbalances, and create a sustainable and harmonious future. The time to act is now. By embracing the universal formula, humanity can unlock the full potential of free will, ensuring a balanced and equitable world for generations to come. ---. (shrink)

Machine intelligence already helps medical staff with a number of tasks. Ethical decision-making, however, has not been handed over to computers. In this proof-of-concept study, we show how an algorithm based on Beauchamp and Childress’ prima-facie principles could be employed to advise on a range of moral dilemma situations that occur in medical institutions. We explain why we chose fuzzy cognitive maps to set up the advisory system and how we utilized machine learning to train it. We report (...) on the difficult task of operationalizing the principles of beneficence, non-maleficence and patient autonomy, and describe how we selected suitable input parameters that we extracted from a training dataset of clinical cases. The first performance results are promising, but an algorithmic approach to ethics also comes with several weaknesses and limitations. Should one really entrust the sensitive domain of clinical ethics to machine intelligence? (shrink)

The stakes associated with an algorithmic decision are often said to play a role in determining whether the decision engenders a right to an explanation. More specifically, “high stakes” decisions are often said to engender such a right to explanation whereas “low stakes” or “non-high” stakes decisions do not. While the overall gist of these ideas is clear enough, the details are lacking. In this paper, we aim to provide these details through a detailed investigation of what we (...) will call the “Simple Stakes Thesis”. The Simple Stakes Thesis, as it will turn out, is too simple. For even if the stakes associated with a specific one-off decision are low—and hence does not engender a right to an explanation—such decisions may nevertheless form part of a high stakes pattern or aggregate of decisions. In such cases, we argue, even a low stakes decision may engender a right to explanation. Not only does this show that the right to explanation is more demanding than so far recognized. It also shows that the stakes thesis is significantly harder to apply in practice. (shrink)

This paper examines the relationship of ethical decision-making by individuals to corporate business ethics and organizational performance of three groups: SMEs, Outstanding SMEs and Large Enterprises, in order to provide a reference for Taiwanese entrepreneurs to practice better business ethics. The survey method involved random sampling of 132 enterprises within three groups. Some 524 out of 1320 questionnaires were valid. The survey results demonstrated that ethical decision-making by individuals, corporate business ethics and organizational performance are highly (...) related. In summary, then, high levels of organizational performance were directly attributable to high levels of applied corporate and individual ethics. Furthermore, there is a demonstrable tendency for Outstanding SMEs to reject ethically unsound practices such as padded expense accounts, tax evasion and misleading advertising. The measurement criteria used to assess organizational performance, however, did not include an objective evaluation of financial performance. (shrink)

In this paper, we define correlation coefficient measure between any two rough neutrosophic sets. We also prove some of its basic properties.. We develop a new multiple attribute group decision making method based on the proposed correlation coefficient measure. An illustrative example of medical diagnosis is solved to demonstrate the applicability and effecriveness of the proposed method.

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)

The global pandemic of COVID 19 has changed consumer behaviour to reduce the risk. This is common for all interpersonal interactions of individuals especially in maintaining the recommended interpersonal distance based on the recommendations from the health experts. Sri Lanka as a developing country affected by COVID 19, observed changes in individuals' day today’ consumption decision making due to pandemic. Importantly the retailing sector is highly influenced by the conditions since the frequency of interpersonal interactions and degree (...) of interaction is higher in the retailing sector. Interestingly the retailing sector with its largest contributor, the SMEs need to identify the unique changes that happen to the consumer behaviour in responding to them. Accordingly, the objective of the study is to examine the impact of infectious disease risk on the perceived retail crowding in two perspectives of human density and the spatial density. The study has used a quantitative survey in collecting data with the online self-administrated questionnaire with a sample of 100 consumers. Data analysis has been done by using a PLS-SEM with the support of SmartPLS version 3. The key findings of the study emphasize the significant positive influence of infectious disease risk on human density as well as on the spatial density. Based on the findings the study attempts to provide the implications for the retailing industry to cope with situational changes in the environment. (shrink)

The study aimed to identify the reality of decision-making in the local NGOs in Gaza Strip. In order to achieve the objectives of the study and to test its hypotheses, the analytical descriptive method was used, relying on the questionnaire as a main tool for data collection. The study society was one of the decision makers in the local NGOs in Gaza Strip. The study population reached 78 local NGOs in Gaza Strip. A Census Method of the (...) possible study community was adopted, and the use of the Statistical Package for Social Sciences (SPSS) was mainly based on the analysis and analysis of the data obtained through the survey tool. The study reached a set of results, the most important of which are: NGOs follow a decision-making mechanism. NGOs examine the problems and causes of the organization. Organizations are less concerned with stakeholder participation. Make decision. The main recommendations of the study are: To promote systematic methods of decision-making in NGOs in Gaza Strip: Local NGOs in Gaza Strip should continue to develop their competencies in order to make sound and correct decisions and encourage them to follow the scientific methodologies in the mechanism of taking Decisions. (shrink)

In recent years there has been an explosion of interest in Artificial Intelligence (AI) both in health care and academic philosophy. This has been due mainly to the rise of effective machine learning and deep learning algorithms, together with increases in data collection and processing power, which have made rapid progress in many areas. However, use of this technology has brought with it philosophical issues and practical problems, in particular, epistemic and ethical. In this paper the authors, with backgrounds in (...) philosophy, maternity care practice and clinical research, draw upon and extend a recent framework for shared decision-making (SDM) that identified a duty of care to the client's knowledge as a necessary condition for SDM. This duty entails the responsibility to acknowledge and overcome epistemic defeaters. This framework is applied to the use of AI in maternity care, in particular, the use of machine learning and deep learning technology to attempt to enhance electronic fetal monitoring (EFM). In doing so, various sub-kinds of epistemic defeater, namely, transparent, opaque, underdetermined, and inherited defeaters are taxonomized and discussed. The authors argue that, although effective current or future AI-enhanced EFM may impose an epistemic obligation on the part of clinicians to rely on such systems' predictions or diagnoses as input to SDM, such obligations may be overridden by inherited defeaters, caused by a form of algorithmic bias. The existence of inherited defeaters implies that the duty of care to the client's knowledge extends to any situation in which a clinician (or anyone else) is involved in producing training data for a system that will be used in SDM. Any future AI must be capable of assessing women individually, taking into account a wide range of factors including women's preferences, to provide a holistic range of evidence for clinical decision-making. (shrink)

This paper explores the defects in fuzzy (hyper) graphs (as complex (hyper) networks) and extends the fuzzy (hyper) graphs to fuzzy (quasi) superhypergraphs as a new concept.We have modeled the fuzzy superhypergraphs as complex superhypernetworks in order to make a relation between labeled objects in the form of details and generalities. Indeed, the structure of fuzzy (quasi) superhypergraphs collects groups of labeled objects and analyzes them in the form of the part to part of objects, the part of objects to (...) the whole group of objects, and the whole to the whole group of objects at the same time. We have investigated the properties of fuzzy (quasi) superhypergraphs based on any positive real number as valued fuzzy (quasi) superhypergraphs, considering the complement of valued fuzzy (quasi) superhypergraphs, the notation of isomorphism of valued fuzzy (quasi) superhypergraphs based on the permutations, and we have presented the isomorphic conditions of (self complemented) valued fuzzy (quasi) superhypergraphs. The concept of impact membership value of fuzzy (quasi) superhypergraphs is introduced in this study and it is applied in designing the real problem in the real world. Finally, the problem of business superhypernetworks is presented as an application of fuzzy valued quasi superhypergraphs in the real world. (shrink)

Consumers are increasingly able to easily access health information online about food products. However, consumers have difficulty identifying reliable health information from diverse sources along with information about the coronavirus disease (COVID-19) pandemic because the inundation of information (both true and false) overwhelm consumers. We investigated the usefulness of a checklist confirmation scheme for identifying unreliable COVID-19-related health information. Data were collected from June 30–July 1, 2021. First, we measured 700 participants’ baseline health literacy levels by having them read unreliable (...) health information about the efficacy of green tea intake in preventing COVID-19 based on the results of animal experimentation. Second, participants read an explanation with a five-step flowchart of how to identify reliable health information. Thereafter, we remeasured participants’ health literacy levels. To identify the factors hindering the effect of the confirmation scheme, a logistic regression analysis was performed to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Overall, 77.9% (293/376) of those with low health literacy levels at baseline still had low literacy after the intervention. The factor that hindered the confirmation scheme’s usefulness was benefit perceptions of food ingredients (OR: 0.493; 95% CI: 0.252–0.966). Consumers with higher benefit perceptions of a target product faced more difficulties using the confirmation scheme effectively. Therefore, the most effective strategies involve filtering information at the organizational level rather than the individual level, which should help consumers correctly identify misinformation concerning food and health and promote accurate decision-making. (shrink)

Albert Jonsen and Stephen Toulmin have argued that the best way to resolve complex “moral” issues in clinical settings is to focus on the details of specific cases. This approach to medical decision-making, labeled ‘casuistry’, has met with much criticism in recent years. In response to this criticism, Carson Strong has attempted to salvage much of Jonsen’s and Toulmin’s version of casuistry. He concludes that much of their analysis, including Jonsen’s further elaboration about the casuistic methodology, is on (...) the mark. In this essay, the details of Jonsen’s and Toulmin’s version of casuistry and the major criticisms against their approach to clinical decision-making are explicated. Furthermore, it is argued that Strong’s salvage efforts fail to deflect these criticisms. The upshot of this analysis, which includes a few additional criticisms, is that Jonsen’s and Toulmin’s version of casuistry is not an appropriate framework from which to resolve complex “moral” issues in clinical settings. (shrink)

The authors of the book have come to the conclusion that it is necessary to effectively use the methodological tools for assessing the competitiveness of financial and insurance markets, methodological approaches to assessing the effectiveness of regional policy, internal audit of resources. Basic research is aimed at researching the main trends in the international economy, socialization of global economic development, investment aspects of development countries, functioning of consumer market in the international economic system, trends of international population migration, processes (...) of European integration in the field of energy efficiency. The research results have been implemented in the different models of the behavior of the economic system in the conditions of crisis, provision competitiveness of national economy in the face of increasing burden of public debt. The results of the study can be used in decision-making at the level of international business, ministries and departments that regulate international relations, ensuring security and overcoming risks. The results can also be used by students and young scientists in modern concepts of the formation of international economic relations in the context of strengthening European integration processes and globalization of the economy. (shrink)

This essay investigates, via the concepts of the philosophy of orientation, Annie Duke’s decision-making theory in "Thinking in Bets" and scrutinizes as to what extent one can universalize the 'orientation skill' of decision-making with regard to our everyday and professional life.

In this paper, the sine, cosine and cotangent similarity measures of interval rough neutrosophic sets is proposed. Some properties of the proposed measures are discussed. We have proposed multi attribute decision making approaches based on proposed similarity measures. To demonstrate the applicability, a numerical example is solved.