Results for ' risk measures'

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  1.  5
    Credit Risk Measurement, Decision Analysis, Transformation and Upgrading for Financial Big Data.Wenshuai Wu - 2022 - Complexity 2022:1-8.
    There is no well-built theory on credit risk measurement and decision analysis for financial big data, and an effective and scientific evaluation system for them has not been formed. A review of them can contribute to grasping the abovementioned topics, understanding current issues, analyzing research problems, mastering research challenges, and predicting future research directions. Besides, this paper points out four research directions of credit risk measurement and decision analysis for financial big data. Moreover, this paper can provide some (...)
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  2.  48
    A portfolio of risk measures.Kenneth R. Maccrimmon & Donald A. Wehrung - 1985 - Theory and Decision 19 (1):1-29.
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  3.  13
    Risk-averse optimization of reward-based coherent risk measures.Massimiliano Bonetti, Lorenzo Bisi & Marcello Restelli - 2023 - Artificial Intelligence 316 (C):103845.
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  4.  33
    The long-term extreme price risk measure of portfolio in inventory financing: An application to dynamic impawn rate interval.Juan He, Jian Wang, Xianglin Jiang, Xiangfeng Chen & Lei Chen - 2015 - Complexity 20 (5):17-34.
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  5.  10
    Risk-averse receding horizon motion planning for obstacle avoidance using coherent risk measures.Anushri Dixit, Mohamadreza Ahmadi & Joel W. Burdick - 2023 - Artificial Intelligence 325 (C):104018.
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  6.  27
    Disentangling Risk and Uncertainty: When Risk-Taking Measures Are Not About Risk.Kristel De Groot & Roy Thurik - 2018 - Frontiers in Psychology 9:342416.
    Many studies claim to measure decision-making under risk by employing the Domain-Specific Risk-Taking (DOSPERT) scale, a self-report measure, or the Balloon Analogue Risk Task (BART), a behavioural task. However, these tasks do not measure decision-making under risk but decision-making under uncertainty, a related but distinct concept. The present commentary discusses both the theoretical and empirical basis of the distinction between uncertainty and risk from the viewpoint of several scientific disciplines and reports how many studies wrongfully (...)
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  7.  42
    Developing more useful equity measurements for flood-risk management.Adam Pollack, Casey Helgeson, Carolyn Kousky & Klaus Keller - forthcoming - Nature Sustainability.
    Decision-makers increasingly invoke equity to motivate, design, implement, and evaluate strategies for managing flood risks. But there is no objective definition of equity. This pluralistic setting calls for transparency about underlying values, but this practice is uncommon. Here, we review how equity is measured by surveying peer-reviewed publications that explicitly state an interest in equity in the context of flood-risk management. We develop a simple taxonomy for how transparent measurements can be defined. We map reviewed measurements to this taxonomy. (...)
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  8. Measuring Belief and Risk Attitude.Sven Neth - 2019 - Electronic Proceedings in Theoretical Computer Science 297:354–364.
    Ramsey (1926) sketches a proposal for measuring the subjective probabilities of an agent by their observable preferences, assuming that the agent is an expected utility maximizer. I show how to extend the spirit of Ramsey's method to a strictly wider class of agents: risk-weighted expected utility maximizers (Buchak 2013). In particular, I show how we can measure the risk attitudes of an agent by their observable preferences, assuming that the agent is a risk-weighted expected utility maximizer. Further, (...)
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  9.  5
    Measuring Environmental Health Risks: The Negotiation of a Public Right-to-Know Law.Joshua Dunsby - 2004 - Science, Technology, and Human Values 29 (3):269-290.
    Quantitative health risk assessment is a procedure for estimating the likelihood that exposure to environmental contaminants will produce certain adverse health effects, most commonly cancer. One instance of its use has been a California air toxics public “right-to-know” law. This article examines the ways in which credible health risk measurements were produced and challenged during the implementation of the California public policy. Fieldwork and documentary analysis finds that stakeholders negotiated within the formal constraints of the risk assessment (...)
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  10. Inductive Risk and Values in Composite Outcome Measures.Roger Stanev - 2017 - In Kevin Christopher Elliott & Ted Richards (eds.), Exploring Inductive Risk: Case Studies of Values in Science. New York: Oup Usa.
    The use of composite outcomes is becoming widespread in clinical trials. By combining individual outcome measures into a composite, researchers claim a composite can increase statistical precision and trial efficiency, expediting the trial by reducing sample size and cost, and consequently enabling researchers to answer questions that could not otherwise be answered. Another rationale given for using a composite is that it provides a measure of the net effect of the intervention that is more patient-relevant than any single outcome (...)
     
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  11.  13
    Muddled Measures of Risks and Misremembered Reasons.John D. Lantos & Chris Feudtner - 2015 - Hastings Center Report 45 (3):4-5.
    A commentary on “Were There ‘Additional Foreseeable Risks’ in the SUPPORT Study?,” by Henry J. Silverman and Didier Dreyfuss; “SUPPORT: Risks, Harms, and Equipoise,” by Robert M. Nelson; “The Controversy over SUPPORT Continues and the Hyperbole Increases,” by Alan R. Fleischman; and “SUPPORT and Comparative Effectiveness Trials: What's at Stake?,” by Lois Shepherd, all in the January‐February 2015 issue.
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  12.  42
    The risk aversion measure without the independence axiom.Aldo Montesano - 1988 - Theory and Decision 24 (3):269-288.
  13.  19
    Measuring excess risk of child mortality: An exploration of dhs I for burundi, uganda and zimbabwe.Christine Mcmurray - 1997 - Journal of Biosocial Science 29 (1):73-91.
    This paper proposes a new method of measuring excess risk of child mortality in cross-sectional surveys, which is applied to DHS I data for Burundi, Uganda and Zimbabwe. The expected child mortality experience is estimated for each mother on the basis of child's age, mother's age at child's birth and her parity, and compared with her observed experience. Mothers who exceed their expected child mortality experience and also had more than one child die are considered to have excess child (...)
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  14.  4
    Addressing Risk Situations through Measures Designed to Prevent and Combat Social Exclusion of Romanian Children from Transnational Families.Aniela Matei & Cristina Stroe - 2022 - Postmodern Openings 13 (3):71-85.
    The phenomenon of transnational families is a topical issue on the European Union's family policy agenda, especially in the context of the Sustainable Development Goals and the Europe 2020 Strategy. Romania, not only as a member state of the European Union, but also as a country directly affected by the scale of this phenomenon, must include in the public family policy the issue of transnational families and provide solutions for these families. Starting from the identification of the risk factors (...)
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  15.  5
    Measuring Sports’ Perceived Benefits and Aggression-Related Risks: Karate vs. Football.Teresa Limpo & Sid Tadrist - 2021 - Frontiers in Psychology 11.
    Little is known about people’s perceived benefits and risks of sports, despite their role in shaping people’s intentions to engage in them. Here, we developed and tested a scale to measure perceived physical, emotional, cognitive, and social benefits as well as aggression-related risks of karate and football. Additionally, we compared these perceptions within and between these two sports, as well as among undergraduates with current/former participation in different types of physical activity. After a literature review, we created a 5-factor scale (...)
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  16.  28
    Aging biomarkers and the measurement of health and risk.Sara Green & Line Hillersdal - 2021 - History and Philosophy of the Life Sciences 43 (1):1-23.
    Prevention of age-related disorders is increasingly in focus of health policies, and it is hoped that early intervention on processes of deterioration can promote healthier and longer lives. New opportunities to slow down the aging process are emerging with new fields such as personalized nutrition. Data-intensive research has the potential to improve the precision of existing risk factors, e.g., to replace coarse-grained markers such as blood cholesterol with more detailed multivariate biomarkers. In this paper, we follow an attempt to (...)
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  17. Measuring risk aversion with lists: a new bias. [REVIEW]Antoni Bosch-Domènech & Joaquim Silvestre - 2013 - Theory and Decision 75 (4):465-496.
    Various experimental procedures aimed at measuring individual risk aversion involve a list of pairs of alternative prospects. We first study the widely used method by Holt and Laury :1644–1655, 2002), for which we find that the removal of some items from the lists yields a systematic decrease in risk aversion and scrambles the ranking of individuals by risk aversion. This bias, that we call embedding bias, is quite distinct from other confounds that have been previously observed in (...)
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  18.  95
    Stability of risk preference measures: results from a field experiment on French farmers.Arnaud Reynaud & Stéphane Couture - 2012 - Theory and Decision 73 (2):203-221.
    We compare two different elicitation methods for measuring risk attitudes on a sample of French farmers. We consider the lottery tasks initially proposed by Holt and Laury (Econ Rev 92:1644–1655, 2002) and by Eckel and Grossman (Evol Hum Behav 23:281–295, 2002; J Econ Behav Org 68:1–7, 2008). The main empirical result from this within-subject study is that risk preference measures are affected by the type of mechanism used. We first show that this risk preference instability can (...)
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  19.  5
    Measurement Invariance of a Classroom Engagement Measure among Academically At-Risk Students.Ryan Glaman & Qi Chen - 2018 - Frontiers in Psychology 8.
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  20.  17
    Fuzzy risk perception: Correlates of “fuzzy” and specific measures of outcome likelihood in young drinkers.Stephen L. Brown, Leanne Nowlan, Paul J. Taylor & Andy M. Morley - 2013 - Journal of Experimental Psychology: Applied 19 (2):120.
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  21.  6
    Stability of Risk Preferences During COVID-19: Evidence From Four Measurements.Peilu Zhang & Marco A. Palma - 2022 - Frontiers in Psychology 12.
    This article studies the stability of risk-preference during the COVID-19 pandemic. The results differ between risk-preference measurements and also men and women. We use March 13, 2020, when President Trump declared a national state of emergency as a time anchor to define the pre-pandemic and on-pandemic periods. The pre-pandemic experiment was conducted on February 21, 2020. There are three on-pandemic rounds conducted 10 days, 15 days, and 20 days after the COVID-19 emergency declaration. We include four different (...)-preference measures. Men are more sensitive to the pandemic and become more risk-averse based on the Balloon Analogue Risk Task. Women become more risk-averse in the Social and Experience Seeking domains based on the results from the Domain-Specific Risk-Taking and Sensation Seeking Scales. Both men's and women's risk-preference are stable during COVID-19 based on a Gamble Choice task. The results match our hypotheses which are based on the discussion about whether the psychological construct of risk-preference is general or domain-specific. The differential outcomes between incentivized behavioral and self-reported propensity measures of risk-preference in our experiment show the caveats for studies using a single measure to test risk-preference changes during COVID-19. (shrink)
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  22.  19
    How to measure motivation to change risk behaviours in the self-determination perspective? The Polish adaptation of the Treatment Self-Regulation Questionnaire (TSRQ) among patients with chronic diseases.Joanna Syska-Sumińska, Maria Jurczyk, Maciej Januszek & Jolanta Życińska - 2012 - Polish Psychological Bulletin 43 (4):261-271.
    The aim of this study was to validate the Polish adaptation of the Treatment Self-Regulation Questionnaire, which measures the degree of self-determination in risk behaviour changes. The study comprised 219 patients, beginning to undergo treatment. The Global Motivation Scale was used to test a convergent validity. The confirmatory factor analysis did not support the theoretical four-factor model, thus an exploratory analysis was conducted to determine an optimal model across risk behaviours. The adopted two-factor model matched original TSRQ (...)
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  23.  21
    Inclusive Communities, Exclusive Theologies: Measuring the Risks of Interreligious Dialogue.Rumee Ahmed - 2014 - Modern Theology 30 (1):140-145.
  24. Characterizing and Measuring Maliciousness for Cybersecurity Risk Assessment.Zoe M. King, Diane S. Henshel, Liberty Flora, Mariana G. Cains, Blaine Hoffman & Char Sample - 2018 - Frontiers in Psychology 9.
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  25.  42
    Several possible measures of risk.R. Duncan Luce - 1980 - Theory and Decision 12 (3):217-228.
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  26. Assessing the Risk of Stress in Organizations: Getting the Measure of Organizational-Level Stressors.Stephen Wood, Valerio Ghezzi, Claudio Barbaranelli, Cristina Di Tecco, Roberta Fida, Maria Luisa Farnese, Matteo Ronchetti & Sergio Iavicoli - 2019 - Frontiers in Psychology 10.
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  27.  20
    Using Survey Measures to Assess Risk Selection among Medicare Managed Care Plans.Alan M. Zaslavsky & Melinda J. Beeuwkes Buntin - 2002 - Inquiry: The Journal of Health Care Organization, Provision, and Financing 39 (2):138-151.
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  28. Epistemic Risk and the Demands of Rationality.Richard Pettigrew - 2022 - Oxford, UK: Oxford University Press.
    How much does rationality constrain what we should believe on the basis of our evidence? According to this book, not very much. For most people and most bodies of evidence, there is a wide range of beliefs that rationality permits them to have in response to that evidence. The argument, which takes inspiration from William James' ideas in 'The Will to Believe', proceeds from two premises. The first is a theory about the basis of epistemic rationality. It's called epistemic utility (...)
  29.  28
    Correction to?several possible measures of risk?R. Duncan Luce - 1981 - Theory and Decision 13 (4):381-381.
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  30.  29
    Why It Is Wrong to Use Student Evaluations of Professors as a Measure of Teaching Effectiveness in Personnel Assessments: An Unjust Risk of Harm Account.Eamon Aloyo - 2023 - Public Affairs Quarterly 37 (2):79-100.
    I argue that university supervisors should not use student evaluations of teachers (SETs) as a measure of teaching effectiveness in personnel assessments because the evidence suggests SETs likely violate several duties university supervisors have toward their instructional employees. I focus on the duty to not knowingly impose a wrongful risk of harm on nonconsenting and innocent others. Many university employers impose a wrongful risk of harm on instructors by not using relevant, merit-based performance indicators that have adequate construct (...)
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  31.  9
    Hitting the target and missing the point? On the risks of measuring women’s empowerment in agricultural development.Katie Tavenner & Todd A. Crane - 2022 - Agriculture and Human Values 39 (3):849-857.
    There is a strong impetus in international agricultural development to close ‘gender gaps’ in agricultural productivity. The goal of empowering women is often framed as the solution to closing these gaps, stimulating the proliferation of new indicators and instruments for the targeting, measurement, and tracking of programmatic goals in research for agricultural development. Despite these advances, current measurements and indices remain too simplified in terms of unit and scope of analysis, as well as being fundamentally flawed in how they aim (...)
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  32.  44
    The Risk GP Model: The standard model of prediction in medicine.Jonathan Fuller & Luis J. Flores - 2015 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 54:49-61.
    With the ascent of modern epidemiology in the Twentieth Century came a new standard model of prediction in public health and clinical medicine. In this article, we describe the structure of the model. The standard model uses epidemiological measures-most commonly, risk measures-to predict outcomes (prognosis) and effect sizes (treatment) in a patient population that can then be transformed into probabilities for individual patients. In the first step, a risk measure in a study population is generalized or (...)
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  33.  15
    Suicide-preventive compulsory admission is not a proportionate measure – time for clinicians to recognise the associated risks.Antoinette Lundahl - forthcoming - Monash Bioethics Review:1-14.
    Suicide is considered a global public health issue and compulsory admission is a commonly used measure to prevent suicide. However, the practice has been criticised since several studies indicate that the measure lacks empirical support and may even increase suicide risk. This paper investigates whether the practice has enough empirical support to be considered proportionate. To that end, arguments supporting compulsory admission as a suicide-preventive measure for most suicidal patients are scrutinized. The ethical point of departure is that the (...)
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  34. Measuring effectiveness.Jacob Stegenga - 2015 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 54:62-71.
    Measuring the effectiveness of medical interventions faces three epistemological challenges: the choice of good measuring instruments, the use of appropriate analytic measures, and the use of a reliable method of extrapolating measures from an experimental context to a more general context. In practice each of these challenges contributes to overestimating the effectiveness of medical interventions. These challenges suggest the need for corrective normative principles. The instruments employed in clinical research should measure patient-relevant and disease-specific parameters, and should not (...)
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  35.  8
    A simple non-parametric method for eliciting prospect theory's value function and measuring loss aversion under risk and ambiguity.Pavlo Blavatskyy - 2021 - Theory and Decision 91 (3):403-416.
    Prospect theory emerged as one of the leading descriptive decision theories that can rationalize a large body of behavioral regularities. The methods for eliciting prospect theory parameters, such as its value function and probability weighting, are invaluable tools in decision analysis. This paper presents a new simple method for eliciting prospect theory’s value function without any auxiliary/simplifying parametric assumptions. The method is applicable both to choice under ambiguity (Knightian uncertainty) and risk (when events are characterized by objective probabilities). Our (...)
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  36.  14
    Streamlined versus traditional consent for low-risk comparative effectiveness trials: a randomized experimental study to measure patients' and public attitudes.Nancy Kass, Ruth Faden, Stephanie Morain, Kristina Hallez, Rebecca Stametz, Amanda Milo & Deserae Clarke - 2022 - Journal of Comparative Effectiveness Research.
    Aim: Streamlining consent for low-risk comparative effectiveness research (CER) could facilitate research, while safeguarding patients' rights. Materials & methods: 2618 adults were randomized to one of seven consent approaches (six streamlined and one traditional) for a hypothetical, low-risk CER study. A survey measured understanding, voluntariness, and feelings of respect. Results: Participants in all arms had a high understanding of the trial and positive attitudes toward the consent interaction. Highest satisfaction was with a streamlined approach showing a video before (...)
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  37. Legal risk, legal evidence and the arithmetic of criminal justice.Duncan Pritchard - 2018 - Jurisprudence 9 (1):108-119.
    It is argued that the standard way that the criminal justice debate regarding the permissible extent of wrongful convictions is cast is fundamentally flawed. In particular, it is claimed that there is an inherent danger in focussing our attention in this debate on different ways of measuring the probabilistic likelihood of wrongful conviction and then evaluating whether these probabilities are unacceptably high. This is because such probabilistic measures are clumsy ways of capturing the level of risk involved, to (...)
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  38. Risk-free approaches to the priority View.David McCarthy - 2013 - Erkenntnis 78 (2):421-449.
    Parfit advertised the priority view as a new and fundamental theory in the ethics of distribution. He never discusses risk, and many writers follow suit when discussing the priority view. This article formalizes two popular arguments for a commonly accepted risk-free definition of the priority view. One is based on a direct attempt to define the priority view, the other is based on a contrast with utilitarianism and egalitarianism. But neither argument succeeds, and more generally, it is not (...)
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  39.  28
    The patient's perspective on the need for informed consent for minimal risk studies: Development of a survey-based measure.Sherrie H. Kaplan, Adrijana Gombosev, Sheila Fireman, James Sabin, Lauren Heim, Lauren Shimelman, Rebecca Kaganov, Kathryn E. Osann, Thomas Tjoa & Susan S. Huang - 2016 - AJOB Empirical Bioethics 7 (2):116-124.
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  40.  9
    Nanoparticle Risks and Identification in a World Where Small Things Do Not Survive.Erik Reimhult - 2017 - NanoEthics 11 (3):283-290.
    The risks of materials containing nanoscale components are in the public debate discussed as if a manufactured nanomaterial will remain invariant with time and environmental exposure, and as if we can identify its risks by the risks of its nanoscale components. Additionally, the debate on mitigation of specific nanorisks by new legislation implicitly assumes that we can have full and accurate knowledge of the distribution and composition of nanomaterials in a product or the environment. In this discussion note, I argue (...)
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  41.  13
    Risk and Resilience Factors During the COVID-19 Pandemic: A Snapshot of the Experiences of Canadian Workers Early on in the Crisis.Simon Coulombe, Tyler Pacheco, Emily Cox, Christine Khalil, Marina M. Doucerain, Emilie Auger & Sophie Meunier - 2020 - Frontiers in Psychology 11.
    Research highlights several risk and resilience factors at multiple ecological levels that influence individuals’ mental health and wellbeing in their everyday lives and, more specifically, in disaster or outbreak situations. However, there is limited research on the role of these factors in the early days of the COVID-19 crisis. The present study examined if and how potential risk factors and resilience factors are associated with mental health and well-being outcomes, and whether these resilience factors buffer the associations between (...)
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  42.  9
    Risk Perceptions and Psychological Effects During the Italian COVID-19 Emergency.Tiziana Lanciano, Giusi Graziano, Antonietta Curci, Silvia Costadura & Alessia Monaco - 2020 - Frontiers in Psychology 11.
    The current study provides data about the immediate risk perceptions and psychological effects of the COVID-19 pandemic among Italian participants. A sample of 1034 volunteers answered a web-based survey which aimed to investigate the many facets of risk perceptions connected to COVID-19 (health, work, economy, social and psychological), and risk-related variables such as knowledge, news seeking, perceived control, efficacy of containment measures, and affective states. Socio-demographic characteristics were also collected. Results showed that although levels of general (...)
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  43.  25
    Minimal risk revisited: the ethics of clinical research with children.Ariella Binik - unknown
    One of the central problems concerning research with children is the delineation of appropriate levels of risk exposure. In the U.S. Code of Federal Regulations, the "minimal risk" concept serves as an anchoring measure for allowable risk. While the regulations sought to promote a balance between scientific advances and the protection of children's vulnerable status, ambiguities in the language of the regulations and the regulatory definition of "minimal risk" have given rise to a great deal of (...)
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  44.  36
    Stakeholder Risk as Experienced by Non-Shareholder Stakeholders.Whitney Davis & Harry J. van Buren Iii - 2007 - Proceedings of the International Association for Business and Society 18:431-436.
    In this paper, we explore the interests of non-shareholder stakeholders in the context of a shareholder risk model. We first differentiate shareholders and nonshareholders with regard to the nature of their risks, their awareness of risks, their abilities to avoid risk, and their abilities to ensure compensation for risk. We then develop a model of measuring the risks facing stakeholders that addresses human risk magnitude and environmental risk magnitude. We conclude with implications for theory and (...)
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  45. Stakeholder Risk as Experienced by Non-Shareholder Stakeholders: An Ethical Analysis and Risk Magnitude Model.Whitney Davis & Harry J. Van Buren Iii - 2007 - Proceedings of the International Association for Business and Society 18:431-436.
    In this paper, we explore the interests of non-shareholder stakeholders in the context of a shareholder risk model. We first differentiate shareholders and nonshareholders with regard to the nature of their risks, their awareness of risks, their abilities to avoid risk, and their abilities to ensure compensation for risk. We then develop a model of measuring the risks facing stakeholders that addresses human risk magnitude and environmental risk magnitude. We conclude with implications for theory and (...)
     
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  46. Risk and Tradeoffs.Lara Buchak - 2014 - Erkenntnis 79 (S6):1091-1117.
    The orthodox theory of instrumental rationality, expected utility (EU) theory, severely restricts the way in which risk-considerations can figure into a rational individual's preferences. It is argued here that this is because EU theory neglects an important component of instrumental rationality. This paper presents a more general theory of decision-making, risk-weighted expected utility (REU) theory, of which expected utility maximization is a special case. According to REU theory, the weight that each outcome gets in decision-making is not the (...)
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  47. An Inductive Risk Account of the Ethics of Belief.Guy Axtell - 2019 - Philosophy. The Journal of the Higher School of Economic 3 (3):146-171.
    From what norms does the ethics of belief derive its oughts, its attributions of virtues and vices, responsibilities and irresponsibilities, its permissioning and censuring? Since my inductive risk account is inspired by pragmatism, and this method understands epistemology as the theory of inquiry, the paper will try to explain what the aims and tasks are for an ethics of belief, or project of guidance, which best fits with this understanding of epistemology. More specifically, this chapter approaches the ethics of (...)
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  48.  41
    Some extensions of Luce's measures of risk.Rakesh K. Sarin - 1987 - Theory and Decision 22 (2):125-141.
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  49.  19
    Computer programs to estimate overoptimism in measures of discrimination for predicting the risk of cardiovascular diseases.Haider R. Mannan & John J. McNeil - 2013 - Journal of Evaluation in Clinical Practice 19 (2):358-362.
  50. Vaccination, Risks, and Freedom: The Seat Belt Analogy.Alberto Giubilini & Julian Savulescu - forthcoming - Public Health Ethics:phz014.
    We argue that, from the point of view public health ethics, vaccination is significantly analogous to seat belt use in motor vehicles and that coercive vaccination policies are ethically justified for the same reasons why coercive seat belt laws are ethically justified. We start by taking seriously the small risk of vaccines’ side effects and the fact that such risks might need to be coercively imposed on individuals. If millions of individuals are vaccinated, even a very small risk (...)
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