The purpose of this article is to present a new distributed interactive career decision-making framework in which person and context together determine the development of a sustainable career. We build upon recent theories from two disciplines: decision theory and career theory. Our new conceptual framework incorporates distributed stakeholders into the career decision-making process and suggests that individuals make decisions through a system of distributed agency, in which they interact with their context to make each (...) career decision, at varying levels of participation, from proactive to reactive. We focus on two key career decision-making drivers originating from the person, and two key drivers from the career context. This manuscript challenges the individual-driven approach to career development, and instead proposes that a process of distributed career decision-making takes place between each person and the various stakeholders, both individual and institutional, that also drive their career. Career seekers and counselors can use this framework to supplement an individual-focused approach and incorporate the role of distributed decision-makers in sustaining an individual’s career. Empirical research is needed to explore and test the applicability of the framework to career decisions in practice. (shrink)

Recent research indicates that angry facial expressions are preferentially processed and may facilitate automatic avoidance response, especially in socially anxious individuals. However, few studies have examined whether this bias also expresses itself in more complex cognitive processes and behavior such as decision making. We recently introduced a variation of the Iowa Gambling Task which allowed us to document the influence of task-irrelevant emotional cues on rational decision making. The present study used a modified gambling task to (...) investigate the impact of angry facial expressions on decision making in 38 individuals with a wide range of social anxiety. Participants were to find out which choices were (dis-) advantageous to maximize overall gain. To create a decision conflict between approach of reward and avoidance of fear-relevant angry faces, advantageous choices were associated with angry facial expressions, whereas disadvantageous choices were associated with happy facial expressions. Results indicated that higher social avoidance predicted less advantageous decisions in the beginning of the task, i.e., when contingencies were still uncertain. Interactions with specific skin conductance responses further clarified that this initial avoidance only occurred in combination with elevated responses before choosing an angry facial expressions. In addition, an interaction between high trait anxiety and elevated responses to early losses predicted faster learning of an advantageous strategy. These effects were independent of intelligence, general risky decision-making, self-reported state anxiety, and depression. Thus, socially avoidant individuals who respond emotionally to angry facial expressions are more likely to show avoidance of these faces under uncertainty. This novel laboratory paradigm may be an appropriate analog for central features of social anxiety. (shrink)

The partitioned Bonferroni mean operator can efficiently aggregate inputs, which are divided into parts based on their interrelationships. To date, it has not been used to aggregate linguistic Pythagorean fuzzy numbers. In this paper, we extend the PBM operator and partitioned geometric Bonferroni mean operator to the linguistic Pythagorean fuzzy sets and use them to develop a novel multiattribute group decision-making model under the linguistic Pythagorean fuzzy environment. We first define some novel operational laws for LPFNs, which take (...) into consideration the interactions between the membership degree and nonmembership degree from two different LPFNs. Based on these novel operational laws, we put forward the interaction PBM operator, the weighted interaction PBM operator, the interaction PGBM operator, and the weighted interaction PGBM operator. Then, we study some properties of these proposed operators and discuss their special cases. Based on the proposed LPFWIPBM and LPFWIPGBM operators, a novel multiattribute group decision-making model is developed to process the linguistic Pythagorean fuzzy information. Finally, some illustrative examples are introduced to compare our proposed methods with the existing ones. (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)

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)

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)

Prior research has used an Interactive Landslide Simulator tool to investigate human decision making against landslide risks. It has been found that repeated feedback in the ILS tool about damages due to landslides causes an improvement in human decisions against landslide risks. However, little is known on how theories of learning from feedback would account for human decisions in the ILS tool. The primary goal of this paper is to account for human decisions in the ILS tool (...) via computational models based upon reinforcement learning and to explore the model mechanisms involved when people make decisions in the ILS tool. Four different reinforcement-learning models were developed and evaluated in their ability to capture human decisions in an experiment involving two conditions in the ILS tool. The parameters of an Expectancy-Valence model, two Prospect-Valence-Learning models, a combination EV-PU model, and a random model were calibrated to human decisions in the ILS tool across the two conditions. Later, different models with their calibrated parameters were generalized to data collected in an experiment involving a new condition in ILS. When generalized to this new condition, the PVL-2 model’s parameters of both damage-feedback conditions outperformed all other RL models. We highlight the implications of our results for decision making against landslide risks. (shrink)

Moral pragmatism has been largely ignored in Business Ethics, despite its natural attraction and the fact that it is prominent in philosophy and socio-economic theories. The main premise of the book is that the complexity of today's business world does not permit a grand ethical theory, notwithstanding the different attempts made by scientists. Moral pragmatism is the 'go-to' approach where the ethical decision-making of managers varies dependent on different circumstances but it always integrates moral considerations. Ethical decision- (...) class='Hi'>making is no longer based simply on known rules, but entails the constant dynamic interaction of circumstances, the development of new rules, managers' past experiences, their knowledge concerning ethics, and skills of moral reasoning. This book interweaves the postmodern approach to management studies and, based on its innovative research, reintroduces moral pragmatism in Business Ethics. The combination of decision-making theories, philosophy and postmodernism paves the way for future novel research in Business Ethics, making it an excellent resource for researchers, academics, and advanced students in the field of Business Ethics. Practitioners, on the other hand, will benefit by improving their skills in ethical decision-making and leadership. (shrink)

Colman's reformulation of rational theory is challenged in two ways. Analogy-making is suggested as a possible candidate for an underlying and unifying cognitive mechanism of decision-making, one which can explain some of the paradoxes of rationality. A broader framework is proposed in which rationality is considered as an emerging property of analogy-based behavior.

Walton offers a comprehensive, flexible model for physician-patient decision making, the first such tool designed to be applied at the level of each particular case. Based on Aristotelian practical reasoning, it develops a method of reasonable dialogue, a question- and-answer process of interaction leading to informed consent on the part of the patient, and to a decision--mutually arrived at--reflecting both high medical standards and the patient's felt needs. After setting forth his model, he applies it to three (...) vital ethical issues: acts of omission, the cessation of treatment, and possible side effects of treatments. In the final chapter, Walton shows how his method functions in light of the real-life complexities of the clinical encounter and how it bears on ethical questions concerning health-care policy, attitudes toward treatment and toward the medical profession, reasonableness of expectations, and the setting of realistic goals of treatment. (shrink)

This article examines how people with type 2 diabetes perceive autonomous decision making and which moral capacities they consider important in diabetes nurses' support of autonomous decision making. Fifteen older adults with type 2 diabetes were interviewed in a nurse-led unit. First, the data were analysed using the grounded theory method. The participants described a variety of decision-making processes in the nurse and family care-giver context. Later, descriptions of the decision-making processes were (...) analysed using hermeneutic text interpretation. We suggest first- and second-order moral capacities that nurses specializing in diabetes need to promote the autonomous decision making of their patients. We recommend nurses to engage in ongoing, interactive reflective practice to further develop these moral capacities. (shrink)

Rational decision making depends on what one believes, what one desires, and what one knows. In conventional decision models, beliefs are represented by probabilities and desires are represented by utilities. Software agents are knowledgeable entities capable of managing their own set of beliefs and desires, and they can decide upon the next operation to execute autonomously. They are also interactive entities capable of filtering communications and managing dialogues. Knowledgeability includes representing knowledge about the external world, reasoning (...) with it, and sharing it. Interactions include negotiations to perform tasks in cooperative, coordinative, and competitive ways. In this paper we focus on decision-making mechanisms for agent-based systems on the basis of agent interaction. We identify possible interaction scenarios and define mechanisms for decision making in uncertain environments. It is believed that software agents will become the underlying technology that offers the capability of distribution of competence, control, and information for the next generation of ubiquitous, distributed, and heterogeneous information systems. (shrink)

In discussions of medical decision making as it applies to people with disabilities, a major obstacle stands in the way: the perceptions and values of disabled people and of many nondisabled people, regarding virtually the whole range of current health and medical-ethical issues, seem frequently to conflict with one another. This divergence in part grows out of the sense, common among people with disabilities, that their interactions with “the helping professions,” medical and social service professionals, are adversarial. But (...) those differences of opinion also stem more basically from a clash of fundamental values.This paper addresses, in historical perspective, the ways in which the status of persons with disabilities as a stigmatized minority group affects medical decision making. It also examines the efforts of disability rights activists to prevent discrimination against persons with disabilities in current medical culture. Finally, it raises questions about how the rights of people with disabilities will fare as new care standards are developed and implemented. (shrink)

In discussions of medical decision making as it applies to people with disabilities, a major obstacle stands in the way: the perceptions and values of disabled people and of many nondisabled people, regarding virtually the whole range of current health and medical-ethical issues, seem frequently to conflict with one another. This divergence in part grows out of the sense, common among people with disabilities, that their interactions with “the helping professions,” medical and social service professionals, are adversarial. But (...) those differences of opinion also stem more basically from a clash of fundamental values.This paper addresses, in historical perspective, the ways in which the status of persons with disabilities as a stigmatized minority group affects medical decision making. It also examines the efforts of disability rights activists to prevent discrimination against persons with disabilities in current medical culture. Finally, it raises questions about how the rights of people with disabilities will fare as new care standards are developed and implemented. (shrink)

Social norms can be understood as the grammar of social interaction. Like grammar in speech, they specify what is acceptable in a given context. But what are the specific rules that direct human compliance with the norm? This paper presents a quantitative model of self- and the other-perspective interaction based on a ‘quantum model of decision-making’, which can explain some of the ‘fallacies’ of the classical model of strategic choice. By connecting two fields of social science research—norms compliance, (...) and strategic decision-making—we aim to show how the novel quantum approach to the later can advance our understanding of the former. From the cacophony of different quantum models, we distill the minimal structure necessary to account for the known dynamics between the expectations and decisions of an actor. This model was designed for the strategic interaction of two players and successfully tested in the case of the one-shot Prisoners’ Dilemma game. Quantum models offer a new conceptual framework for examining the interaction between self- and other-perspective in the process of social interaction which enables us to specify how social norms influence individual behavior. (shrink)

Rationality in decision making is commonly assessed by comparing choice performance against normative standards. We argue that such a performance-centered approach blurs the distinction between rational choice and adaptive behavior. Instead, rational choice should be assessed with regard to the way individuals make analytic decisions. We suggest that analytic decisions can be made in two different modes in which control processes are directed at different levels. In a RUN mode, thought is directed at controlling the operation of a (...) decision strategy. In the JUMP mode, the individual analyses the interpretation of the decision situation as well as the appropriateness of alternative strategies. We suggest that a decision should be considered “rational” when an individual is able to switch between these modes and balance their interaction. (shrink)

Research on the cognitive abilities involved in decision making has shown that, under objective risk conditions (i.e., when explicit information about possible outcomes and risks is available), superior decisions are especially predicted by executive functions and exact number processing skills, also referred to as objective numeracy. So far, decision-making research has mainly focused on exact number processing skills, such as performing calculations or transformations of symbolic numbers. There is evidence that such exact numeric skills are based (...) on approximate number processing (ANP) skills, which enable quick and accurate processing of non-symbolic numbers (e.g. Chen and Li, 2014). Very few studies, however, have investigated ANP skills in the context of risky decision making and have analyzed direct associations among the aforementioned sub functions. Possible interactions between the closely related skills have not been considered. The current study (N = 128) examines interactions of ANP skills with executive functions and objective numeracy, in predicting risky choice behavior. ANP skills are represented by the accuracy in a dot-comparison task. Decision making is measured by two versions of the Game of Dice Task (GDT), which place different emphases on the reflection of potential risks. The results show two-way as well as three-way interactions between the measures of ANP skills, executive functions, and objective numeracy in predicting risky decisions in both GDT versions. The riskiest decisions were most frequently made in case of low scores in all of the three competencies, while good performance in any one of them resulted in significant reductions of disadvantageous decisions. The findings indicate that high ANP skills can positively affect choice behavior in individuals who have weaknesses in reflectively attributed skills, namely executive functions and objective numeracy. Potential compensatory effects and mechanisms of ANP in decision making are discussed. (shrink)

We develop a model of ethical decision making that integrates the decision-making process and the content variables considered by individuals facing ethical dilemmas. The process described in the model is drawn from Janis and Mann’s [1977, Decision Making: A Psychological Analysis of Conflict Choice and Commitment (The Free Press, New York)] work describing the decision process in an environment of conflict, choice and commitment. The model is enhanced by the inclusion of content variables (...) derived from the ethics literature. The resulting integrated model aids in understanding the complexity of the decision process used by individuals facing ethical dilemmas and suggests variable interactions that could be field-tested. A better understanding of the process will help managers develop policies that enhance the likelihood of ethical behavior in their organizations. (shrink)

In a range of contexts, individuals arrive at collective decisions by sharing confidence in their judgements. This tendency to evaluate the reliability of information by the confidence with which it is expressed has been termed the ‘confidence heuristic’. We tested two ways of implementing the confidence heuristic in the context of a collective perceptual decision-making task: either directly, by opting for the judgement made with higher confidence, or indirectly, by opting for the faster judgement, exploiting an inverse correlation (...) between confidence and reaction time. We found that the success of these heuristics depends on how similar individuals are in terms of the reliability of their judgements and, more importantly, that for dissimilar individuals such heuristics are dramatically inferior to interaction. Interaction allows individuals to alleviate, but not fully resolve, differences in the reliability of their judgements. We discuss the implications of these findings for models of confidence and collective decision-making. (shrink)

If our choices make us who we are, then what does that mean when these choices are made in the human-machine interface? Developing a clear understanding of how human decision making is influenced by automated systems in the environment is critical because, as human-machine interfaces and assistive robotics become even more ubiquitous in everyday life, many daily decisions will be an emergent result of the interactions between the human and the machine – not stemming solely from the human. (...) For example, choices can be influenced by the relative locations and motor costs of the response options, as well as by the timing of the response prompts. In drift diffusion model simulations of response-prompt timing manipulations, we find that it is only relatively equibiased choices that will be successfully influenced by this kind of perturbation. However, with drift diffusion model simulations of motor cost manipulations, we find that even relatively biased choices can still show some influence of the perturbation. We report the results of a two-alternative forced-choice experiment with a computer mouse modified to have a subtle velocity bias in a pre-determined direction for each trial, inducing an increased motor cost to move the cursor away from the pre-designated target direction. With queries that have each been normed in advance to be equibiased in people’s preferences, the participant will often begin their mouse movement before their cognitive choice has been finalized, and the directional bias in the mouse velocity exerts a small but significant influence on their final choice. With queries that are not equibiased, a similar influence is observed. By exploring the synergies that are developed between humans and machines and tracking their temporal dynamics, this work aims to provide insight into our evolving decisions. (shrink)

In recent years, somatosensory interaction technology, represented by Microsoft’s Kinect hardware platform, has been widely used in various fields, such as entertainment, education, and medicine. Kinect technology can easily capture and record behavioral data, which provides new opportunities for behavioral and psychological correlation analysis research. In this paper, an automatic decision-style recognition method is proposed. Experiments involving 240 subjects were conducted to obtain face data and individual decision-making style score. The face data was obtained using the Kinect (...) camera, and the decision-style score were obtained via a questionnaire. To realize automatic recognition of an individual decision-making style, machine learning was employed to establish the mapping relationship between the face data and a scaled evaluation of the decision-making style score. This study adopts a variety of classical machine learning algorithms, including Linear regression, Support vector machine regression, Ridge regression, and Bayesian ridge regression. The experimental results show that the linear regression model returns the best results. The correlation coefficient between the linear regression model evaluation results and the scale evaluation results was 0.6, which represents a medium and higher correlation. The results verify the feasibility of automatic decision-making style recognition method based on facial analysis. (shrink)

In everyday life, assumptions about our peers' as well as our own personality shape social interactions. We investigated whether self-rated personality and inferences drawn from partners' faces influence economic decisions. Participants (N= 285) played the trust game in the role of the trustor as well as the ultimatum game in the role of the proposer and interacted with trustees and receivers represented by prototypical personality faces. Participants also evaluated both their own traits and the personality of the faces. In the (...) trust game, trustees represented by faces rated higher on agreeableness yielded higher transferred amounts. This effect was more pronounced for trustors low on dispositional trust, whereas trustors high on dispositional trust did not relate their decisions to the faces. Trustees represented by faces rated higher on conscientiousness yielded higher transferred amounts only for trustors high on dispositional anxiety. In the ultimatum game, receivers represented by faces rated higher on conscientiousness yielded lower offers only for proposers high on dispositional assertiveness. These results extend previous findings on the inferences drawn from facial features and the influence of personality on decision making. They highlight the importance of considering the personality of both interaction partner, as well as potential interactions of players' traits. (shrink)

Rational decision making depends on what one believes, what one desires, and what one knows. In conventional decision models, beliefs are represented by probabilities and desires are represented by utilities. Software agents are knowledgeable entities capable of managing their own set of beliefs and desires, and they can decide upon the next operation to execute autonomously. They are also interactive entities capable of filtering communications and managing dialogues. Knowledgeability includes representing knowledge about the external world, reasoning (...) with it, and sharing it. Interactions include negotiations to perform tasks in cooperative, coordinative, and competitive ways. In this paper we focus on decision-making mechanisms for agent-based systems on the basis of agent interaction. We identify possible interaction scenarios and define mechanisms for decision making in uncertain environments. It is believed that software agents will become the underlying technology that offers the capability of distribution of competence, control, and information for the next generation of ubiquitous, distributed, and heterogeneous information systems. (shrink)

The Rift Valley fever (RVF), which first appeared in Kenya in 1912, is an anthropozoonosis widespread in tropical areas. In Senegal, it is particularly felt in the Ferlo area where a strong presence of ponds shared by humans, cattle and vectors is noted. As part of the studies carried out on the environmental factors which favour its start and propagation, the focus of this paper is put on the decision making process to evaluate the impacts, the interactions and (...) to make RVF monitoring easier. The present paper proposes a model based on data mining techniques and dedicated to trade experts. This model integrates all the involved data and the results of the analyses made on the characteristics of the surrounding ponds. This approach presents some advantage in revealing the relationship between environmental factors and RVF transmission vectors for space–time epidemiology monitoring purpose. (shrink)

ArgumentThis article studies the roles three science-based models play in Dutch policy and decision making processes. Key is the interaction between model construction and environment. Their political and scientific environments form contexts that shape the roles of models in policy decision making. Attention is paid to three aspects of the wider context of the models: a) the history of the construction process; b) the political and scientific environments; and c) the use in policy processes over longer (...) periods of time. Models are more successfully used when they are constructed in astablepolitical and scientific environment. Stability and certainty within a scientific field seems to be a key predictor for the usefulness of models for policy making. The economic model is more disputed than the ecology-based model and the model that has its theoretical foundation in physics and chemistry. The roles models play in policy processes are too complex to be considered as straightforward technocratic powers. (shrink)

The medical decision-making process is currently in flux. Decisions are no longer made entirely at the physician's discretion: patients are becoming more and more involved in the process. There is a great deal of discussion about the ideal of ‘informed consent’, that is that diagnostic and therapeutic decisions should be made based on an interaction between physician and patient. This means that patients are informed about the advantages and disadvantages of a treatment as well as alternatives to the (...) treatment; then, based on this information they can decide whether or not they want to undergo the treatment. However, recent studies show that the realisation of the ideal of ‘shared decision-making’ faces a number of difficulties related to the fact that patients are not provided with complete and accurate information. Using the example of breast cancer screening, this article examines the question of whether, in light of these difficulties, the ideal of informed decision-making is only an illusion or whether concrete steps can be taken towards the realisation of this ideal. (shrink)

“4E” cognitive science has demonstrated that embodied coupling offers powerful resources for reasoning. Despite a surge of studies, little empirical attention is paid to discussing the precise scope of these resources and their possible complementariness with traditional knowledge-based inference. We use decision-making in Shiatsu practice – a bodywork method that employs hands-on interaction with a client – to showcase how the two types of cognitive resources can mesh and offer alternative paths to a task: “Local” resources such as (...) embodied presence, empathy, attunement, as well as skilled perception-action coupling are not only central for implementing a successful therapeutic intervention. The immediate coupling with a client also offers basic means of deciding about fitting and meaningful interventions. Yet, when comprehensive intervention strategies are at stake, Shiatsu decision making must be complemented through “non-local” resources, notably inferences rooted in anatomy/physiology knowledge, categories, heuristics, and mental models. To draw out implications for “4E” cognitive science, we argue that “local” embodied coupling and “non-local” conceptual inferences can functionally complement, inform, and scaffold each other in a dialectic process. (shrink)

A theoretical structure for multiattribute decision making is presented, based on a dynamical system for interactions in a neural network incorporating affective and rational variables. This enables modeling of problems that elude two prevailing economic decision theories: subjective expected utility theory and prospect theory. The network is unlike some that fit economic data by choosing optimal weights or coefficients within a predetermined mathematical framework. Rather, the framework itself is based on principles used elsewhere to model many other (...) cognitive and behavioral data, in a manner approximating how humans perform behavioral functions. Different, interconnected modules within the network encode (a) attributes of objects among which choices are made, (b) object categories, (c) and goals of the decision maker. An example is utilized to simulate the actual consumer choice between old and new versions of Coca-Cola. Potential applications are also discussed to market decisions involving negotiations between participants, such as international petroleum traders. (shrink)

In this study, we assessed the influence of trait anger on decisions in risky situations evaluating how it might interact with some contextual factors. One hundred and fifty-eight participants completed the Trait Anger scale of STAXI-2 and an inventory consisting of a battery of hypothetical everyday decision-making scenarios, representative of three specific domains: financial, social and health. Participants were also asked to evaluate familiarity and salience for each scenario. This study provides evidence for a relationship between individual differences (...) in the tendency to feel anger and risky decisions in different domains and for mediation effects of familiarity and salience perception. The evaluation of the mechanisms with which dispositional anger is linked to risky decision-making could further contribute to an understanding of the role of personality traits in decision-making processes. (shrink)

Shared decision making (SDM) is the state of the art for clinicians’ communication with patients and surrogate decision makers. SDM involves give and take, in which all parties interact to maximize the autonomy of patients. In this article I summarize the core steps of SDM and explore ways to use it to benefit patients to the greatest extent. I review three articles included in this issue of The Journal of Clinical Ethics that highlight additional approaches we can (...) use to help patients and parents to see what may be in their own or their child’s best interest. I describe how these approaches can be used in most other medical fields. I explore ways to share information with patients that are outside the usual scope of SDM. Finally, I discuss how we might look, together with patients, at what all parties are feeling before we begin the process of SDM. (shrink)

In recent years, shared decision-making has become entrenched in the medical literature and the law as the ideal method for involving patients in decisions related to their health care. Shared decision-making represents a compromise between the opposed extremes of paternalistic interactions that limit patients’ control of their health care, and “informed choice” interactions that require physicians to provide technical expertise only, leaving patients to make all treatment decisions on their own. An implicit goal of shared (...) class='Hi'>decision-making is to improve medical care by promoting joint participation of patients and physicians in clinical consultations. The model of shared decision-making may, however, inadequately address the health care needs of lower literate patients, a significant portion of the general population.As shared decision-making is widely held as a clinical ideal, we highlight the difficulties that physicians might have in implementing shared decision-making with lower literate patients. (shrink)

In recent years, shared decision-making has become entrenched in the medical literature and the law as the ideal method for involving patients in decisions related to their health care. Shared decision-making represents a compromise between the opposed extremes of paternalistic interactions that limit patients’ control of their health care, and “informed choice” interactions that require physicians to provide technical expertise only, leaving patients to make all treatment decisions on their own. An implicit goal of shared (...) class='Hi'>decision-making is to improve medical care by promoting joint participation of patients and physicians in clinical consultations. The model of shared decision-making may, however, inadequately address the health care needs of lower literate patients, a significant portion of the general population.As shared decision-making is widely held as a clinical ideal, we highlight the difficulties that physicians might have in implementing shared decision-making with lower literate patients. (shrink)

In recent years the formerly quite strong interest in patient compliance has been questioned for being too paternalistic and oriented towards overly narrow biomedical goals as the basis for treatment recommendations. In line with this there has been a shift towards using the notion of adherence to signal an increased weight for patients’ preferences and autonomy in decision making around treatments. This ‘adherence-paradigm’ thus encompasses shared decision-making as an ideal and patient perspective and autonomy as guiding (...) goals of care. What this implies in terms of the importance that we have reason to attach to (non-)adherence and how has, however, not been explained. In this article, we explore the relationship between different forms of shared decision-making, patient autonomy and adherence. Distinguishing between dynamically and statically framed adherence we show how the version of shared decision-making advocated will have consequences for whether one should be interested in a dynamically or statically framed adherence and in what way patient adherence should be assessed. In contrast to the former compliance paradigm (where non-compliance was necessarily seen as a problem), using observations about (non-)adherence to assess the success of health care decision making and professional-patient interaction turns out to be a much less straightforward matter. (shrink)

This study explores the direct and interactive effects of individual differences in interpersonal trust and negotiation style on ethical decision-making processes across commonly faced negotiation situations. Individual differences influence basic ideas about legitimate negotiating behaviors, affect behavioral intentions directly, and interact with the favorability of negotiating situations, resulting in direct, indirect, and interactive effects on ethical decision-making processes. Using a sample of 298 participants in executive education workshops, the study analyzes the relationship between interpersonal (...) trust, competitiveness, moral judgment, and behavioral intentions in different negotiating conditions through a series of structural equation models and regression analyses. Our results suggest that individual difference variables exert a significant influence not only on how managers assess the morality of ethically ambiguous negotiation practices but also directly on their behavioral intentions, and that this effect changed across specific negotiation situations. We discuss these results in terms of their usefulness in explaining ethical decision-making processes in negotiations. (shrink)