Search results

The purpose of this research is to show that new conceptual work in the judgment and decision‐making research arena has suggested a nonconsequentialist perspective to decision‐making. The current study successfully tested and found support for a decision‐making model, which serves an alternative to expected utility theory.

Using a natural decision‐making setting, 578 participants completed a one time study using questionnaires attempting to test a nonconsequentialist decision‐making model, which includes indecisiveness as a vital construct.

Full mediation was found for the Nonconsequentialist Decision‐Making Model (NDMM), allowing us to discuss directionality and causality. Further, 81 percent of the 578 participants felt indecisive about their personal decision, highlighting the importance of examining this understudied construct. Research limitations/implications – The current study suggests that individuals facing a difficult decision would soon rather make a detrimental decision than stay in the decision‐making process. This means that the actual act of making a decision functions as a coping behavior in and of itself.

Understanding the decision‐making process is complex, and many individual and environmental variables play critical roles that lead the decision maker to a particular choice. Traditionally, the judgment and decision‐making literature has interpreted decision‐making as rational or irrational, with an attempt to understand and negate common flaws in logic. However, this study supports a nonconsequentialist perspective, suggesting that emotions play a significant role in the decision‐making process. By such an inclusion we can move beyond the sole focus of rational‐irrational and move toward a consequentialist‐nonconsequentialist paradigm in decision‐making. By making this shift, we are better able to deal with and understand individual emotions during the decision‐making process, and ultimately help individuals functionally cope and stay in the process, rather than escape and make a poorly thought through decision. This work is especially critical in the upper echelons of organizations, where nonconsequentialist dysfunctional decisions can affect millions of lives and cost billions of dollars.

Nonconsequentialist dysfunctional decisional coping behavior is a recently developed topic with significant conceptual work but insufficient empirical evidence. Loewenstein et al. (2001, p. 267) note that: “Virtually all current theories in decision‐making under risk or uncertainty are cognitive and consequentialist”. If Loewenstein et al.'s (2001) quote is accurate, then the current study offers empirical support for an alternative, nonconsequentialist model.

Evidence is lacking as to the superiority of dual-focused versus single-focused approaches in treating depression and alcohol use comorbidity. Different people may also value the different features of treatment options differently, necessitating a decision-support tool. This study aims to test the acceptability, feasibility, safety and potential usefulness of the Alcohol and Depression Decision-Aid for Psychological Treatments (ADDAPT).

ADDAPT was developed according to International Patient Decision-Aid Standards and in consultation with potential end users. Adults with depression and alcohol use comorbidity, who were considering/recently considered psychological treatments, were recruited via online advertisements. After clicking on the study URL, participants accessed the ADDAPT e-book and completed validated and purpose-designed questionnaires.

Of the 24 participants, most would recommend ADDAPT to others (79.2% agree) and endorsed it as easy-to-use (75%), useful in decision-making (79.2%), presenting balanced (87.5%), up-to-date (91.7%), easy-to-understand (79.2%) and trustworthy information (83.3%), which did not provoke anxiety (i.e. safety; 75%). Post-use, participants felt well prepared to decide on treatment (M = 3.48/5) and demonstrated good treatment knowledge (M = 65.83%). All but one participant indicated a treatment choice supported by best available evidence, and decisional conflict scores except for the uncertainty subscale were below the threshold for decisional delay (all M < 37.5/100).

ADDAPT is the first decision-aid of its kind, with pilot findings supporting its acceptability, feasibility, safety and potential usefulness for improving decision-making quality among people considering psychological treatment options for depression and alcohol use comorbidity.

Shared decision making (SDM) is a model of health care in which patients are involved in the decision-making process about their treatment, considering their preferences and concerns in a deliberative process with the health care provider. Many existing instruments assess the antecedents, process, or the outcomes of SDM. The purpose of this paper is to identify the SDM-related measures applied in a mental health context.

The authors performed a systematic review in several electronic databases from 1990 to October 2016. Studies that assessed quantitatively one or more constructs related to SDM (antecedents, process, and outcomes) in the field of mental health were included.

The authors included 87 studies that applied 48 measures on distinct SDM constructs. A large majority of them have been developed in the field of physical diseases and adapted or directly applied in the mental health context. The most evaluated construct is the SDM process in consultation, mainly by patients’ self-report but also by external observer measures, followed by the patients’ preferences for involvement in decision making. The most applied instrument was the Autonomy Preference Index, followed by the Observing Patient Involvement in Decision Making (OPTION) and the Control Preferences Scale (CPS). The psychometric validation in mental health samples of the instruments identified is scarce.

The bibliographic search is comprehensive, but could not be completely exhaustive. Effort should be invested in the development of new SDM for mental health tools that will reflect the complexity and specific features of mental health care.

The authors highlight several limitations and challenges for the measurement of SDM in mental health care.

This paper aims to investigate a double puzzle, empirical and theoretical. Empirically, can the authors document the influence of groups on financial decisions in investments and trading? Theoretically, if decisions in a group context can be documented, how can we account for them, against the background of the normative models, according to which financial decisions are individualized and atomized? Based on interviews and ethnographic observations with fund managers, analysts and traders, the authors document here decision-making in finance. Theoretically, the authors argue that financial decisions can be explained if, in addition to cognitive processes, the authors take into account the impact of social interactions on the decision-making process. Social interactions are not restricted to imitation processes, and can be seen here as the efforts deployed by decision-makers at maintaining and managing the context of their decisions. The authors present and discuss empirical evidence and argue that the study of social interactions can productively contribute to understanding how decisions are made in finance.

The data analyzed here have been gathered between 2001 and 2011, and include: interviews with investment professionals (fund managers and analysts) from the UK and Turkey; interviews with individual investors from the UK and the USA; and observations with individual investors from the UK and the USA. This captures decision activities conducted in different regulatory frameworks of those countries. The authors focussed in the interviews on general decision-making practices.

Conclusion the authors have sought to answer a double puzzle, empirical and theoretical. Empirically, the puzzle is how investors and traders resort to groups in their decision-making. Theoretically, the puzzle consists not only in providing an explanation for such processes but also in taking into account that they do not fit the normative models of decisions in mainstream finance. The argument has been that in addition to the cognitive processes identified and discussed in behavioural finance, the authors need to take into account the impact of social processes as well. Social processes include the efforts deployed by financial decision-makers at maintaining and managing the contexts within which decisions are made. The work of context maintenance is intrinsic to the logic of decision-making. The authors have identified, documented and discussed here the social dynamics in financial decisions with respect to performance, managing group relationships and possible conflicts.

Managing relationships within groups is not without consequences with regard to trading decisions. Oftentimes, avoiding group conflicts – or being confronted with them – leads to decisional adjustments, which have less to do with returns on trades than with the necessity of accommodating social relationships. As several of the interviewees emphasized, making decisions implies consensus and reaching consensus requires accommodating relationships.

The purpose of this paper is to understand how women with a diagnosis of schizophrenia or bipolar disorder approach medication decision making in pregnancy.

The study was co-produced by university academics and charity-based researchers. Semi-structured interviews were conducted by three peer researchers who have used anti-psychotic medication and were of child bearing age. Participants were women with children under five, who had taken anti-psychotic medication in the 12 months before pregnancy. In total, 12 women were recruited through social media and snowball techniques. Data were analyzed following a three-stage process.

The accounts highlighted decisional uncertainty, with medication decisions situated among multiple sources of influence from self and others. Women retained strong feelings of personal ownership for their decisions, whilst also seeking out clinical opinion and accepting they had constrained choices. Two styles of decision making emerged: shared and independent. Shared decision making involved open discussion, active permission seeking, negotiation and coercion. Independent women-led decision making was not always congruent with medical opinion, increasing pressure on women and impacting pregnancy experiences. A common sense self-regulation model explaining management of health threats resonated with women’s accounts.

Women should be helped to manage decisional conflict and the emotional impact of decision making including long term feelings of guilt. Women experienced interactions with clinicians as lacking opportunities for enhanced support except in specialist perinatal services. This is an area that should be considered in staff training, supervision, appraisal and organization review.

This paper uses data collected in a co-produced research study including peer researchers.

The current study aims to aid in the theoretical development of the indecisiveness construct, create a definition of indecisiveness that reflects current research, and differentiate indecisiveness from other constructs in the field. An indecisiveness scale with positive psychometric properties is developed to measure the construct.

A total of 578 undergraduate participants answered an open ended question inquiring about a “big” decision they were facing in their life. Participants completed questionnaires on indecisiveness and decision‐making strategies.

Of the 578 total participants who completed the study, 465 (approximately 81 percent) stated that they felt indecisive with regard to their “big” decision. While researchers may be hesitant to study indecisiveness because the phenomenon is thought to be rare, the current study indicates that the presumed anomaly may exist more often than the literature reflects. What's more, the widespread occurrence of indecisiveness speaks the importance of studying the phenomenon. Results also suggest strong support for using the indecisiveness scale, with psychometric tests finding convergent validity with emotion‐focused decision‐making strategies and divergent validity with logic‐focused strategies.

Limitations include using a sample of undergraduate students to initially test the indecisiveness scale.

With a solid construct definition and psychometrically sound measurement instrument, this paper hopes to encourage future research on indecisiveness and its role in the decision‐making process. This work is especially critical in the upper echelons of organizations, where indecisiveness can affect millions of lives and cost billions of dollars.

Research studying indecisiveness is sparse at best, and the need to study the construct has been consistently overlooked in the literature. This study is the first of its kind to develop a solid definition of indecisiveness as it exists in the decision‐making process and an accompanying measurement instrument with positive psychometric qualities.

We reflect upon the histories of the behavioral science and the neuroscience of motivation, taking note of how these increasingly consilient disciplines inform each other. This volume’s chapters illustrate how the field has moved beyond the study of immediate external rewards to the examination of neural mechanisms underlying varied motivational and appetitive states. Exemplifying this trend, we focus on emerging knowledge about intrinsic motivation, linking it with research on both the play and exploratory behaviors of nonhuman animals. We also speculate about large-scale brain networks related to salience processing as a possibly unique component of human intrinsic motivation. We further review emerging studies on neural correlates of basic psychological needs during decision making that are beginning to shine light on the integrative processes that support autonomous functioning. As with the contributions in this volume, such research reflects the increasing iteration between mechanistic studies and contemporary psychological models of human motivation.

Increases in air traffic and air traffic controller workload lead to a need to provide assistance to the air traffic controller. Proposes and validates a new organization of air traffic control, which allows air traffic controllers to remain active in the control and supervisory loop of the process, in order to maintain the present traffic safety level and to improve the global system performances. Consists of decomposing the problem according to the two levels of the air traffic control organization. Directs the first step towards a horizontal cooperation that consists of a dynamic allocation of the tactical level control tasks between human air traffic controllers and an assistance tool. Presents the dynamic task allocation principles, and describes the experimental platform for task allocation in air traffic control. Describes the experimental protocol used for the experiments with qualified controllers and presents the first results. They show the real help a dynamic task allocation provides to the air traffic controllers.

This paper aims to categorize users of voice assistants and analyze decision-making conflicts to predict intention to adopt voice commerce (v-commerce).

This exploratory study used expert survey-based data collection founded on data saturation.

This study identifies three forms of voice systems based on senses aroused (screen first, voice only and voice first) and four profiles of voice users (passive resistant, hedonistic adopter, utilitarian adopter and active resistant), each with a different appraisal of the benefits and costs of v-commerce adoption and the experiences (positive or negative) felt during the shopping experience. This study proposes a conceptual model to predict intention to adopt v-commerce depending on voice-system and -user characteristics.

Learning from this study can help improve the marketing strategies and actions put in place by voice-assistant brands and advertisers by providing insights for adapting product recommendation algorithms to meet the needs of the identified profiles.

This paper provides an answer to the limits of classical approaches based on “one-size-fits-all” strategy by showing how voice-assistant users have different profiles that span a gradient of advance in technology adoption.

Although the negative consequences of conflict in work settings have long been recognized, it is only in recent years that researchers have examined its positive effects, and the majority of this research has been conducted at the group level. This paper aims to examine the positive effects of conflict on individual work behaviors by differentiating between task and relationship conflicts, as well as the moderating influence of two contextual variables.

A survey was conducted with 166 pairs of supervisors and subordinates in China.

Results supported the hypotheses that task conflict is positively related to both innovative behaviors and knowledge sharing behaviors while relationship conflict is negatively related to both individual‐directed organizational citizenship and knowledge sharing behaviors. Support for innovation and reward system for relationship‐building functioned as contextual factors to moderate the relationships between task and relationship conflicts and the workplace behaviors studied.

The hypotheses proposed and most of the findings are original.