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The Psychology of Decision-Making: How Choice Context, Content and Task Influence People’s Behaviour

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Mental Health".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 12191

Special Issue Editors


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Guest Editor
LSBU Business School, London South Bank University, London SE1 0AA, UK
Interests: judgement and decision-making; risk; utility; forecasting; moral decision-making; behavioural science
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of People and Organisations, Surrey Business School, University of Surrey, Guildford GU2 7XH, UK
Interests: moral decision-making; prosocial behaviour; judgement and decision-making; psychological processing; behavioural science
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
LSBU Business School, London South Bank University, London SE1 0AA, UK
Interests: behavioural science; judgement and decision-making; heuristics and psychological processing; risky behaviour
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Prominent normative (von Neumann & Morganstern, 1947) and descriptive (Kahneman & Tversky, 1979; Tversky & Kahneman, 1992) theories of decision-making assume that people have stable and consistent preferences, informed by psychological computational processing. In contrast, empirical evidence has demonstrated that peoples’ preferences are sensitive to features of the environment – context, content and behavioural task (e.g., Hertwig et al., 2004; Kusev et al., 2009; Kusev & van Schaik, 2011; Martin, Kusev, & van Schaik, 2021; Martin, Kusev, Teal, et al., 2021; Pedroni et al., 2017; Teal et al., 2021) and ‘constructed on the fly’ (Kusev et al., 2020; Slovic, 1995), often using non-computational psychological mechanisms (e.g., Brandstätter et al., 2006; Gigerenzer et al. 1999; Stewart et al., 2006). However, little is known about the relationship between features of the environment and the specific psychological mechanisms (e.g., sampling, computational processing, adaptive heuristics) which they trigger, and which are subsequently used by people to construct their preferences ‘on the fly’. 

Accordingly, this special issue focuses on advancing the exploration of how (and when) features of the decision-making environment (context, content and task) trigger the psychological mechanisms which influence peoples’ decision-making behaviour. For instance, contributors may wish to explore the psychology of decision-making, behavioural science and/or behavioural economics in one of the following domains (please note, this list provides examples – it is non-exhaustive): 

  • Risky Behaviour
  • Moral Behaviour
  • Consumer Behaviour
  • Health and Wellbeing
  • Public Policy (e.g., boosting vs nudging)
  • Prosocial Behaviour
  • Behaviour and Social Cognition
  • Cognition and Behaviour
  • Behaviour of Autonomous Systems/Technology
  • Behavioural Finance
  • Behaviour in the Workplace
  • Managerial Decision Making 

Given the broad scope of this special issue and the interdisciplinary nature of decision-making research, we expect that it will attract contributions (empirical and review manuscripts) from researchers in fields such as: behavioural science, behavioural economics, behavioural finance, psychology, economics, computer science, sociology, anthropology, political science, philosophy. 

References 

Brandstätter, E., Gigerenzer, G., & Hertwig, R. (2006). The priority heuristic: Making choices without trade-offs. Psychological Review, 113(2), 409-432. doi:10.1037/0033-295X.113.2.409.

Gigerenzer, G., Todd, P. M., & ABC Research Group (1999). Simple heuristics that make us smart. New York: Oxford University Press.

Hertwig, R., Barron, G., Weber, E. U., & Erev, I. (2004). Decisions from experience and the effect of rare events in risky choice. Psychological Science, 15(8), 534-539.

Kahneman, D., & Tversky, A. (1979). Prospect theory: an analysis of decision under risk. Econometrica, 47, 263–291.

Kusev, P., & van Schaik, P. (2011). Preferences under risk: Content-dependent behaviour and psychological processing. Frontiers in Psychology, 2, 269.

Kusev, P., van Schaik, P., Ayton, P., Dent, J., & Chater, N. (2009). Exaggerated risk: Prospect theory and probability weighting in risky choice. Journal of Experimental Psychology: Learning, Memory and Cognition, 35(6), 1487-1505.

Kusev, P., Van Schaik, P., Martin, R., Hall, L., & Johansson, P. (2020). Preference reversals during risk elicitation. Journal of Experimental Psychology: General, 149(3), 585-589. http://0-dx-doi-org.brum.beds.ac.uk/10.1037/xge0000655.

Martin, R., Kusev, P., & van Schaik, P. (2021). Autonomous vehicles: How perspective-taking accessibility alters moral judgments and consumer purchasing behavior. Cognition, 212, 104666. https://0-doi-org.brum.beds.ac.uk/10.1016/j.cognition.2021.104666

Martin, R., Kusev, P., Teal, J., Baranova, V., & Rigal, B. (2021). Moral Decision Making: From Bentham to Veil of Ignorance via Perspective Taking Accessibility. Behavioral Sciences, 11(5), 66.

Pedroni, A., Frey, R., Bruhin, A., Dutilh, G., Hertwig, R., & Rieskamp, J. (2017). The risk elicitation puzzle. Nature Human Behaviour, 1(11), 803-809. doi:10.1038/s41562-017-0219-x.

Slovic, P. (1995). The construction of preference. American psychologist, 50(5), 364.

Stewart, N., Chater, N., & Brown, G. D. A. (2006). Decision by sampling. Cognitive Psychology, 53(1), 1-26. doi:10.1016/j.cogpsych.2005.10.003

Teal, J., Kusev, P., Heilman, R., Martin, R., Passanisi, A., & Pace, U. (2021). Problem Gambling ‘Fuelled on the Fly’. International Journal of Environmental Research and Public Health, 18(16), 8607.

Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297-323.

von Neumann, J. & Morgenstern, O. (1947). Theory of Games and Economic Behavior (2nd ed.). Princeton, NJ: Princeton University Press.

You may choose our Joint Special Issue in Behavioral Sciences.

Prof. Dr. Petko Kusev
Dr. Rose Martin
Dr. ‪Joseph Teal‬
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • psychology of decision-making
  • behavioural science
  • behavioural economics
  • decision environment
  • cognition

Published Papers (5 papers)

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Research

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19 pages, 1387 KiB  
Article
Research on the Driving Factors of Collective Nostalgia and the Impact of Collective Nostalgia on National Brand Consciousness
by Yi Zhang, Hang Zhou and Jian Qin
Int. J. Environ. Res. Public Health 2022, 19(24), 16738; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph192416738 - 13 Dec 2022
Viewed by 2224
Abstract
Nostalgia is an important factor affecting consumers’ intention and behavior. A lot of previous research on nostalgia has been conducted from the perspective of individuals rather than groups. Then how does group-based collective nostalgia come into being? How will consumers’ collective nostalgia affect [...] Read more.
Nostalgia is an important factor affecting consumers’ intention and behavior. A lot of previous research on nostalgia has been conducted from the perspective of individuals rather than groups. Then how does group-based collective nostalgia come into being? How will consumers’ collective nostalgia affect their consumption decisions? And what can we do to guide it? By sorting out the relevant literature, this paper attempts to explore the driving factors of collective nostalgia and observe the internal impact of it on national brand consciousness. Furthermore, a mechanism model of collective nostalgia is constructed, and data collection and empirical analysis are carried out by means of a questionnaire. The results show that relative deprivation, social alienation, interpersonal alienation and environmental alienation have significant positive predictive effects on collective nostalgia, while cultural discontinuity and historical discontinuity have no significant predictive effect on collective nostalgia. In addition, collective nostalgia has a positive influence on national brand consciousness; personal identity, social identity and collective identity all play mediating roles between collective nostalgia and national brand consciousness. With the improvement in social emotion, the positive effect of social identity and collective identity on national brand consciousness is strengthened, while the influence of personal identity on national brand consciousness is not significant. The study enriches the basic theory of collective nostalgia and national brand consciousness and provides suggestions for further developing domestic brands and expanding the influence of domestic brands. Full article
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25 pages, 3446 KiB  
Article
The Theoretical Model of Decision-Making Behaviour Geospatial Analysis Using Data Obtained from the Games of Chess
by Agnieszka Szczepańska and Rafał Kaźmierczak
Int. J. Environ. Res. Public Health 2022, 19(19), 12353; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph191912353 - 28 Sep 2022
Viewed by 1701
Abstract
The game of chess offers a conducive setting to explore basic cognitive processes, including decision-making. The game exercises analytical cause-and-effect thinking skills regardless of the level of play. Moreover, chess portals provide information on the chess games played and serve as a vast [...] Read more.
The game of chess offers a conducive setting to explore basic cognitive processes, including decision-making. The game exercises analytical cause-and-effect thinking skills regardless of the level of play. Moreover, chess portals provide information on the chess games played and serve as a vast database. The numbers of games played thus have the potential to be analyzed comprehensively, including for purposes other than analyzing chess matches only. The primary objective of this study is to develop a methodology for using information obtained from chess games for geospatial social analysis. The assumption is that the methodology will allow for general geographical variation in personality inference in the future, relying on big data from chess databases. Future large-scale studies of the geographical differentiation of personality traits using the developed methodology may be applicable in a number of ways. The results can be used wherever cross-sectional social analyses are needed in the context of personality traits (decision-making) to better understand their geographical background. In turn, the geographical distribution of these traits is accompanied by a range of important social, educational, health, political and economic implications. Full article
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30 pages, 2602 KiB  
Article
Does the Formulation of the Decision Problem Affect Retirement?—Framing Effect and Planned Retirement Age
by Tomasz Jedynak
Int. J. Environ. Res. Public Health 2022, 19(4), 1977; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph19041977 - 10 Feb 2022
Cited by 2 | Viewed by 1854
Abstract
The aim of the study is to fill the research gap in relation to one of the behavioral factors that have a potential impact on retirement decisions—the framing effect. A research question addressed in the study is whether the way in which the [...] Read more.
The aim of the study is to fill the research gap in relation to one of the behavioral factors that have a potential impact on retirement decisions—the framing effect. A research question addressed in the study is whether the way in which the decision-making problem is formulated (the framing effect) influences decisions on the planned retirement age. To answer this question, an original research questionnaire was developed. It included a description of a hypothetical pension system and experimental vignette questions. The research was conducted on the basis of answers given by 1079 randomly selected respondents who were participants of the pension system in Poland before retirement. In the analysis of the results, non-parametric tests and multiple logistic regression were used to compare response distributions. As a result of the conducted research, it was proven that the framing effect significantly affects the extension of the planned retirement age. At the same time, it was found that loss framing affects pension decisions to a greater extent than gain framing. It has also been noted that women are more susceptible than men to the framing of pension decisions. An application conclusion resulting from the conducted research is indicated as the possibility of the intentional use of the framing effect by decision-makers in order to increase the effective retirement age. Full article
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13 pages, 327 KiB  
Article
How Power Influences Decision-Makers’ Investment Behavior in the Domains of Loss and Gain
by Katarzyna Sekścińska and Joanna Rudzinska-Wojciechowska
Int. J. Environ. Res. Public Health 2021, 18(23), 12834; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph182312834 - 06 Dec 2021
Cited by 3 | Viewed by 2184
Abstract
We present a study (N = 645) investigating how power alters people’s propensity to take investment risks in a changing decision context of gains and losses and the intensity of their reactions to this experience. The results indicate that people in a [...] Read more.
We present a study (N = 645) investigating how power alters people’s propensity to take investment risks in a changing decision context of gains and losses and the intensity of their reactions to this experience. The results indicate that people in a state of power made more risky investment decisions than the control group regardless of prior gain or loss outcome, whereas people lacking power took less investment risk than the control group, regardless of previous outcomes. Moreover, people with power and those lacking power differed in their reactions to gains and losses, with the former reacting more to gains and the latter to losses. Full article

Review

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14 pages, 642 KiB  
Review
The Behavioral Factors That Influence Person-Centered Social Care: A Literature Review and Conceptual Framework
by Eugene Tay, Ivo Vlaev and Sebastiano Massaro
Int. J. Environ. Res. Public Health 2022, 19(7), 4334; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph19074334 - 04 Apr 2022
Cited by 1 | Viewed by 2814
Abstract
The last decade has seen numerous policy reforms to emplace person-centered social care. Consequently, the public has been given more information, choice, and autonomy to decide how best they want to be cared for later in life. Despite this, adults generally fail to [...] Read more.
The last decade has seen numerous policy reforms to emplace person-centered social care. Consequently, the public has been given more information, choice, and autonomy to decide how best they want to be cared for later in life. Despite this, adults generally fail to plan or prepare effectively for their future care needs. Understanding the behavioral antecedents of person-centered decision-making is thus critical for addressing key gaps in the provision of quality social care. To this end, we conducted a literature review of the psychological and health sciences with the aim of identifying the aspects that influence person-centered decision-making in social care. Using an established theoretical framework, we distilled nine behavioral factors―knowledge, competency, health, goal clarity, time discounting, familiarity, cognitive biases, cognitive overload, and emotion―associated with “Capability,” “Opportunity,” “Motivation,” and “Behavior” that explained person-centered decision-making in social care. These factors exist to different degrees and change as a person ages, gradually impacting their ability to obtain the care they want. We discuss the role of carers and the promise of shared decision-making and conclude by advocating a shift from personal autonomy to one that is shared with carers in the delivery of quality social care. Full article
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