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

A special issue of Behavioral Sciences (ISSN 2076-328X). This special issue belongs to the section "Behavioral Economics".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 7685

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. The priority heuristic: Making choices without trade-offs. Psychol. Rev. 2006, 113, 409–432. https://doi.org/10.1037/0033-295X.113.2.409.
  • Gigerenzer, G.; Todd, P.M.; ABC Research Group. Simple heuristics that make us smart. Oxford University Press: New York, NY, USA, 1999.
  • Hertwig, R.; Barron, G.; Weber, E.U.; Erev, I. Decisions from experience and the effect of rare events in risky choice. Psychol. Sci. 2004, 15, 534–539.
  • Kahneman, D.; Tversky, A. Prospect theory: an analysis of decision under risk. Econometrica 1979, 47, 263–291.
  • Kusev, P.; van Schaik, P. Preferences under risk: Content-dependent behaviour and psychological processing. Front.Psychol. 2011, 2, 269.
  • Kusev, P.; van Schaik, P.; Ayton, P.; Dent, J.; Chater, N. Exaggerated risk: Prospect theory and probability weighting in risky choice. J. Exp. Psychol.: Learn., Mem. Cogn. 2009, 35, 1487–1505.
  • Kusev, P.; Van Schaik, P.; Martin, R.; Hall, L.; Johansson, P. Preference reversals during risk elicitation. J. Exp. Psychol. 2020, 149, 585–589. http://dx.doi.org/10.1037/xge0000655.
  • Martin, R.; Kusev, P.; van Schaik, P. Autonomous vehicles: How perspective-taking accessibility alters moral judgments and consumer purchasing behavior. Cognition 2021, 212, 104666. https://doi.org/10.1016/j.cognition.2021.104666.
  • Martin, R.; Kusev, P., Teal; J., Baranova, V.; Rigal, B. Moral Decision Making: From Bentham to Veil of Ignorance via Perspective Taking Accessibility. Behav. Sci. 2021, 11, 66.
  • Pedroni, A.; Frey, R.; Bruhin, A.; Dutilh, G.; Hertwig, R.; Rieskamp, J. The risk elicitation puzzle. Nat. Hum. Behav. 2017, 1, 803–809. http://doi.org/10.1038/s41562-017-0219-x.
  • Slovic, P. The construction of preference. Am. Psychol. 1995, 50, 364.
  • Stewart, N.; Chater, N.; Brown, G.D.A. Decision by sampling. Cogn. Psychol. 2006, 53, 1–26. http://doi.org/10.1016/j.cogpsych.2005.10.003.
  • Teal, J.; Kusev, P.; Heilman, R.; Martin, R.; Passanisi, A.; Pace, U. Problem Gambling ‘Fuelled on the Fly’. Int. J. Environ. Res. Public Health 2021, 18, 8607.
  • Tversky, A.; Kahneman, D. Advances in prospect theory: Cumulative representation of uncertainty. J. Risk Uncertain. 1992, 5, 297–323.
  • von Neumann, J.; Morgenstern, O. Theory of Games and Economic Behavior, 2nd ed.; Princeton University Press: Princeton, NJ, USA, 1947.

You may choose our Joint Special Issue in International Journal of Environmental Research and Public Health.

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

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Keywords

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

Published Papers (5 papers)

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Research

11 pages, 702 KiB  
Article
Maximizers’ Reactance to Algorithm-Recommended Options: The Moderating Role of Autotelic vs. Instrumental Choices
by Kaeun Kim
Behav. Sci. 2023, 13(11), 938; https://doi.org/10.3390/bs13110938 - 16 Nov 2023
Viewed by 1060
Abstract
The previous literature has provided mixed findings regarding whether consumers appreciate or are opposed to algorithms. The primary goal of this paper is to address these inconsistencies by identifying the maximizing tendency as a critical moderating variable. In Study 1, it was found [...] Read more.
The previous literature has provided mixed findings regarding whether consumers appreciate or are opposed to algorithms. The primary goal of this paper is to address these inconsistencies by identifying the maximizing tendency as a critical moderating variable. In Study 1, it was found that maximizers, individuals who strive for the best possible outcomes, exhibit greater reactance toward algorithm-recommended choices than satisficers, those who are satisfied with a good-enough option. This increased reactance also resulted in decreased algorithm adoption intention. Study 2 replicated and extended the findings from Study 1 by identifying the moderating role of choice goals. Maximizers are more likely to experience reactance to algorithm-recommended options when the act of choosing itself is intrinsically motivating and meaningful (i.e., autotelic choices) compared to when the decision is merely a means to an end (i.e., instrumental choices). The results of this research contribute to a nuanced understanding of how consumers with different decision-making styles navigate the landscape of choice in the digital age. Furthermore, it offers practical insights for firms that utilize algorithmic recommendations in their businesses. Full article
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14 pages, 634 KiB  
Article
The Effect of Perceived Environmental Uncertainty on University Students’ Anxiety, Academic Engagement, and Prosocial Behavior
by Ting Kong and Shuang Zeng
Behav. Sci. 2023, 13(11), 906; https://doi.org/10.3390/bs13110906 - 03 Nov 2023
Viewed by 1147
Abstract
Uncertainty, as the predominant characteristic of the contemporary landscape, poses significant challenges and exerts profound influence on individual decision making and behaviors; however, there remains a limited understanding of its impact on university student behavior. Building upon the uncertainty management theory, this study [...] Read more.
Uncertainty, as the predominant characteristic of the contemporary landscape, poses significant challenges and exerts profound influence on individual decision making and behaviors; however, there remains a limited understanding of its impact on university student behavior. Building upon the uncertainty management theory, this study presents a conceptual framework to investigate the impact of perceived environmental uncertainty on university students’ anxiety levels and behaviors, including academic engagement and prosocial behavior. Additionally, our model proposes that the intolerance of uncertainty moderates a mediating effect on anxiety. These hypotheses are empirically tested using a sample of 221 Chinese university students. The results reveal a positive relationship between perceived environmental uncertainty and anxiety among university students; subsequently, anxiety exerts a negative influence on both academic engagement and prosocial behavior. Furthermore, we find that anxiety serves as a psychological mediator between perceived environmental uncertainty and both academic engagement and prosocial behavior. This research also underscores the significance of the intolerance of uncertainty in shaping university students’ involvement in academic pursuits when confronted with anxiety stemming from perceived environmental uncertainty. Consequently, these findings have practical implications for facilitating university students’ adaptive coping strategies in uncertain contexts and mitigating the negative effects of anxiety on their behavioral responses. Full article
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8 pages, 248 KiB  
Article
To Take a Risk or Not? The Effect of Perceived Scarcity on Risky Choices
by Shujing Liang, Ping Fan and Guangyong Yang
Behav. Sci. 2023, 13(9), 743; https://doi.org/10.3390/bs13090743 - 06 Sep 2023
Cited by 1 | Viewed by 1288
Abstract
Studies suggest that resource scarcity leads to risky behaviors. From a cognitive perspective, a scarcity mindset affects the decision-making process. Does perceived scarcity therefore affect risk taking when making decisions? This study (N = 213) was conducted in western China to examine the [...] Read more.
Studies suggest that resource scarcity leads to risky behaviors. From a cognitive perspective, a scarcity mindset affects the decision-making process. Does perceived scarcity therefore affect risk taking when making decisions? This study (N = 213) was conducted in western China to examine the effect of perceived scarcity on risky choices. Our results revealed that participants in the scarcity condition tended to be more risk averse than participants in the control condition when making a risky decision. Perceived scarcity increased the probability of choosing the safe option that offered a sure gain. The effect of psychological variables (emotion, risk attitude, personality, impulsivity, self-control and ego depletion) on risky choices was also tested. Risk attitude, urgency in impulsivity, and deliberate action in self-control also influence risky choices. Full article
11 pages, 1672 KiB  
Article
“Fill the World with Love”: Songs with Prosocial Lyrics Enhance Online Charitable Donations among Chinese Adults
by Mei Hong, Dapeng Liang and Teng Lu
Behav. Sci. 2023, 13(9), 739; https://doi.org/10.3390/bs13090739 - 04 Sep 2023
Cited by 1 | Viewed by 1139
Abstract
Research has shown that songs with prosocial lyrics can enhance individual prosociality. Building on the general learning model (GLM), this study demonstrated, through real-world charitable organizations, how songs with prosocial lyrics influence helping behavior that uses time as a currency. In Study 1, [...] Read more.
Research has shown that songs with prosocial lyrics can enhance individual prosociality. Building on the general learning model (GLM), this study demonstrated, through real-world charitable organizations, how songs with prosocial lyrics influence helping behavior that uses time as a currency. In Study 1, participants were randomly assigned to conditions of prosocial songs, prosocial lyrics, or neutral songs, and they were instructed to complete an online charity task. The results indicated that compared to the neutral songs, participants listening to prosocial songs and lyrics spent more time donating rice to the United Nations World Food Programme. This effect was replicated in Study 2, employing different media exposure from Study 1 (i.e., listening to background music). Furthermore, investigations into the underlying mechanisms revealed that this effect was mediated by interpersonal empathy. In summary, current findings suggest that songs with prosocial lyrics increase interpersonal empathy, subsequently influencing people’s online charitable donation behaviors in daily life. Full article
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16 pages, 879 KiB  
Article
The Impact Mechanism of Consumer’s Initial Visit to an Automobile 4S Store on Test Drive Intention: Product Aesthetics, Space Image, Service Quality, and Brand Image
by Qianling Jiang, Liyuan Deng and Chun Yang
Behav. Sci. 2023, 13(8), 673; https://doi.org/10.3390/bs13080673 - 11 Aug 2023
Viewed by 2178
Abstract
[Purpose/Significance] Under the influence of various factors such as the pandemic, oil prices, and economic conditions, the global automotive industry has entered a period of downturn. Therefore, how to activate market potential and increase consumers’ willingness to purchase cars has become an important [...] Read more.
[Purpose/Significance] Under the influence of various factors such as the pandemic, oil prices, and economic conditions, the global automotive industry has entered a period of downturn. Therefore, how to activate market potential and increase consumers’ willingness to purchase cars has become an important research topic. Unlike many other products, test drives play a significant role in the car-buying process. [Method/Procedure] This study employs a questionnaire survey to explore how consumer perceptions of product aesthetics, space quality, and service quality during their initial visit to an automobile 4S store influence their test drive intention through two dimensions of brand image: symbolic and experiential. A structural equation model is used to establish a test drive intention impact model incorporating these dimensions. [Results/Conclusions] The study found that brand image, both symbolic and experiential, plays a significant mediating role in enhancing potential consumers’ test drive intentions. Space image had the most significant impact on brand image. Although product aesthetics did not directly affect brand image experientially, they remained an important factor in enhancing brand image symbolically. [Contribution/Value] The results of this study can provide insights for automotive brand managers, automobile 4S store designers, and others aiming to promote the sustainable development of automotive consumption. Full article
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