AN ORGANIZATIONAL-LEVEL TEST OF A PARTIALLY MEDIATED MODEL OF RISKY DECISION MAKING BEHAVIOR.

Two different reasons to show risky behavior have been identified: Risk proneness and the lack of loss aversion. So far, the number of empirical studies investigating the influence of trait greed, anxiety, and age on risky decision behavior, differentiating between risk sensitivity and loss aversion, is very limited and inconsistent findings exist. The present study investigated this issue using variants of the Balloon Analogue Risk Task (BART) in an online study. Risky decision-making behavior was then assessed by administering two versions of the BART, a gain only and a mixed gambling BART. A total of 54 male and 51 female subjects participated in the study. It could be shown that individuals with a high expression of the personality trait greed show an increased risky decision behavior due to an increased risk sensitivity and not due to a reduced loss aversion. This is partly in contrasts with previous findings in other tasks assessing risk sensitivity and loss aversion. These differences may be due to the changes of perception during the gain only task.No significant effect was found between the personality trait anxiety or age and risky decision-making behavior. This could be since no pathologically anxious subjects were used for the sample, or respectively due to an unbalanced distribution of age.

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Risky Decision-Making Behavior Research of Port Enterprises Based on Prospect Theory

ICTE 2013 ◽

10.1061/9780784413159.398 ◽

2013 ◽

Author(s):

Hongmei Zhou ◽

Lingli Liu ◽

Bo Zhou

Keyword(s):

Decision Making ◽

Prospect Theory ◽

Risky Decision Making ◽

Risky Decision ◽

Decision Making Behavior

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Risk-Taking Unmasked: Using Risky Choice and Temporal Discounting to Explain COVID-19 Preventative Behaviors

10.31234/osf.io/uaqc2 ◽

2020 ◽

Author(s):

Kaileigh A. Byrne ◽

Stephanie Gabrielle Six ◽

Reza Ghaiumy Anaraky ◽

Maggie W. Harris ◽

Emma L. Winterlind

Keyword(s):

Decision Making ◽

Individual Differences ◽

Temporal Discounting ◽

The United States ◽

Risky Choice ◽

Risky Decision Making ◽

Risky Decision ◽

Social Distancing ◽

Prevention Guidelines ◽

Decision Making Behavior

To reduce the spread of COVID-19 transmission, government agencies in the United States (US) have recommended COVID prevention guidelines, including wearing masks and social distancing. However, compliance with these guidelines have been inconsistent. This study examined whether individual differences in decision-making and motivational propensities predicted compliance with COVID-19 preventative behaviors in a representative sample of US adults (N=225). Participants completed an online study in September 2020 that included a risky choice decision-making task, temporal discounting task, and measures of appropriate mask wearing, social distancing, and perceived risk of engaging in public activities. Linear regression results indicated that greater risky decision-making behavior and temporal discounting were associated with less appropriate mask-wearing behavior and social distancing. Additionally, demographic factors, including political affiliation and income level, were also associated with differences in COVID-19 preventative behaviors. Path analysis results showed that risky decision-making behavior, temporal discounting, and risk perception collectively predicted 61% of the variance in appropriate mask-wearing behavior. Individual differences in general decision-making patterns are therefore highly predictive of who complies with COVID-19 prevention guidelines.

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103 Young Adult’s Sleep Efficiency is Positively Related to Risky Decision- Making in Novel BART

SLEEP ◽

10.1093/sleep/zsab072.102 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A42-A42

Author(s):

Nicole Duby ◽

Jack Morgan Mizell ◽

Alisa Huskey ◽

Sophie Pinkston Wardle ◽

Daniel Taylor ◽

...

Keyword(s):

Decision Making ◽

Young Adults ◽

Sleep Quality ◽

Risk Taking ◽

Sleep Efficiency ◽

Self Report ◽

Risky Decision Making ◽

Risky Decision ◽

The One ◽

Decision Making Behavior

Abstract Introduction Numerous studies have indicated that poor sleep quality is relatively common among young adults and is related to less than optimal decision-making behavior. In order to assess decision-making behavior, we utilize a new variant of a Balloon Analogue Risk Task (BART) to assess sleep efficiency and other self-report measures’ relation to risky decision-making in young adults. We hypothesize that individuals who have poorer sleep will make more risky decisions than those who have better sleep in a novel measure called the One-Shot BART. Methods 200 undergraduate participants were recruited from the University of Arizona Psychology subject pool. Participants completed sleep quality questionnaires including the Sleep Condition Indicator and Split-Week Self-Assessment of Sleep-Y. Participants also completed a battery of self-report measures to assess exposure to traumatic events and trauma-related symptoms through the PTSD Checklist and Adverse Childhood Experiences Questionnaire. Lastly, participants were also tasked with completing a novel risk-taking task measure (the One-Shot BART) to assess risk-taking propensity and elucidate the cognitive processes underlying the risk-taking behavior. This task showed a significant correlation with (r=.24, p<.05) real-world risk measures from the RISQ assessment. Results We found that better sleep efficiency showed a positive relationship with risk-taking(r=21, p<.05) in the BART, in conflict with our initial hypothesis that better sleep would lead to less risk-taking. However, in the BART some level of risk-taking is necessary to do well in the task, so risk-taking is beneficial. We found that those people with lower levels of sleep efficiency also performed more randomly in the BART (p<.05), showing that a lack of sleep affects noise in the decision process, which is also supported by our finding showing that people with lower sleep efficiency also show a higher level of response time variability (p<.05). Conclusion Behavioral results from the One-Shot BART are affected by Sleep Efficiency in a college student population. Interestingly, Sleep Efficiency was positively correlated with risky decision making in the One-Shot BART, indicating more optimal risk-taking in the game that may be mirrored in real-world decisions. Support (if any):

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