Taking chances? The effect of CEO risk propensity on firms’ risky internationalization decisions

In studying naturalistic human decision-making, it is important to understand how emotional states shape decision-making processes and outcomes. Emotion regulation techniques can improve the quality of decisions, but there are several challenges to evaluating these techniques in a controlled research context. Determining the effectiveness of emotion regulation techniques requires methodology that can: 1) reliably elicit desired emotions in decision-makers; 2) include decision tasks with response measures that are sensitive to emotional loading; and 3) support repeated exposures/trials with relatively-consistent emotional loading and response sensitivity. The current study investigates one common method, the Balloon Analog Risk Task (BART), for its consistency and reliability in measuring the risk-propensity of decision-makers, and specifically how the method’s effectiveness might change over the course of repeated exposures. With the PANASX subjective assessment serving for comparison, results suggest the BART assessment method, when applied over repeated exposures, is reduced in its sensitivity to emotional stimuli and exhibits decision task-related learning effects which influence the observed trends in response data in complex ways. This work is valuable for researchers in decision-making and to guide design for humans with consideration for their affective states.

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Neurostructural correlates of work-related risk propensity (WRP): The PCC gray matter volume mediates the impact of extraversion on WRP

Personality and Individual Differences ◽

10.1016/j.paid.2021.110820 ◽

2021 ◽

Vol 177 ◽

pp. 110820 ◽

Cited By ~ 1

Author(s):

Zhengqiang Zhong ◽

Fumin Deng ◽

Han Ren

Keyword(s):

Gray Matter ◽

Gray Matter Volume ◽

Risk Propensity ◽

Work Related ◽

Matter Volume ◽

Related Risk ◽

The Impact

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Before and after the Quarantine: An Approximate Study on the Psychological Impact of COVID-19 on the Italian Population during the Lockdown Period

Future Internet ◽

10.3390/fi12120229 ◽

2020 ◽

Vol 12 (12) ◽

pp. 229

Author(s):

Lorena Marotta ◽

Andrea Pesce ◽

Andrea Guazzini

Keyword(s):

Quality Of Life ◽

Locus Of Control ◽

Self Efficacy ◽

Social Connectedness ◽

Psychological Impact ◽

Virtual Community ◽

Strong Impact ◽

Italian Population ◽

Risk Propensity

COVID-19 (Corona-Virus Disease 2019) in Italy and the measures that were adopted to contain its diffusion had a strong impact on people’s quality of life and mental health. The objective of the study was to quantify the psychological impact of the lockdown period on the general Italian population during the two weeks when the COVID-19 emergency in Italy was at its peak. The study (1556 adults) was conducted from April 6th to April 12th, 2020. A survey was developed through Google Forms in order to assess different psychological measures (Self Efficacy, Locus of Control, Social Connectedness, Sense of Virtual Community, Flourishing, Positive and Negative Affect, Life Satisfaction, and Risk Propensity). The results were then compared to reference data. Thelockdown period increased arousal mainly for negative emotions, but also for positive emotions, and quality of life seemed to be reduced. From a psychosocial point of view, while social connectedness has decreased during lockdown, probably because of isolation and social distancing, the virtual social community seemed to increase in the same period. Interestingly, we revealed how self efficacy increased during the lockdown period, and, at the same time, the Locus of control appeared as externalized, and the risk propensity as reduced. The results are discussed considering previous literature, and a coherent theoretical framework is proposed in order to refine the forecasting model for the psychological impact of the lockdown.

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Human resources control systems and performance: the role of uncertainty and risk propensity

International Journal of Manpower ◽

10.1108/01437720810872712 ◽

2008 ◽

Vol 29 (2) ◽

pp. 161-187 ◽

Cited By ~ 10

Author(s):

Domingo Verano‐Tacoronte ◽

Santiago Melián‐González

Keyword(s):

Human Resources ◽

Control Systems ◽

Risk Propensity ◽

And Performance

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The Positive Effects of Easy Goals on Decision Quality and Risk Propensity in an MCPLP Task

Decision Sciences ◽

10.1111/j.1540-5915.1992.tb00424.x ◽

1992 ◽

Vol 23 (4) ◽

pp. 880-898 ◽

Cited By ~ 14

Author(s):

Lewis A. Taylor ◽

Richard A. Cosier ◽

Daniel C. Ganster

Keyword(s):

Decision Quality ◽

Risk Propensity ◽

Positive Effects

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Personality Profile of Risk-Takers

Journal of Individual Differences ◽

10.1027/1614-0001/a000346 ◽

2021 ◽

pp. 1-10

Author(s):

Elizabeth D. Joseph ◽

Don C. Zhang

Keyword(s):

Big Five ◽

Risk Taking ◽

Personality Profile ◽

Risk Propensity ◽

Domain Specific ◽

Two Samples ◽

Two Measures ◽

Risk Takers ◽

Risk Taker ◽

Propensity Scale

Abstract. Risk-taking is a long-standing area of inquiry among psychologists and economists. In this paper, we examine the personality profile of risk-takers in two independent samples. Specifically, we examined the association between the Big Five facets and risk-taking propensity across two measures: The Domain-Specific Risk-Taking Scale (DOSPERT) and the General Risk Propensity Scale (GRiPS). At the Big Five domain level, we found that extraversion and agreeableness were the primary predictors of risk-taking. However, facet-level analyses revealed that responsibility, a facet of conscientiousness, explained most of the total variance accounted for by the Big Five in both risk-taking measures. Based on our findings across two samples ( n = 764), we find that the personality profile of a risk-taker is extraverted, open to experiences, disagreeable, emotionally stable, and irresponsible. Implications for the risk measurement are discussed.

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Exploring the Effects of Individual Differences in Function Structure Modeling Behaviors

10.1115/detc2021-71827 ◽

2021 ◽

Author(s):

Apurva Patel ◽

Joshua D. Summers

Keyword(s):

Individual Differences ◽

Goal Orientation ◽

Structure Modeling ◽

Risk Propensity ◽

Input Process ◽

Function Structure ◽

Modeling Process ◽

Survey Instruments ◽

Process Output ◽

Protocol Study

Abstract This paper presents an exploratory study conducted to understand the role of individual differences between designers in the function modeling process and with respect to final models. An input-process-output framework of function modeling is proposed to systematically approach this theory building and discovery research study. Four measures of individual differences are identified of interest. These include the systemizing quotient, goal orientation, risk propensity, and concept design thinking style. Each metric is composed of multiple items that can be assessed through survey instruments. A previously developed protocol study is used to capture function modeling behaviors and a final function structure model. Data collected from the survey instruments and protocol study is processed to generate input, process, and output measures. A regression-based analysis is used to identify correlations in three groups: input-process, input-output, and process-output. Potential correlations of interest are identified within each group. Implications of these correlations are discussed from a function structure modeling perspective and hypotheses for future research are identified based on the patterns observed in this study. Three testable hypotheses are proposed for future investigation: (1) Goal orientation has no effect on activity distribution in the function modeling process, (2) Thinking style has no effect on the function modeling process, and (3) Risk propensity has no effect on element distribution in the function modeling process. Finally, an anticipated experiment is outlined to investigate one of the potential relationships discovered in this study.

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