Structural equation modeling of risk-taking behaviors based on personality dimensions and risk power

Abstract

Aims: Risk-taking behaviors in industries can be one of the essential reasons for unsafe behavior and incident. The purpose of this study was to investigate the interactions between risk-taking behaviors and personality dimensions and develop a model with partial least squares structural equation modeling (PLS-SEM). Methodology: This cross-sectional analytical study was carried out on 96 participants in Hamadan in the west of Iran in 2016. Risk power and personality dimensions of individuals were evaluated using a questionnaire, and risk-taking behavior was also assessed using a balloon analog risk test. The data were modeled using PLS-SEM. Results: In females, the neuroticism dimension had a significant relationship with risk-taking behaviors (P < 0.001). Besides, in males, there was a significant relationship between risk-taking behaviors and extraversion (P < 0.001). Furthermore, people who were more inclined to social acceptance were more risk-averse and self-reported more risk-taking behaviors (P < 0.05). The results of this study showed that people with different personality dimensions have different risk-taking behaviors. Conclusion: Studying individuals and errors that may be committed, the system can be in a way that individuals' unsafe behaviors will reduce.

Keywords

• partial least squares structural equation modeling
• personality
• risk power
• risk-taking behavior