Structural Equation Modeling of Risk‑Taking Behaviors Based on Personality Dimensions and Risk Power

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).

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.

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.

Studying individuals and errors that may be committed, the system can be in a way that individuals’ unsafe behaviors will reduce.