Predictive analysis of miners' group unsafe behavior based on group dynamics and institutional environment

Area of Science:

• Occupational Safety and Health
• Industrial Psychology
• Risk Management in Mining

Background:

• Coal mining is a high-risk industry where miner unsafe behavior is a primary cause of accidents.
• Group dynamics and institutional environment significantly influence miner safety outcomes.

Purpose of the Study:

• To explore combined effects of antecedent variables on group unsafe behavior in miners.
• To analyze complex causal relationships from group dynamics and institutional environment perspectives.
• To identify distinct configurations leading to high and non-high unsafe behaviors.

Main Methods:

• Survey design to gather data on miner behavior and influencing factors.
• Necessary Condition Analysis (NCA) to identify essential conditions for unsafe behavior.
• Fuzzy-set Qualitative Comparative Analysis (fsQCA) to examine complex causal configurations.

Main Results:

• No single factor (group dynamics or institutional environment) is a necessary condition for unsafe behavior.
• Identified four distinct types of high unsafe behavior and two types of non-high unsafe behavior.
• Asymmetrical causal paths were observed for high and non-high unsafe behaviors, with specific configurations identified as most influential.

Conclusions:

• Multiple causal configurations, not isolated factors, lead to group unsafe behavior in miners.
• Understanding these configurations provides targeted intervention strategies for improving mine safety.
• The study offers novel insights into preventing miner group unsafe behavior and enhancing overall mine safety management.