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Influences of Cognitive Structure Variables on Miners’ Unsafe Behavior Intentions
Author(s) -
Gonglong Shi,
Haisong Tan,
Hongxia Li,
Qian Wang,
Shuicheng Tian
Publication year - 2021
Publication title -
advances in civil engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.379
H-Index - 25
eISSN - 1687-8094
pISSN - 1687-8086
DOI - 10.1155/2021/5556396
Subject(s) - structural equation modeling , cognition , perception , psychology , risk perception , psychological intervention , theory of planned behavior , safety behaviors , path analysis (statistics) , social psychology , applied psychology , human factors and ergonomics , environmental health , poison control , control (management) , computer science , medicine , neuroscience , machine learning , psychiatry , artificial intelligence
In order to study the influence of cognitive structure variables on miners’ unsafe behavior intentions, using TPB as the basic theoretical framework, a hypothesis model of miners’ unsafe behavior intentions was constructed including three cognitive structure variables of risk perception, behavior experience, and safety awareness. The statistical results of 236 valid questionnaires were used to verify the authenticity of the model; the structural equation model was used to investigate and reveal the influence path of cognitive structure variables on miners’ unsafe behavior intentions. This study shows that risk perception, behavior experience, and safety awareness have a significant positive impact on miners’ unsafe behavior intentions. Behavior intentions have a guiding effect on behavioral outcomes. By adopting interventions, miners can be guided to reduce unsafe behaviors to avoid production safety accidents.

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