Navigating unsafe behavioral decision-making in workplaces: An agent-based simulation for intervention and management.
Background: Workers' unsafe behaviors primarily cause accidents in workplaces. Despite extensive research on the antecedents of unsafe behaviors, understanding workers' dynamic decision-making under the influence of safety cognition, group interactions, management, site conditions, and behavioral ou...
| Publicado en: | Work Vol. 84; no. 2; pp. 491 - 511 |
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| Autores principales: | , , , |
| Formato: | algorithm equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Jun2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194160564&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194160564 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10519815 3RC jtl: Work issn: 10519815 maglogo: N pubinfo: dt: Jun2026 vid: 84 iid: 2 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 194160564 190837904 194160564 194160564 10.1177/10519815251409139 194160564 ppf: 491 ppct: 20 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Navigating unsafe behavioral decision-making in workplaces: An agent-based simulation for intervention and management. aug: au: Meng, Qingfeng Zhao, Jiangtao Li, Zhen Chong, Heap-Yih affil: School of Management, Jiangsu University, Zhenjiang, China sug: subj: Work Environment Occupational Safety Education Risk Taking Behavior Prevention and Control Decision Making Education Simulations Construction Industry Blue Collar Workers Education Accidents, Occupational Risk Factors Accidents, Occupational Prevention and Control Outcomes of Education Evaluation Punishment Human Organizational Policies Cognition Management Rules and Regulations Occupational Health Health Promotion Funding Source Experimental Studies Models, Theoretical Algorithms Learning Pearson's Correlation Coefficient Mann-Whitney U Test Descriptive Statistics ab: Background: Workers' unsafe behaviors primarily cause accidents in workplaces. Despite extensive research on the antecedents of unsafe behaviors, understanding workers' dynamic decision-making under the influence of safety cognition, group interactions, management, site conditions, and behavioral outcomes as a holistic system remains limited. Objective: This study aims to explore workers' safety performance across different site risk environments and various intervention measures, including the effects of intervention frequency, punishment strictness, and interaction intensity on dynamic safety performance in low, medium, and high-risk environments. Methods: An agent-based simulation model considering multiple factors of individual safety cognition and behavioral decision-making was conducted. It examined the complex roles of workers' cognitive decision-making processes within workgroup interactions, management strategies, and environmental contexts. Results: The results reveal that: (a) management interventions effectively reduce unsafe behaviors across all risk environments; (b) punishment strictness significantly inhibits unsafe behaviors, with moderate punishment being most effective in low-risk environments; (c) the impact of worker interactions varies significantly by risk level—limiting interactions in low-risk environments, promoting interactions in medium-risk environments, and additional measures are needed in high-risk environments to reduce unsafe behaviors. Conclusion: This research lays a new foundation for the causes of workers' unsafe behaviors when corresponding with effective management strategies. It also provides valuable insights for project managers in cognitive management and policy analysis. pubtype: Academic Journal doctype: algorithm equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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