Abstract
In order to strengthen employees’ safety awareness and reduce the probability of occurrence of employees’ unsafe behaviors, an ABMS-based model was built for emergence of employees’ safety awareness. Applying the software of Netlogo and adjusting the values of agents variables such as employee, manager and organization, effect of social environment on employees’ safety awareness was simulated dynamically. The research results show that employees’ safety awareness is an emergent phenomenon influenced by multiple agents, and that different agents affect employees’ safety awareness differently—the agents, ranked in descending order, are as follows: education level, safety training level, emotional intelligence of managerial staff, and the importance the enterprise attaches to work safety; but effect of public opinion on employees’ safety awareness has bidirectionality.
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Acknowledgments
This research reported herein was supported by the NSFC of China (Grant No.71571091, 71371092).
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Fan, S., Chen, X., Sun, Q. (2018). Emergent Research of Employee Safety Awareness Based on Multi-agent Model. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2017. Advances in Intelligent Systems and Computing, vol 591. Springer, Cham. https://doi.org/10.1007/978-3-319-60591-3_9
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DOI: https://doi.org/10.1007/978-3-319-60591-3_9
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