Impact of the Dynamicity of Workgroup Changes on Social Influence of Construction Workers’ Safety Behaviors
Publication: Computing in Civil Engineering 2021
ABSTRACT
Recently, researchers have paid increased attention to the social and cognitive aspects of workers’ safety behaviors. In the same vein, researchers have begun modeling the socio-cognitive process of workers’ safety behaviors. However, an inquiry into the impact of workgroup changes on social influence remains limited. Workgroups in a construction project dynamically change because workers enter and leave according to the project schedule. Considering that changes in workgroups affect the social network of the project, and the transmission of the social norms occurs through the social network, workgroup changes should be considered. In this paper, an agent-based model is developed to investigate how the dynamicity of workgroup changes affects the socio-cognitive process of workers’ safety behavior. Three experiments examining the effect of the dynamicity of workgroup changes [i.e., static (no turnover), mildly dynamic (modest turnover), and highly dynamic (high turnover) change] in three site risk conditions (i.e., low, modest, and high site risk conditions) were conducted. The results indicate that while the incident rates for the static and mildly dynamic changes are significantly higher than the highly dynamic changes in the modest and high-risk condition, the differences in the incident rates for the three dynamicity changes are not significant in the low-risk condition. The findings provide construction practitioners with insight into the development of safety management interventions by exploring the interaction between the workgroup changes and site risk conditions. Also, this study contributes to the body of knowledge of construction safety by testing the importance of the workgroup changes in the socio-cognitive process of workers’ safety behaviors.
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REFERENCES
Anderson, K., Ahn, S., and Lee, S. (2014). “Social Learning’s Effect on Absenteeism: The Effect of Project Turnover.” Construction Research Congress 2014, American Society of Civil Engineers, 199–208.
Choi, B., Hwang, S., and Lee, S. (2017a). “What drives construction workers’ acceptance of wearable technologies in the workplace?: Indoor localization and wearable health devices for occupational safety and health.”Automation in Construction. 84 (Dec.): 31–41.
Choi, B., Ahn, S., and Lee, S. (2017b). “Construction Workers’ Group Norms and Personal Standards Regarding Safety Behavior: Social Identity Theory Perspective.” Journal of Management in Engineering, 04017001.
Choi, B., Ahn, S., and Lee, S. (2017c). “Role of Social Norms and Social Identifications in Safety Behavior of Construction Workers. I: Theoretical Model of Safety Behavior under Social Influence.” Journal of Construction Engineering and Management, 04016124.
Choi, B., and Lee, S. (2017). “An Empirically Based Agent-Based Model of the Sociocognitive Process of Construction Workers’ Safety Behavior.” Journal of Construction Engineering and Management, 144(2), 04017102.
Fang, D., Zhao, C., and Zhang, M. (2016). “A Cognitive Model of Construction Workers’ Unsafe Behaviors.” Journal of Construction Engineering and Management, 142(9), 04016039.
Heinrich, H. W., Petersen, D., Roos, N. R., Brown, J., and Hazlett, S. (1980). Industrial accident prevention: a safety management approach, McGraw-Hill, New York.
Liang, H., Lin, K.-Y., and Zhang, S. (2018). “Understanding the Social Contagion Effect of Safety Violations within a Construction Crew: A Hybrid Approach Using System Dynamics and Agent-Based Modeling.” International Journal of Environmental Research and Public Health, 15(12), 2696.
Lichtenstein, S., Slovic, P., Fischhoff, B., Layman, M., and Combs, B. (1978). “Judged frequency of lethal events.” Journal of experimental psychology: Human learning and memory, 4(6), 551.
Lingard, H., Cooke, T., and Blismas, N. (2011). “Coworkers’ response to occupational health and safety: An overlooked dimension of group-level safety climate in the construction industry?” Engineering, construction and architectural management, 18(2), 159–175.
Rasmussen, J. (1986). Information processing and human-machine interaction: an approach to cognitive engineering, North-Holland, New York.
Reason, J. (2000). “Human error: models and management.” BMJ : British Medical Journal, 320(7237), 768–770.
Rodríguez-Garzón, I., Lucas-Ruiz, V., Martínez-Fiestas, M., and Delgado-Padial, A. (2014). “Association between Perceived Risk and Training in the Construction Industry.” Journal of Construction Engineering and Management, 141(5), 04014095.
Shin, M., Lee, H.-S., Park, M., Moon, M., and Han, S. (2014). “A system dynamics approach for modeling construction workers’ safety attitudes and behaviors.” Accident Analysis & Prevention, 68(0), 95–105.
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Published online: May 24, 2022
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