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Ahn, S and Lee, S (2015) Methodology for Creating Empirically Supported Agent-Based Simulation with Survey Data for Studying Group Behavior of Construction Workers. Journal of Construction Engineering and Management, 141(01).
- Type: Journal Article
- Keywords: Agent-based modeling and simulation (ABMS); Worker behavior; Group behavior; Social norm; Absenteeism; Quantitative methods;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000918
- Abstract:
Construction workers’ attitudes and behaviors are one of the most important factors of a construction project’s performance. As the attention paid to the impact of social influences and norms on worker behavior grows, agent-based modeling and simulation (ABMS) emerges as a research tool for studying workers’ group behavior. With ABMS, researchers can uncover the underlying process of group behavior emerging from individuals’ interactions in an organization. However, validating agent-based simulation with real data is the greatest challenge in using ABMS for organizational behavior research. With this background in mind, the objective of this paper is to propose a methodology for creating an empirically supported agent-based model for studying workers’ behavior influenced by social norms. The proposed methodology suggests that empirical data collected by a questionnaire can be used for ABMS in three steps: (1) testing the agent behavior rules used in an agent-based model (i.e., testing the modeling assumptions), (2) demonstrating the model behavior’s qualitative agreement with real workers’ behavior (i.e., testing the simulation results against real data in a qualitative manner), and (3) creating a specific agent-based model with the model parameters that correspond to a specific empirical case. A specific agent-based model created in this way can then be seen as a scenario generator that corresponds to a specific reality and can be used to answer what if questions. Therefore, the model can be used to develop policies/interventions to improve workers’ behavior in a given situation. The proposed methodology is illustrated by a study on construction workers’ absenteeism that was conducted by the authors. This paper contributes to the body of knowledge of workforce management in construction; the proposed methodology provides a means of simulating workers’ group behavior and developing policies/interventions to improve worker behavior at the group level in construction.
Arroyo, P, Tommelein, I D and Ballard, G (2015) Comparing AHP and CBA as Decision Methods to Resolve the Choosing Problem in Detailed Design. Journal of Construction Engineering and Management, 141(01).
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Patel, D A and Jha, K N (2015) Neural Network Model for the Prediction of Safe Work Behavior in Construction Projects. Journal of Construction Engineering and Management, 141(01).
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