The Impact of Employee Behavior on Business Continuity at an Industrial Complex

• Main Authors: Kodaka, Akira, Leelawat, Natt, Ino, Eri, Tang, Jing, Park, Jaehyun, Kohtake, Naohiko
• Format: Conference Proceeding
• Language: English
• Subjects: Area BCM; Bayes methods; Business continuity; Companies; Dynamic Bayesian Network; Interdependency; Predictive models; Public-Private-Partnership; Silicon; Stakeholders; System dynamics
• ISSN: 2687-8828
• DOI: 10.1109/ISSE51541.2021.9582516

To maintain the business continuity of tenant companies in an industrial complex, it is important to understand the interdependencies among multiple stakeholders and to identify their vulnerabilities against common threats. Area Business Continuity Management is a framework, offering a guidance for the coordinated disaster damage mitigation both employees of tenant companies and local residents in the industrial complex. Therefore, disasters typically affect the business, and it is also directly associated with the worker 's capability to deal with the disasters. Employees 'intention and ability to reach work is one of the most important factors, affecting the employer 's business continuity. Nevertheless, it is still unclear how to incorporate their societal (community and individual) behaviors into a model of the private sector business continuity. With this problem, this study invited the Dynamic Bayesian Network dependency analysis as the concept of system dynamics to understand the factors of employees'work attendance to the business continuity. Using this analysis, it incorporated the employees 'behavioral dimensions into the design of Area BCM. As an empirical study, we conducted a preliminary result by a case company at the Rojana Industrial Park in Phra Nakhon Si Ayutthaya Province, Thailand. Throughout this case study, it sought to develop a model of how to determine the employees'ability to attend work by taking related variables into account.