TY - GEN
T1 - The Impact of Employee Behavior on Business Continuity at an Industrial Complex
AU - Kodaka, Akira
AU - Leelawat, Natt
AU - Ino, Eri
AU - Tang, Jing
AU - Park, Jaehyun
AU - Kohtake, Naohiko
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/9/13
Y1 - 2021/9/13
N2 - 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.
AB - 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.
KW - Area BCM
KW - Business Continuity
KW - Dynamic Bayesian Network
KW - Interdependency
KW - Public-Private-Partnership
UR - http://www.scopus.com/inward/record.url?scp=85119090628&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85119090628&partnerID=8YFLogxK
U2 - 10.1109/ISSE51541.2021.9582516
DO - 10.1109/ISSE51541.2021.9582516
M3 - Conference contribution
AN - SCOPUS:85119090628
T3 - ISSE 2021 - 7th IEEE International Symposium on Systems Engineering, Proceedings
BT - ISSE 2021 - 7th IEEE International Symposium on Systems Engineering, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Symposium on Systems Engineering, ISSE 2021
Y2 - 13 September 2021 through 15 September 2021
ER -