Modifying Business Continuity Plan (BCP) Towards an Effective Auto-Mobile Business Continuity Management (BCM): A Quantitative Approach
Abednico Lopang Montshiwa*,†, Akio Nagahira*, and Shuichi Ishida**
*Graduate School of Engineering, Tohoku University
661180 Aza-Aoba-ku, Sendai, Miyagi 980-8579, Japan
**Graduate School of Technology Management, Ritsumeikan University, Osaka, Japan
Traditionally BCP consists of two main aspects, being Business Impact Analysis (BIA) and Risk Assessment (RA) [3,,8]. However, this approach doesn’t seem to be sufficiently addressing the complex and elaborate nature of supply chain network in the automobile industry. To address this insufficiency, we replace RA with Risk Ranking (RR) and introduce a new term Supply Chain Cooperation (SCC) to our BCP. A quantitative study was carried on 75 automobile parts markers in disaster prone regions (Asia and North America) and the results were analyzed by adopting this modified BCP concept and using Smart PLS 2.0 as our statistical analysis tool. We realized that SCC has a positive total significant effect on manmade risk rankings, natural risk ranking and BCM. Though risk ranking affects BCM, recovery time and competitive advantages positively, the relationships were not significant. In this study, we realized that BIA is the single most important part of BCP as it had the strongest positive total effects on other BCP factors (SCC, manmade risk ranking and natural risk ranking), BCM and evaluation factors (competitive advantages and recovery time).
-  R. Akkiraju, D. Bhattacharjya, and S. Gupta, “Towards effective business process availability management,” Annual SRII global conference, Vol.36, pp. 242-251, 2011.
-  S. Andersson, “The network perspective – Its origin and differences to the marketing management approach,” p. 91, ESBRI. 1998.
-  S. C. Cha, P. W. Juo, L. T. Liu, and W. N. Chen, “Riskpatrol: a risk management system considering the integration risk management with business continuity process,” IEEE. Int. Conf. Intell. Secur. Inform., pp. 110-115, 2008.
-  W. W. Chin, “The partial least squares approach to structural equation modeling,” Modern methods for business research, Vol.295, No.2, pp. 295-336, 1998.
-  Centre for strategy and Evaluation, “Evaluation of the SME definition report,” Sevenoaks, United kingdom, 2012.
-  B. Efron, “Tibshirani, R. Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy,” Statist. Sci., Vol.1, No.1, pp. 54-75, 1986.
-  S. C. Ellis, J. Shockley, and R. M. Henry, “Making sense of supply disruption risk research: a conceptual framework grounded in enactment theory,” J. of supply chain, Vol.47, No.2, pp. 65-96, 2011.
-  F. Fasolis, V. Vassalos, and A. I. Kokkinaki, “Designing and developing a business continuity plan based on collective intelligence,” IFIP Int. Federation for information processing, Vol.399, pp. 278-285, 2013.
-  T. Fujimoto, A. Gunasekaran, and P. Hong, “Building supply chain capabilities in the age of global complexity: Emerging theories and practices,” Int. journal of production economics, Vol.147, pp. 189-197, 2014.
-  T. Fujimoto, “The long tail of the auto industry life cycle,” J. of Product innovation management, Vol.31, No.1, pp. 8-16, 2014.
-  Guha-Sapir, Debby, et al. “Annual disaster statistical review 2010,” Centre for Research on the Epidemiology of Disasters, 2011.
-  Hair Jr., F. Joseph, and B. Lukas, “Marketing research,” McGraw-Hill Education Australia, 2014.
-  ISO 22301, “Societal security – Business Continuity management systems – Requirements. Terms and definitions,” In; terms and definitions, Switzerland. Int. Organization for Standardization. 2012.
-  J. Jayaram, D. Mita, and M. Jaideep, “Supply chain management capability of small and medium sized family business in India: A multiple case study approach,” Int. J. of production economics, Vol.147, pp. 472-485, 2014.
-  C. A. MacKenzie, J. R. Santos, and K. Baker, “Measuring changes in international production from disruption: Case study of Japanese earthquake and tsunami,” Int. J. of economics, Vol.138, pp. 293-302, 2012.
-  P. Sharma, “An overview of the field of family business studies: current status and directions for the future,” Family business review, Vol.17, No.1, pp. 1-36, 2004.
-  J. C. Nunnally and I. H. Bernstein, “Psychometric theory” (3rd Ed.), New York, NY: McGraw-Hill, Inc. 1994.
-  S. Tjoa, S. Jakoubi, G. Quirchmayr, “Enhancing business impact analysis and risk assessment applying a risk – aware Business process modelling and simulation methodology,” In: The third international conference on availability, reliability and security, 2008.
-  S. A. Torabi, S. H. Rezaei, and N. Sahebjamnia, “A new approach for business impact assessment in business continuity management (with a case study, safety science),” Vol.68, pp. 309-323, 2014.
-  K. K. K. Wong, “Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS,” Marketing Bulletin, Vol.24, No.1, pp. 1-32, 2013.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.