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Path Analysis Model for Supply Chain Risk Management

Path Analysis Model for Supply Chain Risk Management

Satyendra Kumar Sharma, Anil Bhat, Vinod Kumar, Aayushi Agarwal
Copyright: © 2018 |Pages: 24
ISBN13: 9781522539094|ISBN10: 1522539093|EISBN13: 9781522539100
DOI: 10.4018/978-1-5225-3909-4.ch021
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MLA

Sharma, Satyendra Kumar, et al. "Path Analysis Model for Supply Chain Risk Management." Operations and Service Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2018, pp. 428-451. https://doi.org/10.4018/978-1-5225-3909-4.ch021

APA

Sharma, S. K., Bhat, A., Kumar, V., & Agarwal, A. (2018). Path Analysis Model for Supply Chain Risk Management. In I. Management Association (Ed.), Operations and Service Management: Concepts, Methodologies, Tools, and Applications (pp. 428-451). IGI Global. https://doi.org/10.4018/978-1-5225-3909-4.ch021

Chicago

Sharma, Satyendra Kumar, et al. "Path Analysis Model for Supply Chain Risk Management." In Operations and Service Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 428-451. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3909-4.ch021

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Abstract

The purpose of this paper is to develop a model to understand the relationship of supply chain risk sources, risk drivers, and risk mitigation strategies to the overall risk exposure of the firm and to validate the model empirically. An attempt has been made to determine the major contributors of supply chain risk as viewed by automotive professionals in today's competitive market. This study empirically validates the effects of the three critical constructs on overall supply chain risk exposure. The limitations of this study can be seen in the use of perceptual data from single informants and the focus on automotive firms in a single country. The detailed operationalization of the constructs sheds further light on the major risk sources, drivers, and mitigation strategies in supply chain networks. Clear evidence of proactive strategies in mitigating risks provides managers with a business case to invest in such initiatives.

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