Antecedents and consequences of supply chain risk management capabilities: an investigation in the post-coronavirus crisis

Abstract

This study evaluates the antecedents and consequences of supply chain risk management capabilities. Informed by the information processing theory, we conceptualize supply chain disruption orientation as an organic control and supply chain visibility as a mechanistic control. Both control mechanisms build the information processing capacities, which need to fit with the information processing requirements imposed by disruption impact during the adverse supply chain disruptions in the wake of the Coronavirus Covid-19 pandemic. When the fit is realized, supply chain risk management capabilities will be improved. This study also examines the role of supply chain risk management capabilities in bolstering supply chain resilience to the catastrophic occurrence. Our findings indicate the fit between information processing capacities and requirements enhances supply chain risk management capabilities, which, in turn, result in enhanced supply chain resilience.

KEYWORDS:

• Disruption orientation
• impact
• visibility
• risk management
• resilience

Acknowledgements

The authors are grateful to the anonymous reviewers for their constructive comments and suggestions on earlier versions of this paper. This study was funded in part by National Natural Science Foundation of China (71772163, 71673240, and 71572041).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes on contributors

Jie Yang is currently a Professor of Operations and Supply Chain Management in the School of Business Administration at University of Houston-Victoria. Her research interests include knowledge management, supply chain management, and the interface between BSR and performance measurement.

Hongming Xie is a Professor in School of Management, Guangzhou University, China. His research interests include strategic management, innovation management in digital contexts. His articles have been published in journals such as Economic Research Journal, International Journal of Production Economics, International Journal of Production Research, Management world and other management journals.

Guangsheng Yu is an Associate Professor in the Department of Business Administration of the School of Management at Fudan University in Shanghai. His major research interests focus on corporate strategic management and knowledge management.

Mingyu Liu is an Associate Professor in the Department of Industrial Economics of the School of Management at Fudan University in Shanghai. His research interests include strategic innovation, industrial development & corporate growth, industrial investment, and digital economy.

Additional information

Funding

This work was supported by National Natural Science Foundation of China: [grant number 71772163, 71673240, and 71572041].