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Bridging and buffering: Strategies for mitigating supply risk and improving supply chain performance

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  • Mishra, Deepa
  • Sharma, R.R.K.
  • Kumar, Sameer
  • Dubey, Rameshwar

Abstract

The area of buyer-supplier risk management is increasingly drawing the attention of academicians and professionals. However, less focus has been given to identifying the right mitigation strategy (specifically, bridging and buffering) for firms having different strategic orientations (such as, prospector, defender and analyzer). To this end, we review the literature and present a theoretical model grounded in strategic choice theory that explores how firms operating in different business environments respond to buyer-supplier risk by adopting appropriate mitigation strategies. The relationship between buyer and supplier is influenced by motivating factors (for example, trust and dependence) as they are the key elements of social exchange theory. Based on a sample of 184 responses from a survey with Indian organizations, we validate the theoretical model and test the research hypotheses using structural equation modelling. Findings reveal that the decision of firms to adopt a particular mitigation strategy varies with the environment in which the firm operates and this decision is majorly influenced by motivating factors. Another interesting finding shows that these mitigation strategies help the firms in managing buyer-supplier risk and enhancing downstream supply chain performance.

Suggested Citation

  • Mishra, Deepa & Sharma, R.R.K. & Kumar, Sameer & Dubey, Rameshwar, 2016. "Bridging and buffering: Strategies for mitigating supply risk and improving supply chain performance," International Journal of Production Economics, Elsevier, vol. 180(C), pages 183-197.
  • Handle: RePEc:eee:proeco:v:180:y:2016:i:c:p:183-197
    DOI: 10.1016/j.ijpe.2016.08.005
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    10. Carole Donada & Caroline Danièle Mothe & Gwenaelle Nogatchewsky, 2020. "Coordination Modes and Client-Supplier Relationship Performance: The Moderating Effect of Collaborative Risks [Modos de coordinación y desempeño de las relaciones cliente-proveedor: el efecto moder," Post-Print halshs-02376348, HAL.
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    17. R. Rajesh, 2022. "A novel advanced grey incidence analysis for investigating the level of resilience in supply chains," Annals of Operations Research, Springer, vol. 308(1), pages 441-490, January.
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    22. P. Siva Kumar & Ramesh Anbanandam, 2020. "Theory Building on Supply Chain Resilience: A SAP–LAP Analysis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(2), pages 113-133, June.
    23. Sheshadri Chatterjee & Ranjan Chaudhuri, 2022. "Supply chain sustainability during turbulent environment: Examining the role of firm capabilities and government regulation," Operations Management Research, Springer, vol. 15(3), pages 1081-1095, December.
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    25. Gerda Žigienė & Egidijus Rybakovas & Rimgailė Vaitkienė & Vaidas Gaidelys, 2022. "Setting the Grounds for the Transition from Business Analytics to Artificial Intelligence in Solving Supply Chain Risk," Sustainability, MDPI, vol. 14(19), pages 1-23, September.

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