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Joint supply chain risk management: An agency and collaboration perspective

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  • Li, Gang
  • Fan, Huan
  • Lee, Peter K.C.
  • Cheng, T.C.E.

Abstract

As supply chain risks refer to the risks transmitted among supply chain members and supply chain management (SCM) is concerned with close collaboration among chain members to enhance the chain׳s overall performance, we argue that we need to use an SCM perspective in supply chain risk management (SCRM). We identify risk information sharing and risk sharing mechanism as two important joint SCRM practices. Drawing on the literature on agency theory and collaborative relationships, we argue that the effectiveness of these two joint practices in improving financial performance can be strengthened by collaborative relationship characteristics including relationship length, supplier trust, and shared SCRM understanding. We empirically test our conceptual model using the data collected from 350 manufacturing firms in China. The results suggest that both risk information sharing and risk sharing mechanism improve financial performance, and the effectiveness of the former is strengthened by relationship length and supplier trust, while that of the latter is strengthened by shared SCRM understanding. We contribute to research and practice by identifying two useful joint SCRM practices and ascertaining the conditions under which each of the practices is particularly effectively.

Suggested Citation

  • Li, Gang & Fan, Huan & Lee, Peter K.C. & Cheng, T.C.E., 2015. "Joint supply chain risk management: An agency and collaboration perspective," International Journal of Production Economics, Elsevier, vol. 164(C), pages 83-94.
  • Handle: RePEc:eee:proeco:v:164:y:2015:i:c:p:83-94
    DOI: 10.1016/j.ijpe.2015.02.021
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Govindan, Kannan & Chaudhuri, Atanu, 2016. "Interrelationships of risks faced by third party logistics service providers: A DEMATEL based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 177-195.
    2. Oliva, Fábio Lotti, 2016. "A maturity model for enterprise risk management," International Journal of Production Economics, Elsevier, vol. 173(C), pages 66-79.
    3. Raza, Syed Asif & Rathinam, Sivakumar, 2017. "A risk tolerance analysis for a joint price differentiation and inventory decisions problem with demand leakage effect," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 129-145.
    4. Fan, Huan & Li, Gang & Sun, Hongyi & Cheng, T.C.E., 2017. "An information processing perspective on supply chain risk management: Antecedents, mechanism, and consequences," International Journal of Production Economics, Elsevier, vol. 185(C), pages 63-75.
    5. Zeng, Bingcong & Yen, Benjamin P.-C., 2017. "Rethinking the role of partnerships in global supply chains: A risk-based perspective," International Journal of Production Economics, Elsevier, vol. 185(C), pages 52-62.
    6. repec:eee:proeco:v:191:y:2017:i:c:p:311-322 is not listed on IDEAS
    7. repec:eee:proeco:v:193:y:2017:i:c:p:332-342 is not listed on IDEAS
    8. Kauppi, Katri & Longoni, Annachiara & Caniato, Federico & Kuula, Markku, 2016. "Managing country disruption risks and improving operational performance: risk management along integrated supply chains," International Journal of Production Economics, Elsevier, vol. 182(C), pages 484-495.

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