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Responsible Sourcing in Supply Chains

Author

Listed:
  • Ruixue Guo

    (Management Science & Engineering, School of Engineering, Stanford University, Stanford, California 94305)

  • Hau L. Lee

    (Graduate School of Business, Stanford University, Stanford, California 94305)

  • Robert Swinney

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

Abstract

We analyze the sourcing decision of a buyer choosing between two supplier types: responsible suppliers are costly but adhere to strict social and environmental responsibility standards, whereas risky suppliers are less expensive but may experience responsibility violations. A segment of the consumer population, called socially conscious, is willing to pay a higher price for a product sourced from a responsible supplier and may not purchase in the event of a responsibility violation from a risky supplier. We identify four possible sourcing strategies that a buyer might employ: low cost sourcing (sourcing from the risky supplier), dual sourcing, responsible niche sourcing (sourcing from a responsible supplier and selling only to socially conscious consumers), and responsible mass market sourcing (sourcing responsibly and selling to all consumers). We determine when each strategy is optimal and show that efforts to improve supply chain responsibility that focus on consumers (by increasing their willingness to pay for responsibility or increasing the number of consumers that are socially conscious) or increasing supply chain transparency may lead to unintended consequences, such as an increase in risky sourcing. Efforts that focus on enforcement and penalizing the buyer, however, never backfire and always lead to more responsible sourcing and less risky sourcing. This paper was accepted by Yossi Aviv, operations management .

Suggested Citation

  • Ruixue Guo & Hau L. Lee & Robert Swinney, 2016. "Responsible Sourcing in Supply Chains," Management Science, INFORMS, vol. 62(9), pages 2722-2744, September.
  • Handle: RePEc:inm:ormnsc:v:62:y:2016:i:9:p:2722-2744
    DOI: 10.1287/mnsc.2015.2256
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    References listed on IDEAS

    as
    1. Sang-Hyun Kim, 2015. "Time to Come Clean? Disclosure and Inspection Policies for Green Production," Operations Research, INFORMS, vol. 63(1), pages 1-20, February.
    2. Tim Kraft & Yanchong Zheng & Feryal Erhun, 2013. "The NGO's Dilemma: How to Influence Firms to Replace a Potentially Hazardous Substance," Manufacturing & Service Operations Management, INFORMS, vol. 15(4), pages 649-669, October.
    3. David Doorey, 2011. "The Transparent Supply Chain: from Resistance to Implementation at Nike and Levi-Strauss," Journal of Business Ethics, Springer, vol. 103(4), pages 587-603, November.
    4. Chen, Jen-Yi & Slotnick, Susan A., 2015. "Supply chain disclosure and ethical sourcing," International Journal of Production Economics, Elsevier, vol. 161(C), pages 17-30.
    5. Brian Tomlin, 2006. "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks," Management Science, INFORMS, vol. 52(5), pages 639-657, May.
    6. Preyas S. Desai, 2001. "Quality Segmentation in Spatial Markets: When Does Cannibalization Affect Product Line Design?," Marketing Science, INFORMS, vol. 20(3), pages 265-283, August.
    7. K. Sridhar Moorthy & I. P. L. Png, 1992. "Market Segmentation, Cannibalization, and the Timing of Product Introductions," Management Science, INFORMS, vol. 38(3), pages 345-359, March.
    8. K. Sridhar Moorthy, 1984. "Market Segmentation, Self-Selection, and Product Line Design," Marketing Science, INFORMS, vol. 3(4), pages 288-307.
    Full references (including those not matched with items on IDEAS)

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