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Customer Bargaining Power, Strategic Fit, and Supplier Performance

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  • Hsihui Chang
  • Sheng Liu
  • Raj Mashruwala

Abstract

Prior studies report mixed evidence on the impact of customers' bargaining power on supplier performance. We shed light on this mixed evidence by considering the moderating role of strategic fit. A strategically aligned supplier can provide long‐term benefits to the customer. As a result, powerful customers may trade off the short‐term benefits obtained through supplier concessions with the long‐term benefits derived from strategic fit. Thus, strategic fit can mitigate the negative impact of customers' bargaining power on supplier performance. We use data on supplier–customer dyads identified using financial disclosures of firms' major customers to examine this research question. We find that a strategic fit between suppliers and their customers on three distinct dimensions (innovation, customer orientation, and efficiency) attenuates the negative association between customers' relative bargaining power and supplier performance. These findings are robust to several sensitivity tests.

Suggested Citation

  • Hsihui Chang & Sheng Liu & Raj Mashruwala, 2022. "Customer Bargaining Power, Strategic Fit, and Supplier Performance," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1492-1509, April.
  • Handle: RePEc:bla:popmgt:v:31:y:2022:i:4:p:1492-1509
    DOI: 10.1111/poms.13627
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    References listed on IDEAS

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    1. Dan Dhaliwal & Paul N. Michas & Vic Naiker & Divesh Sharma, 2020. "Greater Reliance on Major Customers and Auditor Going‐Concern Opinions," Contemporary Accounting Research, John Wiley & Sons, vol. 37(1), pages 160-188, March.
    2. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    3. Shail Pandit & Charles E. Wasley & Tzachi Zach, 2011. "Information Externalities along the Supply Chain: The Economic Determinants of Suppliers’ Stock Price Reaction to Their Customers’ Earnings Announcements," Contemporary Accounting Research, John Wiley & Sons, vol. 28(4), pages 1304-1343, December.
    4. Kathleen A. Bentley & Thomas C. Omer & Nathan Y. Sharp, 2013. "Business Strategy, Financial Reporting Irregularities, and Audit Effort," Contemporary Accounting Research, John Wiley & Sons, vol. 30(2), pages 780-817, June.
    5. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    6. Hsihui Chang & Jengfang Chen & Shu‐Wei Hsu & Raj Mashruwala, 2018. "The Impact of the Bullwhip Effect on Sales and Earnings Prediction Using Order Backlog," Contemporary Accounting Research, John Wiley & Sons, vol. 35(2), pages 1140-1165, June.
    7. Dhaliwal, Dan & Judd, J. Scott & Serfling, Matthew & Shaikh, Sarah, 2016. "Customer concentration risk and the cost of equity capital," Journal of Accounting and Economics, Elsevier, vol. 61(1), pages 23-48.
    8. Erin Anderson & Barton Weitz, 1989. "Determinants of Continuity in Conventional Industrial Channel Dyads," Marketing Science, INFORMS, vol. 8(4), pages 310-323.
    9. Steven Crawford & Ying Huang & Ningzhong Li & Ziyun Yang, 2020. "Customer Concentration and Public Disclosure: Evidence from Management Earnings and Sales Forecasts†," Contemporary Accounting Research, John Wiley & Sons, vol. 37(1), pages 131-159, March.
    10. Banker, Rajiv D. & Lee, S.-Y.Seok-Young & Potter, Gordon & Srinivasan, Dhinu, 2000. "An empirical analysis of continuing improvements following the implementation of a performance-based compensation plan," Journal of Accounting and Economics, Elsevier, vol. 30(3), pages 315-350, December.
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    1. Sining Song & Yan Dong & Thomas Kull & Craig Carter & Kefeng Xu, 2023. "Supply chain leakage of greenhouse gas emissions and supplier innovation," Production and Operations Management, Production and Operations Management Society, vol. 32(3), pages 882-903, March.
    2. Jyun‐Ying Fu, 2023. "Customer concentration and corporate charitable donations: Evidence from China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 545-561, January.
    3. Schniederjans, Dara G. & Khalajhedayati, Mehrnaz, 2023. "Corporate Responsibility Communication and Score Trends: A Buyer and Supplier Perspective," International Journal of Production Economics, Elsevier, vol. 257(C).
    4. Guo, Chenhao & Ke, Yun & Zhang, Jinkang, 2023. "Digital transformation along the supply chain," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    5. Wenjin Hu & Keith Skowronski & Yan Dong & Yongyi Shou, 2023. "Mergers and acquisitions in supply bases," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1059-1078, April.
    6. Sunil Mithas & Yanzhen Chen & Yatang Lin & Alysson De Oliveira Silveira, 2022. "On the causality and plausibility of treatment effects in operations management research," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4558-4571, December.

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