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How Supplier Economies of Scale Drive Supplier Selection Decisions

Author

Listed:
  • Florian Badorf
  • Stephan M. Wagner
  • Kai Hoberg
  • Felix Papier

Abstract

Supplier selections are complex but nonetheless strategically important decisions that are influenced by numerous factors. Drawing on the resource‐based and relational view of the firm, we investigate how suppliers’ economies of scale influence the buyer's selection decision, and we illustrate how the influence of scale is contingent upon important economic, buyer, and relationship characteristics. We test the model with a large secondary dataset of actual supplier selection decisions from the automotive industry and show that economies of scale have a strongly positive but diminishing effect on the buying firm's supplier selection decision. These effects are reinforced or extenuated by economic, buyer, and relationship characteristics, with characteristics that are more specific to the buyer‐supplier situation (e.g., relationship duration and power balance) having a stronger moderating effect than do characteristics that are more global (e.g., economic cycle). Our research helps suppliers to better understand how to manage selection probabilities with buyers and provides buying firms with a better understanding of how contextual factors affect the benefit of supplier‐provided economies of scale.

Suggested Citation

  • Florian Badorf & Stephan M. Wagner & Kai Hoberg & Felix Papier, 2019. "How Supplier Economies of Scale Drive Supplier Selection Decisions," Journal of Supply Chain Management, Institute for Supply Management, vol. 55(3), pages 45-67, July.
  • Handle: RePEc:bla:jscmgt:v:55:y:2019:i:3:p:45-67
    DOI: 10.1111/jscm.12203
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    Citations

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    Cited by:

    1. Jason Miller & Keith Skowronski & John Saldanha, 2022. "Asset ownership & incentives to undertake non‐contractible actions: The case of trucking," Journal of Supply Chain Management, Institute for Supply Management, vol. 58(1), pages 65-91, January.
    2. Jason Miller & Beth Davis‐Sramek & Brian S. Fugate & Mark Pagell & Barbara B. Flynn, 2021. "Editorial Commentary: Addressing Confusion in the Diffusion of Archival Data Research," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(3), pages 130-146, July.
    3. Gašparík, Jozef & Bažík, Peter & Motyčka, Vít, 2020. "Efficient Method of an Optimal Construction Company Supplier Selection Supported by Software," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2020), Virtual Conference, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Virtual Conference, 10-12 September 2020, pages 636-647, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    4. Stefan Kurpjuweit & Stephan M. Wagner & Thomas Y. Choi, 2021. "Selecting Startups as Suppliers: A Typology of Supplier Selection Archetypes," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(3), pages 25-49, July.
    5. Mehdi Soltanifar & Hamid Sharafi, 2022. "A modified DEA cross efficiency method with negative data and its application in supplier selection," Journal of Combinatorial Optimization, Springer, vol. 43(1), pages 265-296, January.
    6. Myung Kyo Kim & Ram Narasimhan & Tobias Schoenherr, 2020. "Leveraging Logistics Competence in New Product Sourcing: The Role of Strategic Intent and Impact on Performance," Logistics, MDPI, vol. 4(4), pages 1-17, October.
    7. Palmié, Maximilian & Parida, Vinit & Mader, Anna & Wincent, Joakim, 2023. "Clarifying the scaling concept: A review, definition, and measure of scaling performance and an elaborate agenda for future research," Journal of Business Research, Elsevier, vol. 158(C).
    8. Patrucco, Andrea S. & Moretto, Antonella & Knight, Louise, 2021. "Does relationship control hinder relationship commitment? The role of supplier performance measurement systems in construction infrastructure projects," International Journal of Production Economics, Elsevier, vol. 233(C).

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