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Testing the Negative Effects of Time Pressure in Retail Supply Chain Relationships

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  • Thomas, Rodney W.
  • Esper, Terry L.
  • Stank, Theodore P.

Abstract

In today's rapidly evolving business environment, retailers must develop highly responsive supply chains in order to satisfy constantly changing market demands. One approach to achieving this objective is to leverage the capabilities of other supply chain members to achieve cycle time compression of key business activities. However, when viewed through the theoretical lenses of Social Exchange Theory and Reciprocity, a potential conflict exists between facilitating supply chain responsiveness and maintaining close retailer–supplier relationships. The purpose of this research is to quantitatively test how the imposition of time pressure affects key elements of retail supply chain relationships. Scenario based experimental methodology was utilized to test the effects of time pressure on two distinct types of retailer–supplier relationships. Results of this research offer evidence to support the notion that time pressure can reduce collaborative behaviors, relationship loyalty, and relationship value in critical retailer–supplier relationships.

Suggested Citation

  • Thomas, Rodney W. & Esper, Terry L. & Stank, Theodore P., 2010. "Testing the Negative Effects of Time Pressure in Retail Supply Chain Relationships," Journal of Retailing, Elsevier, vol. 86(4), pages 386-400.
  • Handle: RePEc:eee:jouret:v:86:y:2010:i:4:p:386-400
    DOI: 10.1016/j.jretai.2010.07.011
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    References listed on IDEAS

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    2. Ryari, Hanaa & Alavi, Sascha & Wieseke, Jan, 2021. "Drown or Blossom? The Impact of Perceived Chronic Time Pressure on Retail Salespeople's Performance and Customer–Salesperson Relationships," Journal of Retailing, Elsevier, vol. 97(2), pages 217-237.
    3. Stephanie P. Thomas & Monique L. Ueltschy Murfield & Jacqueline K. Eastman, 2021. "I Wasn’t Expecting That! The Relational Impact of Negotiation Strategy Expectation Violations," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(4), pages 3-25, October.
    4. Song, Mengmeng & Zhang, Huixian & Xing, Xinyu & Duan, Yucong, 2023. "Appreciation vs. apology: Research on the influence mechanism of chatbot service recovery based on politeness theory," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    5. Chou, Chien-Hsiang & Wang, Yi-Shun & Tang, Tzung-I, 2015. "Exploring the determinants of knowledge adoption in virtual communities: A social influence perspective," International Journal of Information Management, Elsevier, vol. 35(3), pages 364-376.
    6. Bogomolova, Svetlana & Szabo, Marietta & Kennedy, Rachel, 2017. "Retailers' and manufacturers' price-promotion decisions: Intuitive or evidence-based?," Journal of Business Research, Elsevier, vol. 76(C), pages 189-200.
    7. Adivar, Burcu & Hüseyinoğlu, Işık Özge Yumurtacı & Christopher, Martin, 2019. "A quantitative performance management framework for assessing omnichannel retail supply chains," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 257-269.
    8. Hofer, Christian & Jin, Henry & Swanson, R. David & Waller, Matthew A. & Williams, Brent D., 2012. "The Impact of Key Retail Accounts on Supplier Performance: A Collaborative Perspective of Resource Dependency Theory," Journal of Retailing, Elsevier, vol. 88(3), pages 412-420.
    9. Muhammed Kürşad Özlen, 2021. "Enablers and Outcomes of Knowledge Management Implementation in Supply Chains: Manufacturing Companies Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(3), pages 1517-1532, September.

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