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Retail Price Competition with Product Fit Uncertainty and Assortment Selection

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  • Haoying Sun
  • Stephen M. Gilbert

Abstract

For many products, consumers need to physically experience them in order to assess their own valuations. We study how the equilibrium pricing among competing retailers depend upon assortments when consumers must search for this sort of fit information and are heterogeneous in their shopping behaviors. Specifically, we consider a market that consists of two retailers and two possible products. A consumer is either loyal to one of the retailers or is a shopper who follows a rational dynamic search process based on the prices and available assortments. We demonstrate how the retailers’ equilibrium pricing strategies depend upon their assortment choices and the resulting search process. Among other things, we show that, when the retailers carry non‐overlapping assortments, as search cost increases, the equilibrium pricing strategy changes from a low price with no discounting, to a high price with deep discounting. Furthermore, we find that when a full line retailer competes with a limited line retailer, a strategy of discounting only the common product can dominate one of discounting both products together. This is not the case when his rival also carries the full product line.

Suggested Citation

  • Haoying Sun & Stephen M. Gilbert, 2019. "Retail Price Competition with Product Fit Uncertainty and Assortment Selection," Production and Operations Management, Production and Operations Management Society, vol. 28(7), pages 1658-1673, July.
  • Handle: RePEc:bla:popmgt:v:28:y:2019:i:7:p:1658-1673
    DOI: 10.1111/poms.13005
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    Cited by:

    1. Zhang, Ting & Feng, Xiaohui & Wang, Ningning, 2021. "Manufacturer encroachment and product assortment under vertical differentiation," European Journal of Operational Research, Elsevier, vol. 293(1), pages 120-132.
    2. Torsten J. Gerpott & Jan Berends, 2022. "Competitive pricing on online markets: a literature review," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(6), pages 596-622, December.
    3. Zibo Liu & Zhijie Lin & Ying Zhang & Yong Tan, 2022. "The Signaling Effect of Sampling Size in Physical Goods Sampling Via Online Channels," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 529-546, February.
    4. Gao, Jinwu & Jiang, Shuman & Zhang, Yi, 2024. "To adopt blockchain or not? A game theoretic analysis of profit and environmental impact in decommissioned EV lithium-ion battery recycling," Applied Energy, Elsevier, vol. 367(C).
    5. Kameng Nip & Changjun Wang & Zizhuo Wang, 2022. "Competitive and Cooperative Assortment Games under Markov Chain Choice Model," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1033-1051, March.
    6. Nie, Jiajia & Xu, Xiaoxuan & Yue, Xiaohang & Guo, Qiang & Zhou, Yu, 2023. "Less is more: A strategic analysis of 3D printing with limited capacity," International Journal of Production Economics, Elsevier, vol. 258(C).
    7. Zhang, Tao & Li, Gang & Tayi, Giri Kumar, 2023. "A strategic analysis of virtual showrooms deployment in online retail platforms," Omega, Elsevier, vol. 117(C).
    8. Xingyue (Luna) Zhang & James A. Dearden & Yuliang Yao, 2022. "Let them stay or let them go? Online retailer pricing strategy for managing stockouts," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 4173-4190, November.
    9. Qian Tang & Mei Lin & Youngsoo Kim, 2021. "Inter‐Retailer Channel Competition: Empirical Analyses of Store Entry Effects on Online Purchases," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2547-2563, August.
    10. Zhang, Zhiming & Ren, Da & Lan, Yanfei & Yang, Shanxue, 2022. "Price competition and blockchain adoption in retailing markets," European Journal of Operational Research, Elsevier, vol. 300(2), pages 647-660.

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