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Adoption of personalized pricing in a supply chain

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  • Chen Chen
  • Yongrui Duan
  • Guiping Li

Abstract

By considering a two‐segment consumer market, we investigate the impact of selling formats on the adoption of personalized pricing (PP). We find that (i) when the valuation of the two segments is (not) close, PP is more likely to be implemented under the wholesale (agency) model; (ii) when the high‐type segment is relatively large (small), the likelihood of PP is higher (lower) under the agency model; (iii) the likelihood is non‐monotonic in the size of the high‐type segment and low‐type consumers' valuation; (iv) the player that bears the cost of PP is better off when the adoption becomes more costly.

Suggested Citation

  • Chen Chen & Yongrui Duan & Guiping Li, 2022. "Adoption of personalized pricing in a supply chain," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2715-2728, October.
  • Handle: RePEc:wly:mgtdec:v:43:y:2022:i:7:p:2715-2728
    DOI: 10.1002/mde.3557
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    References listed on IDEAS

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    1. Yinliang (Ricky) Tan & Janice E. Carrillo, 2017. "Strategic Analysis of the Agency Model for Digital Goods," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 724-741, April.
    2. Lin Tian & Asoo J. Vakharia & Yinliang (Ricky) Tan & Yifan Xu, 2018. "Marketplace, Reseller, or Hybrid: Strategic Analysis of an Emerging E‐Commerce Model," Production and Operations Management, Production and Operations Management Society, vol. 27(8), pages 1595-1610, August.
    3. Johnson, Justin P., 2020. "The agency and wholesale models in electronic content markets," International Journal of Industrial Organization, Elsevier, vol. 69(C).
    4. Greg Shaffer & Z. John Zhang, 1995. "Competitive Coupon Targeting," Marketing Science, INFORMS, vol. 14(4), pages 395-416.
    5. Rosa-Branca Esteves & Joana Resende, 2016. "Competitive Targeted Advertising with Price Discrimination," Marketing Science, INFORMS, vol. 35(4), pages 576-587, July.
    6. Feng Zhu & Qihong Liu, 2018. "Competing with complementors: An empirical look at Amazon.com," Strategic Management Journal, Wiley Blackwell, vol. 39(10), pages 2618-2642, October.
    7. Chongwoo Choe & Stephen King & Noriaki Matsushima, 2018. "Pricing with Cookies: Behavior-Based Price Discrimination and Spatial Competition," Management Science, INFORMS, vol. 64(12), pages 5669-5687, December.
    8. Chongping Chen & Xiaopo Zhuo & Yanshan Li, 2022. "Online channel introduction under contract negotiation: Reselling versus agency selling," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(1), pages 146-158, January.
    9. Zhijun Chen & Chongwoo Choe & Noriaki Matsushima, 2020. "Competitive Personalized Pricing," Management Science, INFORMS, vol. 66(9), pages 4003-4023, September.
    10. Toshihiro Matsumura & Noriaki Matsushima, 2015. "Should Firms Employ Personalized Pricing?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 24(4), pages 887-903, October.
    11. Alessandro Acquisti & Hal R. Varian, 2005. "Conditioning Prices on Purchase History," Marketing Science, INFORMS, vol. 24(3), pages 367-381, May.
    12. Vibhanshu Abhishek & Kinshuk Jerath & Z. John Zhang, 2016. "Agency Selling or Reselling? Channel Structures in Electronic Retailing," Management Science, INFORMS, vol. 62(8), pages 2259-2280, August.
    13. Gerstner, Eitan & Hess, James D & Holthausen, Duncan M, 1994. "Price Discrimination through a Distribution Channel: Theory and Evidence," American Economic Review, American Economic Association, vol. 84(5), pages 1437-1445, December.
    14. Gerstner, Eitan & Hess, James D, 1991. "A Theory of Channel Price Promotions," American Economic Review, American Economic Association, vol. 81(4), pages 872-886, September.
    15. Eitan Gerstner & James D. Hess, 1995. "Pull Promotions and Channel Coordination," Marketing Science, INFORMS, vol. 14(1), pages 43-60.
    16. Juanjuan Zhang, 2011. "The Perils of Behavior-Based Personalization," Marketing Science, INFORMS, vol. 30(1), pages 170-186, 01-02.
    17. Vidyanand Choudhary & Anindya Ghose & Tridas Mukhopadhyay & Uday Rajan, 2005. "Personalized Pricing and Quality Differentiation," Management Science, INFORMS, vol. 51(7), pages 1120-1130, July.
    18. Yunchuan Liu & Z. John Zhang, 2006. "Research Note—The Benefits of Personalized Pricing in a Channel," Marketing Science, INFORMS, vol. 25(1), pages 97-105, 01-02.
    19. Andrei Hagiu & Julian Wright, 2015. "Marketplace or Reseller?," Management Science, INFORMS, vol. 61(1), pages 184-203, January.
    20. Esteves, Rosa-Branca & Resende, Joana, 2019. "Personalized pricing and advertising: Who are the winners?," International Journal of Industrial Organization, Elsevier, vol. 63(C), pages 239-282.
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