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On Customized Goods, Standard Goods, and Competition

Author

Listed:
  • Niladri B. Syam

    (C. T. Bauer College of Business, University of Houston, 385 Melcher Hall, Houston, Texas 77204)

  • Nanda Kumar

    (School of Management, The University of Texas at Dallas, Dallas, Texas)

Abstract

In this study, we examine firms' incentive to offer customized products in addition to their standard products in a competitive environment. We offer several key insights. First, we delineate market conditions in which firms will (will not) offer customized products in addition to their standard products. Surprisingly, we find that when firms offer customized products they are able to not only expand demand, but can also the prices of their standard products relative to when they do not. Second, we find that when a firm offers customized products it is a dominant strategy for it to also offer its standard product. This result highlights the role of standard products and the importance of retaining them when firms offer customized products. Third, we identify market conditions under which ex ante symmetric firms will adopt symmetric or asymmetric customization strategies. Fourth, we highlight how the degree of customization offered in equilibrium is affected by market parameters. We find that the degree of customization is lower when both firms offer customized products relative to the case when only one firm offers customized products. Finally, we show that customizing products under competition does not lead to a prisoner's dilemma.

Suggested Citation

  • Niladri B. Syam & Nanda Kumar, 2006. "On Customized Goods, Standard Goods, and Competition," Marketing Science, INFORMS, vol. 25(5), pages 525-537, September.
    • Handle: RePEc:inm:ormksc:v:25:y:2006:i:5:p:525-537
    DOI: 10.1287/mksc.1060.0199
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    References listed on IDEAS

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    1. John R. Hauser & Steven M. Shugan, 2008. "Defensive Marketing Strategies," Marketing Science, INFORMS, vol. 27(1), pages 88-110, 01-02.
    2. Nanda Kumar & Ram Rao, 2006. "Research Note—Using Basket Composition Data for Intelligent Supermarket Pricing," Marketing Science, INFORMS, vol. 25(2), pages 188-199, 03-04.
    3. John T. Gourville & Dilip Soman, 2005. "Overchoice and Assortment Type: When and Why Variety Backfires," Marketing Science, INFORMS, vol. 24(3), pages 382-395, July.
    4. Greg Shaffer & Z. John Zhang, 1995. "Competitive Coupon Targeting," Marketing Science, INFORMS, vol. 14(4), pages 395-416.
    5. Yong Liu & Daniel S. Putler & Charles B. Weinberg, 2004. "Is Having More Channels Really Better? A Model of Competition Among Commercial Television Broadcasters," Marketing Science, INFORMS, vol. 23(1), pages 120-133, July.
    6. Bester, Helmut & Petrakis, Emmanuel, 1996. "Coupons and oligopolistic price discrimination," International Journal of Industrial Organization, Elsevier, vol. 14(2), pages 227-242.
    7. Jie Zhang & Lakshman Krishnamurthi, 2004. "Customizing Promotions in Online Stores," Marketing Science, INFORMS, vol. 23(4), pages 561-578, June.
    8. Drew Fudenberg & Jean Tirole, 2000. "Customer Poaching and Brand Switching," RAND Journal of Economics, The RAND Corporation, vol. 31(4), pages 634-657, Winter.
    9. Yuxin Chen & Ganesh Iyer, 2002. "Research Note Consumer Addressability and Customized Pricing," Marketing Science, INFORMS, vol. 21(2), pages 197-208, November.
    10. Shaffer, G. & Zhang, Z.J., 1994. "Competitive Coupon Targeting," Papers 94-02, Michigan - Center for Research on Economic & Social Theory.
    11. Niladri B. Syam & Ranran Ruan & James D. Hess, 2005. "Customized Products: A Competitive Analysis," Marketing Science, INFORMS, vol. 24(4), pages 569-584, February.
    12. K. Ravi Kumar & D. Sudharshan, 1988. "Defensive Marketing Strategies: An Equilibrium Analysis Based on Decoupled Response Function Models," Management Science, INFORMS, vol. 34(7), pages 805-815, July.
    13. Yuxin Chen & Chakravarthi Narasimhan & Z. John Zhang, 2001. "Individual Marketing with Imperfect Targetability," Marketing Science, INFORMS, vol. 20(1), pages 23-41, November.
    14. Rajiv Dewan & Bing Jing & Abraham Seidmann, 2003. "Product Customization and Price Competition on the Internet," Management Science, INFORMS, vol. 49(8), pages 1055-1070, August.
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