IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v25y2006i5p525-537.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://dx.doi.org/10.1287/mksc.1060.0199
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.1060.0199?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. John R. Hauser & Steven M. Shugan, 2008. "Defensive Marketing Strategies," Marketing Science, INFORMS, vol. 27(1), pages 88-110, 01-02.
    2. Shaffer, G. & Zhang, Z.J., 1994. "Competitive Coupon Targeting," Papers 94-02, Michigan - Center for Research on Economic & Social Theory.
    3. Niladri B. Syam & Ranran Ruan & James D. Hess, 2005. "Customized Products: A Competitive Analysis," Marketing Science, INFORMS, vol. 24(4), pages 569-584, February.
    4. 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.
    5. 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.
    6. 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.
    7. Greg Shaffer & Z. John Zhang, 1995. "Competitive Coupon Targeting," Marketing Science, INFORMS, vol. 14(4), pages 395-416.
    8. 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.
    9. Bester, Helmut & Petrakis, Emmanuel, 1996. "Coupons and oligopolistic price discrimination," International Journal of Industrial Organization, Elsevier, vol. 14(2), pages 227-242.
    10. Yuxin Chen & Chakravarthi Narasimhan & Z. John Zhang, 2001. "Individual Marketing with Imperfect Targetability," Marketing Science, INFORMS, vol. 20(1), pages 23-41, November.
    11. Jie Zhang & Lakshman Krishnamurthi, 2004. "Customizing Promotions in Online Stores," Marketing Science, INFORMS, vol. 23(4), pages 561-578, June.
    12. Drew Fudenberg & Jean Tirole, 2000. "Customer Poaching and Brand Switching," RAND Journal of Economics, The RAND Corporation, vol. 31(4), pages 634-657, Winter.
    13. Yuxin Chen & Ganesh Iyer, 2002. "Research Note Consumer Addressability and Customized Pricing," Marketing Science, INFORMS, vol. 21(2), pages 197-208, 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Niladri B. Syam & Ranran Ruan & James D. Hess, 2005. "Customized Products: A Competitive Analysis," Marketing Science, INFORMS, vol. 24(4), pages 569-584, February.
    2. Neeraj Arora & Xavier Dreze & Anindya Ghose & James Hess & Raghuram Iyengar & Bing Jing & Yogesh Joshi & V. Kumar & Nicholas Lurie & Scott Neslin & S. Sajeesh & Meng Su & Niladri Syam & Jacquelyn Thom, 2008. "Putting one-to-one marketing to work: Personalization, customization, and choice," Marketing Letters, Springer, vol. 19(3), pages 305-321, December.
    3. Juanjuan Zhang, 2011. "The Perils of Behavior-Based Personalization," Marketing Science, INFORMS, vol. 30(1), pages 170-186, 01-02.
    4. Baye, Irina & Sapi, Geza, 2014. "Targeted pricing, consumer myopia and investment in customer-tracking technology," DICE Discussion Papers 131, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    5. Fay, Scott & Mitra, Deb & Wang, Qiong, 2009. "Ask or infer? Strategic implications of alternative learning approaches in customization," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 136-152.
    6. Esteves, Rosa-Branca, 2010. "Pricing with customer recognition," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 669-681, November.
    7. B. P. S. Murthi & Sumit Sarkar, 2003. "The Role of the Management Sciences in Research on Personalization," Management Science, INFORMS, vol. 49(10), pages 1344-1362, October.
    8. Jiwoong Shin & K. Sudhir, 2010. "A Customer Management Dilemma: When Is It Profitable to Reward One's Own Customers?," Marketing Science, INFORMS, vol. 29(4), pages 671-689, 07-08.
    9. Haim Mendelson & Ali K. Parlaktürk, 2008. "Competitive Customization," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 377-390, October.
    10. Ganesh Iyer & David Soberman & J. Miguel Villas-Boas, 2005. "The Targeting of Advertising," Marketing Science, INFORMS, vol. 24(3), pages 461-476, May.
    11. Baye, Irina & Reiz, Tim & Sapi, Geza, 2018. "Customer recognition and mobile geo-targeting," DICE Discussion Papers 285, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    12. Vincent Conitzer & Curtis R. Taylor & Liad Wagman, 2012. "Hide and Seek: Costly Consumer Privacy in a Market with Repeat Purchases," Marketing Science, INFORMS, vol. 31(2), pages 277-292, March.
    13. 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.
    14. Goker Aydin & Serhan Ziya, 2009. "Technical Note---Personalized Dynamic Pricing of Limited Inventories," Operations Research, INFORMS, vol. 57(6), pages 1523-1531, December.
    15. Bita Hajihashemi & Amin Sayedi & Jeffrey D. Shulman, 2022. "The Perils of Personalized Pricing with Network Effects," Marketing Science, INFORMS, vol. 41(3), pages 477-500, May.
    16. Jentzsch, Nicola & Sapi, Geza & Suleymanova, Irina, 2013. "Targeted pricing and customer data sharing among rivals," International Journal of Industrial Organization, Elsevier, vol. 31(2), pages 131-144.
    17. Irina Baye & Geza Sapi, 2020. "Consumer foresight, customer data, and investment in targeting technology," Scottish Journal of Political Economy, Scottish Economic Society, vol. 67(4), pages 363-386, September.
    18. Greg Shaffer & Z. John Zhang, 2002. "Competitive One-to-One Promotions," Management Science, INFORMS, vol. 48(9), pages 1143-1160, September.
    19. Sapi, Geza & Suleymanova, Irina, 2013. "Consumer flexibility, data quality and targeted pricing," DICE Discussion Papers 117, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    20. Li, Wei & Chen, Jing & Liang, Gongqian & Chen, Bintong, 2018. "Money-back guarantee and personalized pricing in a Stackelberg manufacturer's dual-channel supply chain," International Journal of Production Economics, Elsevier, vol. 197(C), pages 84-98.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormksc:v:25:y:2006:i:5:p:525-537. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.