IDEAS home Printed from https://ideas.repec.org/a/kap/qmktec/v11y2013i3d10.1007_s11129-013-9135-1.html
   My bibliography  Save this article

Buying and selling information under competition

Author

Listed:
  • Yi Xiang

    (Hong Kong University of Science and Technology)

  • Miklos Sarvary

    (Columbia Business School)

Abstract

Markets for information products exhibit varying degrees of competition on both the supply and the demand side. This paper studies the potential complementarity of information products, equilibrium information buying behaviors and information price setting in such markets. Our game-theoretic model consists of two information providers selling imperfect information to two competing clients and allows for different information quality levels as well as varying degrees of client competition. Absent of client competition, information providers compete on the statistical properties of the information they supply (i.e., the accuracy of the information). The competitive price can be high because of potential complementarity among information products when these are not very reliable. However, this may change when the clients are competing against each other. We adopt a reduced-form model of buyer competition that reflects situations where information buyers face discrete alternatives. We find that a buyer gains more through information acquisition when its competitor is less informed, suggesting a first mover advantage in information acquisition. More importantly, we also find that intense client competition can make the information products more substitutable, resulting in a lower equilibrium price for information. Furthermore, this effect leads to harsh competition between information providers and consequently provides incentives for exclusive contracting. In summary, it is found that the “quality” of information has a very different impact on sellers’ profits depending on the degree of client competition.

Suggested Citation

  • Yi Xiang & Miklos Sarvary, 2013. "Buying and selling information under competition," Quantitative Marketing and Economics (QME), Springer, vol. 11(3), pages 321-351, September.
  • Handle: RePEc:kap:qmktec:v:11:y:2013:i:3:d:10.1007_s11129-013-9135-1
    DOI: 10.1007/s11129-013-9135-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11129-013-9135-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11129-013-9135-1?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Esther Gal-or, 1986. "Information Transmission—Cournot and Bertrand Equilibria," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(1), pages 85-92.
    2. Admati, Anat R. & Pfleiderer, Paul, 1987. "Viable allocations of information in financial markets," Journal of Economic Theory, Elsevier, vol. 43(1), pages 76-115, October.
    3. Baye, Michael R. & Morgan, John, 1999. "A folk theorem for one-shot Bertrand games," Economics Letters, Elsevier, vol. 65(1), pages 59-65, October.
    4. Miklos Sarvary & Philip M. Parker, 1997. "Marketing Information: A Competitive Analysis," Marketing Science, INFORMS, vol. 16(1), pages 24-38.
    5. Yannis Bakos & Erik Brynjolfsson, 1999. "Bundling Information Goods: Pricing, Profits, and Efficiency," Management Science, INFORMS, vol. 45(12), pages 1613-1630, December.
    6. J. Miguel Villas-Boas, 1994. "Sleeping with the Enemy: Should Competitors Share the Same Advertising Agency?," Marketing Science, INFORMS, vol. 13(2), pages 190-202.
    7. Vives, Xavier, 1984. "Duopoly information equilibrium: Cournot and bertrand," Journal of Economic Theory, Elsevier, vol. 34(1), pages 71-94, October.
    8. Ganesh Iyer & David Soberman, 2000. "Markets for Product Modification Information," Marketing Science, INFORMS, vol. 19(3), pages 203-225, February.
    9. Markus Christen, 2005. "Research Note---Cost Uncertainty Is Bliss: The Effect of Competition on the Acquisition of Cost Information for Pricing New Products," Management Science, INFORMS, vol. 51(4), pages 668-676, April.
    10. Ashish Arora & Andrea Fosfuri, 2005. "Pricing Diagnostic Information," Management Science, INFORMS, vol. 51(7), pages 1092-1100, July.
    11. Jagmohan S. Raju & Abhik Roy, 2000. "Market Information and Firm Performance," Management Science, INFORMS, vol. 46(8), pages 1075-1084, August.
    12. Robert L. Winkler, 1981. "Combining Probability Distributions from Dependent Information Sources," Management Science, INFORMS, vol. 27(4), pages 479-488, April.
    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. Mehmet Pac{s}a & Steven M. Shugan, 1996. "The Value of Marketing Expertise," Management Science, INFORMS, vol. 42(3), pages 370-388, March.
    15. Yannis Bakos & Erik Brynjolfsson, 2000. "Bundling and Competition on the Internet," Marketing Science, INFORMS, vol. 19(1), pages 63-82, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Batikas, Michail & Claussen, Jörg & Peukert, Christian, 2017. "Follow The Money: Piracy and Online Advertising," 28th European Regional ITS Conference, Passau 2017 169448, International Telecommunications Society (ITS).
    2. Flavio Pino, 2022. "The microeconomics of data – a survey," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 635-665, September.
    3. Kostas Bimpikis & Davide Crapis & Alireza Tahbaz-Salehi, 2019. "Information Sale and Competition," Management Science, INFORMS, vol. 67(6), pages 2646-2664, June.
    4. Dirk Bergemann & Alessandro Bonatti, 2015. "Selling Cookies," American Economic Journal: Microeconomics, American Economic Association, vol. 7(3), pages 259-294, August.
    5. Kimon Drakopoulos & Ali Makhdoumi, 2023. "Providing Data Samples for Free," Management Science, INFORMS, vol. 69(6), pages 3536-3560, June.
    6. Anja Lambrecht & Avi Goldfarb & Alessandro Bonatti & Anindya Ghose & Daniel Goldstein & Randall Lewis & Anita Rao & Navdeep Sahni & Song Yao, 2014. "How do firms make money selling digital goods online?," Marketing Letters, Springer, vol. 25(3), pages 331-341, September.
    7. Zhiyuan Wang & Zhiqiang (Eric) Zheng & Wei Jiang & Shaojie Tang, 2021. "Blockchain‐Enabled Data Sharing in Supply Chains: Model, Operationalization, and Tutorial," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 1965-1985, July.

    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. Markus Christen, 2005. "Research Note---Cost Uncertainty Is Bliss: The Effect of Competition on the Acquisition of Cost Information for Pricing New Products," Management Science, INFORMS, vol. 51(4), pages 668-676, April.
    2. Mukhopadhyay, Samar K. & Yue, Xiaohang & Zhu, Xiaowei, 2011. "A Stackelberg model of pricing of complementary goods under information asymmetry," International Journal of Production Economics, Elsevier, vol. 134(2), pages 424-433, December.
    3. Rakesh Niraj & Chakravarthi Narasimhan, 2017. "Examining Incentives to Share Demand Information with your Channel Partner," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 961-980, July.
    4. Li, Yongquan & Zhu, Kaijie, 2009. "Information acquisition in new product introduction," European Journal of Operational Research, Elsevier, vol. 198(2), pages 618-625, October.
    5. Soberman, David A., 2009. "Marketing agencies, media experts and sales agents: Helping competitive firms improve the effectiveness of marketing," International Journal of Research in Marketing, Elsevier, vol. 26(1), pages 21-33.
    6. Ashish Arora & Andrea Fosfuri, 2005. "Pricing Diagnostic Information," Management Science, INFORMS, vol. 51(7), pages 1092-1100, July.
    7. Jeitschko, Thomas D. & Liu, Ting & Wang, Tao, 2018. "Information Acquisition, signaling and learning in duopoly," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 155-191.
    8. Xu Guan & Ying‐Ju Chen, 2016. "Timing of information acquisition in a competitive environment," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(1), pages 3-22, February.
    9. Yue, Xiaohang & Liu, John, 2006. "Demand forecast sharing in a dual-channel supply chain," European Journal of Operational Research, Elsevier, vol. 174(1), pages 646-667, October.
    10. Zhu, Xiaowei & Mukhopadhyay, Samar K. & Yue, Xiaohang, 2011. "Role of forecast effort on supply chain profitability under various information sharing scenarios," International Journal of Production Economics, Elsevier, vol. 129(2), pages 284-291, February.
    11. Liang Guo & Ying Zhao, 2009. "Voluntary Quality Disclosure and Market Interaction," Marketing Science, INFORMS, vol. 28(3), pages 488-501, 05-06.
    12. Liang Guo, 2009. "The Benefits of Downstream Information Acquisition," Marketing Science, INFORMS, vol. 28(3), pages 457-471, 05-06.
    13. Pedro M. Gardete, 2016. "Competing Under Asymmetric Information: The Case of Dynamic Random Access Memory Manufacturing," Management Science, INFORMS, vol. 62(11), pages 3291-3309, November.
    14. Yan, Ruiliang & Ghose, Sanjoy, 2010. "Forecast information and traditional retailer performance in a dual-channel competitive market," Journal of Business Research, Elsevier, vol. 63(1), pages 77-83, January.
    15. Chuan He & Johan Marklund & Thomas Vossen, 2008. "—Vertical Information Sharing in a Volatile Market," Marketing Science, INFORMS, vol. 27(3), pages 513-530, 05-06.
    16. Yuxin Chen & Chakravarthi Narasimhan & Z. John Zhang, 2001. "Individual Marketing with Imperfect Targetability," Marketing Science, INFORMS, vol. 20(1), pages 23-41, November.
    17. Yue, Xiaohang & Mukhopadhyay, Samar K. & Zhu, Xiaowei, 2006. "A Bertrand model of pricing of complementary goods under information asymmetry," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1182-1192, October.
    18. Zhong, Qinjia & Wang, Jianjun & Zou, Zongbao & Lai, Xiaofan, 2023. "The incentives for information sharing in online retail platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    19. Esther Gal-Or & Tansev Geylani & Anthony J. Dukes, 2008. "Information Sharing in a Channel with Partially Informed Retailers," Marketing Science, INFORMS, vol. 27(4), pages 642-658, 07-08.
    20. Ganesh Iyer & David Soberman, 2000. "Markets for Product Modification Information," Marketing Science, INFORMS, vol. 19(3), pages 203-225, February.

    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:kap:qmktec:v:11:y:2013:i:3:d:10.1007_s11129-013-9135-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.