Endogenous differentiation of information goods under uncertainty

ABSTRACT

Information goods can be reconfigured at low cost. Therefore, firms can choose how to differentiate their products at a frequency comparable to price changes. However, doing so effectively is complicated by uncertainty about customer preferences, compounded by the fact that the search for a good product niche is carried out in competition with other searching firms.We study two firms that differentiate their information goods.The firms simultaneously compete in product configuration and price. We assume a non-uniform distribution of consumers: the largest number prefer a product located at a "sweet spot," but the rate at which the customer density falls off away from this product configuration is unknown. Our characterization reflects the standard tradeoff between exploitation (current profit) and exploration (learning to enhance future profit). In our model firms balance current profits from competing for a mass and a niche market, while learning about the profitability of these alternative strategies.We show that the amount of learning that firms will undertake depends on the convexity or concavity of the profit function in the rate of demand fall-off. In our model firms have an incentive to learn, and can use both price and product configuration in order to explore. We show that the ability to explore in product characteristic space leads to a previously unidentified consequence of learning: attenuation of competition. The incentive to learn induces firms to differentiate their products more than they would if the value of learning were ignored. This leads to decreased direct competition with rivals, and thus higher prices and profits than if the firms were acting myopically. Thus, we might expect that when firms are not well informed about consumer preferences for information goods --- as might be especially true in new markets for innovative products --- product diversity will be higher and direct competition will be smaller than might otherwise be expected.

REFERENCES

• 1: Philippe Aghion,Patrick Bolton,Christopher Harris, and Bruno Jullien.Optimal learning by experimentation.Review of Economic Studies , 58(4):621 -54,July 1991.
• 2: Simon P.Anderson,Andre de Palma,and Jacques-Francois Thisse.Discrete Choice The ry of Pr duct Di .erentiation .MIT Press,Cambridge, Massachusetts,1992.
• 3: Joseph P.Bailey.Electronic commerce:Prices and consumer issues for three products:Books,compact discs,and software.Te hnical Report OCDE/GD(98)4,Organisation for Economic Co-Operation and Development,1998.Available from http://www.oecd.org/dsti/sti/it/ec/prod/ie98-4.pdf.
• 4: Christopher H. Brooks , Edmund H. Durfee , Rajarshi Das, Price wars and niche discovery in an information economy, Proceedings of the 2nd ACM conference on Electronic commerce, p.95-106, October 17-20, 2000, Minneapolis, Minnesota, United States [doi>10.1145/352871.352882]
• 5: Christopher H. Brooks , Scott Fay , Rajarshi Das , Jeffrey K. MacKie-Mason , Jeffrey O. Kephart , Edmund H. Durfee, Automated strategy searches in an electronic goods market: learning and complex price schedules, Proceedings of the 1st ACM conference on Electronic commerce, p.31-40, November 03-05, 1999, Denver, Colorado, United States [doi>10.1145/336992.337000]
• 6: Karen Clay , Ramayya Krishnan , Eric Wolff, Pricing strategies on the Web: evidence from the online book industry, Proceedings of the 2nd ACM conference on Electronic commerce, p.44-55, October 17-20, 2000, Minneapolis, Minnesota, United States [doi>10.1145/352871.352877]
• 7: Neveen I. Farag , Marshall W. van Alstyne, Information technology— a source of friction?: an analytical model of how firms combat price competition online, Proceedings of the 2nd ACM conference on Electronic commerce, p.135-144, October 17-20, 2000, Minneapolis, Minnesota, United States [doi>10.1145/352871.352886]
• 8: J.J.Gabszewicz and J.-F.Thisse.Spatial competition and the location of .rms.In J.J.Gabszewicz,J.-F. Thisse,M.Fujita,and U.S hweizer,editors, Fundamentals of Pure and Applied Ec nomics. V lume 5:Locati n Theory .Harwood Academic Publishers,Chur,Switzerland,1986.
• 9: Sanford J.Grossman,Richard E.Kihlstrom,and Leonard J.Mirman.A bayesian approach to the production of information and learning by doing. Review of Economic Studies ,44(3):533 -47,Oct.1977.
• 10: Joseph Harrington.Experimentation and learning in a di .erentiated-products duopoly.Journal f Ec nomic The ry ,66:275 -288,1995.
• 11: John H. Holland, Adaptation in natural and artificial systems, MIT Press, Cambridge, MA, 1992
• 12: Jeffrey O. Kephart , Christopher H. Brooks , Rajarshi Das, Pricing information bundles in a dynamic environment, Proceedings of the 3rd ACM conference on Electronic Commerce, p.180-190, October 14-17, 2001, Tampa, Florida, USA [doi>10.1145/501158.501178]
• 13: Je .rey O.Kephart,Rajarshi Das,and Je .rey K. MacKie-Mason.Two-sided learning in an agent economy for information bundles.In Frank Dignum and Carles Sierra,editors,Agent-Mediated Electronic Commerce ,Lecture Notes in Computer Science. Springer,Heidelberg,Germany,2001.
• 14: Jeffrey O. Kephart , Scott A. Fay, Competitive bundling of categorized information goods, Proceedings of the 2nd ACM conference on Electronic commerce, p.117-127, October 17-20, 2000, Minneapolis, Minnesota, United States [doi>10.1145/352871.352884]
• 15: Je .rey K.MacKie-Mason,Scott Shenker,and Hal Varian.Network architecture and ontent provision: An economic analysis.In Gerald Bro k and Greg Rosston,editors,The Internet and Telec mmunications Policy .Lawrence Erlbaum Associates,Mahway,NJ,1996.Available from http://wwwpersonal.umich.edu/jmm/papers/tprc.pdf.
• 16: X.Martinez-Giralt and D.J.Neven.Can price competition dominate marke segmentation?Journal of Industrial Economics ,36:431 -442,1988.
• 17: Andrew McLennan.Price dispersion and incomplete learning in the long run.Journal f Ec nomic Dynamics and Control ,7(3):331 -47,Sept.1984.
• 18: Arie Segev , Carrie Beam, Brokering strategies in electronic commerce markets, Proceedings of the 1st ACM conference on Electronic commerce, p.167-176, November 03-05, 1999, Denver, Colorado, United States [doi>10.1145/336992.337038]

INDEX TERMS

Primary Classification:
  K. Computing Milieux
  K.1 THE COMPUTER INDUSTRY
      Subjects: Markets

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.5 On-line Information Services
          Subjects: Web-based services

  J. Computer Applications
  J.7 COMPUTERS IN OTHER SYSTEMS
      Subjects: Consumer products

  K. Computing Milieux
  K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS
      K.6.0 General
          Subjects: Economics

General Terms:
Economics, Management, Theory