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Strategic Technology Choice and Capacity Investment Under Demand Uncertainty

Author

Listed:
  • Manu Goyal

    (Robert H. Smith School of Business, University of Maryland, 4350 Van Munching Hall, College Park, Maryland 20740)

  • Serguei Netessine

    (The Wharton School, University of Pennsylvania, 3730 Walnut Street, Suite 500, Philadelphia, Pennsylvania 19104-6340)

Abstract

This paper studies the impact of competition on a firm's choice of technology (product-flexible or product-dedicated) and capacity investment decisions. Specifically, we model two firms competing with each other in two markets characterized by price-dependent and uncertain demand. The firms make three decisions in the following sequence: choice of technology (technology game), capacity investment (capacity game), and production quantities (production game). The technology and capacity games occur while the demand curve is still uncertain, and the production game is postponed until after the demand curve is revealed. We develop best-response functions for each firm in the technology game and compare how a monopolist and a duopolist respond to a given flexibility premium. We show that the firms may respond to competition by adopting a technology which is the same as or different from what the competitor adopts. We conclude that contrary to popular belief, flexibility is not always the best response to competition--flexible and dedicated technologies may coexist in equilibrium. We demonstrate that as the difference between the two market sizes increases, a duopolist is willing to pay less for flexible technology, whereas the decision of a monopolist is not affected. Further, we find that a firm that invests in flexibility benefits from a low correlation between demands for two products, but the extent of this benefit differs depending on the competitor's technology choice. Our results indicate that higher demand substitution may or may not promote the adoption of flexibility under competition, whereas it always facilitates the adoption of flexibility without competition. Finally, we show that contrary to intuition, as the competitor's cost of capacity increases, the premium a flexible firm is willing to pay for flexibility decreases.

Suggested Citation

  • Manu Goyal & Serguei Netessine, 2007. "Strategic Technology Choice and Capacity Investment Under Demand Uncertainty," Management Science, INFORMS, vol. 53(2), pages 192-207, February.
  • Handle: RePEc:inm:ormnsc:v:53:y:2007:i:2:p:192-207
    DOI: 10.1287/mnsc.1060.0611
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    References listed on IDEAS

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    1. Deneckere, Raymond & Marvel, Howard P & Peck, James, 1997. "Demand Uncertainty and Price Maintenance: Markdowns as Destructive Competition," American Economic Review, American Economic Association, vol. 87(4), pages 619-641, September.
    2. Cheryl Gaimon, 1989. "Dynamic Game Results of the Acquisition of New Technology," Operations Research, INFORMS, vol. 37(3), pages 410-425, June.
    3. Fine, Charles H. & Pappu, Suguna., 1990. "Flexible manufacturing technology and product-market competition," Working papers 3135-90., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    4. Nirvikar Singh & Xavier Vives, 1984. "Price and Quantity Competition in a Differentiated Duopoly," RAND Journal of Economics, The RAND Corporation, vol. 15(4), pages 546-554, Winter.
    5. Ebru K. Bish & Qiong Wang, 2004. "Optimal Investment Strategies for Flexible Resources, Considering Pricing and Correlated Demands," Operations Research, INFORMS, vol. 52(6), pages 954-964, December.
    6. Roller, Lars-Hendrik & Tombak, Mihkel M, 1990. "Strategic Choice of Flexible Production Technologies and Welfare Implications," Journal of Industrial Economics, Wiley Blackwell, vol. 38(4), pages 417-431, June.
    7. Serguei Netessine & Gregory Dobson & Robert A. Shumsky, 2002. "Flexible Service Capacity: Optimal Investment and the Impact of Demand Correlation," Operations Research, INFORMS, vol. 50(2), pages 375-388, April.
    8. Lars-Hendrik Röller & Mihkel M. Tombak, 1993. "Competition and Investment in Flexible Technologies," Management Science, INFORMS, vol. 39(1), pages 107-114, January.
    9. Roller, Lars-Hendrik & Tombak, Mihkel M., 1991. "Strategic aspects of flexible production technologies: theory and evidence," International Journal of Production Economics, Elsevier, vol. 23(1-3), pages 197-204, October.
    10. Jan A. Van Mieghem, 1998. "Investment Strategies for Flexible Resources," Management Science, INFORMS, vol. 44(8), pages 1071-1078, August.
    11. Krishnan S. Anand & Karan Girotra, 2007. "The Strategic Perils of Delayed Differentiation," Management Science, INFORMS, vol. 53(5), pages 697-712, May.
    12. Donald Gerwin, 1993. "Manufacturing Flexibility: A Strategic Perspective," Management Science, INFORMS, vol. 39(4), pages 395-410, April.
    13. Stephen C. Graves & Brian T. Tomlin, 2003. "Process Flexibility in Supply Chains," Management Science, INFORMS, vol. 49(7), pages 907-919, July.
    14. Charles H. Fine & Robert M. Freund, 1990. "Optimal Investment in Product-Flexible Manufacturing Capacity," Management Science, INFORMS, vol. 36(4), pages 449-466, April.
    15. Jiri Chod & Nils Rudi, 2005. "Resource Flexibility with Responsive Pricing," Operations Research, INFORMS, vol. 53(3), pages 532-548, June.
    16. William C. Jordan & Stephen C. Graves, 1995. "Principles on the Benefits of Manufacturing Process Flexibility," Management Science, INFORMS, vol. 41(4), pages 577-594, April.
    17. Brian Tomlin & Yimin Wang, 2005. "On the Value of Mix Flexibility and Dual Sourcing in Unreliable Newsvendor Networks," Manufacturing & Service Operations Management, INFORMS, vol. 7(1), pages 37-57, June.
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