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The Launch Timing of New and Dominant Multigeneration Technologies

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  • Hernández-Mireles, C.
  • Franses, Ph.H.B.F.

Abstract

In this paper we introduce a model that is suitable to study the diffusion of new and dominant multi-generation technologies. Examples are computer operat- ing systems, mobile phone standards, video game consoles. Our model incorporates three new features that are not included in related models. First, we add the ability of a firm to transfer users of its old technologies to the new generations, what we call firms’ alpha. Second, we add competitive relations between market technolo- gies. Third, the launch strategies diagnosed by our model cover, as special cases, the now or never strategies and hence it is suitable to study intermediate launch strategies. We find that the appropriate timing of a new technology depends heavily on both the firms’ alphas and on the competitive positioning of their products. In addition, we argue that the strategic interaction of firms may lead to very different sales outcomes depending on the competitive positioning of their products. In the VGC case we find that the Nintendo Wii was launched at an appropriate moment while the Sony PS3 perhaps should have never been launched.

Suggested Citation

  • Hernández-Mireles, C. & Franses, Ph.H.B.F., 2010. "The Launch Timing of New and Dominant Multigeneration Technologies," ERIM Report Series Research in Management ERS-2010-022-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:19670
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    1. John A. Norton & Frank M. Bass, 1987. "A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products," Management Science, INFORMS, vol. 33(9), pages 1069-1086, September.
    2. Matthew T. Clements & Hiroshi Ohashi, 2005. "Indirect Network Effects And The Product Cycle: Video Games In The U.S., 1994–2002," Journal of Industrial Economics, Wiley Blackwell, vol. 53(4), pages 515-542, December.
    3. Demetrios Vakratsas & Frank M. Bass, 2002. "A segment-level hazard approach to studying household purchase timing decisions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(1), pages 49-59.
    4. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    5. Binken, J.L.G. & Stremersch, S., 2008. "The Effect of Superstar Software on Hardware Sales in System Markets," ERIM Report Series Research in Management ERS-2008-025-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Venkatesh Shankar & Barry L. Bayus, 2003. "Network effects and competition: an empirical analysis of the home video game industry," Strategic Management Journal, Wiley Blackwell, vol. 24(4), pages 375-384, April.
    7. Barry L. Bayus, 1992. "The Dynamic Pricing of Next Generation Consumer Durables," Marketing Science, INFORMS, vol. 11(3), pages 251-265.
    8. Leslie Olin Morgan & Ruskin M. Morgan & William L. Moore, 2001. "Quality and Time-to-Market Trade-offs when There Are Multiple Product Generations," Manufacturing & Service Operations Management, INFORMS, vol. 3(2), pages 89-104, June.
    9. Kim, Namwoon & Srivastava, Rajendra K. & Han, Jin K., 2001. "Consumer decision-making in a multi-generational choice set context," Journal of Business Research, Elsevier, vol. 53(3), pages 123-136, September.
    10. Lynn O. Wilson & John A. Norton, 1989. "Optimal Entry Timing for a Product Line Extension," Marketing Science, INFORMS, vol. 8(1), pages 1-17.
    11. Islam, Towhidul & Meade, Nigel, 2000. "Modelling diffusion and replacement," European Journal of Operational Research, Elsevier, vol. 125(3), pages 551-570, September.
    12. Devavrat Purohit, 1994. "What Should You Do When Your Competitors Send in the Clones?," Marketing Science, INFORMS, vol. 13(4), pages 392-411.
    13. Yogesh V. Joshi & David J. Reibstein & Z. John Zhang, 2009. "Optimal Entry Timing in Markets with Social Influence," Management Science, INFORMS, vol. 55(6), pages 926-939, June.
    14. Kamien, Morton I & Schwartz, Nancy L, 1972. "Timing of Innovations Under Rivalry," Econometrica, Econometric Society, vol. 40(1), pages 43-60, January.
    15. Gilvan C. Souza & Barry L. Bayus & Harvey M. Wagner, 2004. "New-Product Strategy and Industry Clockspeed," Management Science, INFORMS, vol. 50(4), pages 537-549, April.
    16. Namwoon Kim & Dae Ryun Chang & Allan D. Shocker, 2000. "Modeling Intercategory and Generational Dynamics for A Growing Information Technology Industry," Management Science, INFORMS, vol. 46(4), pages 496-512, April.
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    More about this item

    Keywords

    launch timing; multi-generation diffusion models; video-game industry;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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