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Technical Note—A Note on Optimal Strategic Pricing of Technological Innovations

Author

Listed:
  • Frank M. Bass

    (School of Management, University of Texas at Dallas, Richardson, Texas 75080)

  • Alain V. Bultez

    (Faculté Universitaire Catholique de Mons (FUCAM, Belgium) and European Institute for Advanced Studies in Management, Brussels, Belgium)

Abstract

The experience curve phenomenon of falling marginal costs associated with accumulated output or production experience has given rise to dynamic pricing models. Optimal pricing policies will depend upon the nature of the dynamic demand and cost functions. In this note we shall show that the demand function employed by Bass (Bass, F. M. 1980. The relationship between diffusion rates, experience curves, and demand elasticities for consumer durable technological innovations. (July) S51–S67.) when taken in conjunction with the experience curve cost function leads to a multiperiod pricing strategy which is always less than the myopically optimal price. Further, we present a dynamic programming algorithm for the multiperiod strategy in which we have explored the effects on discounted profits of myopic pricing versus multiperiod pricing. The results of this comparison may, to some, be somewhat surprising and may have managerial significance.

Suggested Citation

  • Frank M. Bass & Alain V. Bultez, 1982. "Technical Note—A Note on Optimal Strategic Pricing of Technological Innovations," Marketing Science, INFORMS, vol. 1(4), pages 371-378.
  • Handle: RePEc:inm:ormksc:v:1:y:1982:i:4:p:371-378
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    File URL: http://dx.doi.org/10.1287/mksc.1.4.371
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    Citations

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    Cited by:

    1. Martín-Herrán, Guiomar & Taboubi, Sihem & Zaccour, Georges, 2012. "Dual role of price and myopia in a marketing channel," European Journal of Operational Research, Elsevier, vol. 219(2), pages 284-295.
    2. Collantes, Gustavo, 2005. "Foreseeing The Market For Hydrogen Fuel-Cell Vehicles: Stakeholders’ Perspectives And Models Of New Technology Diffusion," Institute of Transportation Studies, Working Paper Series qt1dt4555z, Institute of Transportation Studies, UC Davis.
    3. Fuxiao Lu & Guowei Liu & Jianxiong Zhang & Wansheng Tang, 2016. "Benefits of partial myopia in a durable product supply chain considering pricing and advertising," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(10), pages 1309-1324, October.
    4. Jorgensen, Steffen & Zaccour, Georges, 1999. "Price subsidies and guaranteed buys of a new technology," European Journal of Operational Research, Elsevier, vol. 114(2), pages 338-345, April.
    5. Parker, Philip M. & Sarvary, Miklos, 1997. "Formulating dynamic strategies using decision calculus," European Journal of Operational Research, Elsevier, vol. 98(3), pages 542-554, May.
    6. Trichy V. Krishnan & Frank M. Bass & Dipak C. Jain, 1999. "Optimal Pricing Strategy for New Products," Management Science, INFORMS, vol. 45(12), pages 1650-1663, December.
    7. Samuel Sale, R. & Mesak, Hani I. & Inman, R. Anthony, 2017. "A dynamic marketing-operations interface model of new product updates," European Journal of Operational Research, Elsevier, vol. 257(1), pages 233-242.
    8. M. Berk Ataman & Carl F. Mela & Harald J. van Heerde, 2008. "Building Brands," Marketing Science, INFORMS, vol. 27(6), pages 1036-1054, 11-12.
    9. Shepherd, Simon & Bonsall, Peter & Harrison, Gillian, 2012. "Factors affecting future demand for electric vehicles: A model based study," Transport Policy, Elsevier, vol. 20(C), pages 62-74.
    10. Hernández-Mireles, C. & Fok, D. & Franses, Ph.H.B.F., 2008. "The Triggers, Timing and Speed of New Product Price Landings," ERIM Report Series Research in Management ERS-2008-044-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.
    11. Mohan V. Tatikonda & Mitzi M. Montoya-Weiss, 2001. "Integrating Operations and Marketing Perspectives of Product Innovation: The Influence of Organizational Process Factors and Capabilities on Development Performance," Management Science, INFORMS, vol. 47(1), pages 151-172, January.
    12. Benchekroun, Hassan & Martín-Herrán, Guiomar & Taboubi, Sihem, 2009. "Could myopic pricing be a strategic choice in marketing channels? A game theoretic analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 33(9), pages 1699-1718, September.
    13. Collantes, Gustavo O, 2005. "Foreseeing the Market for Hydrogen Fuel-Cell Vehicles: Stakeholders' Perspectives and Models of New Technology Diffusion," Institute of Transportation Studies, Working Paper Series qt8918f70m, Institute of Transportation Studies, UC Davis.
    14. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    15. Wei-yu Kevin Chiang, 2012. "Supply Chain Dynamics and Channel Efficiency in Durable Product Pricing and Distribution," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 327-343, April.

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