Forecasting New Telecommunication Services at a “Pre-Development” Product Stage

  • Andreas Taschner
Part of the Topics in Regulatory Economics and Policy Series book series (TREP, volume 33)


Telecommunications has become one of the most dynamic markets with short innovation cycles and a multitude of different players. “Time to market” and cost effective development of products meeting customers’ needs are not only buzzwords, but have become critical success factors, which determine the fate of any player in the industry. Equipment providers, service providers and operators have to claim their position in a global, highly competitive environment. The cost effective development and introduction of innovative products, which meet customer needs and wishes are a major competitive advantage. This stage is one of the most complex and most difficult situations in business. With the failure rate of innovations typically being as high as 70% or 80% (Cooper / Kleinschmidt, 1991), the decision maker has a good chance of error when deciding which products to develop and later launch in the market. This is true for all industries, but especially so for the telecommunications industry with its shortening product life cycles and resulting pressure to be increasingly innovative.


Product Stage Mobile Telephone Telecommunication Service Telecommunication Industry Diffusion Curve 
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  1. Arabie, Phipps / Hubert, Lawrence (1994): Cluster analysis in marketing research, in: Bagozzi, R.P. (ed.): Advanced methods in marketing research, Oxford: Blackwell & Company, pp. 160–189Google Scholar
  2. Armstrong, Scott (1985): Long Range Forecasting: From Crystal Ball to Computer, New York: John WileyGoogle Scholar
  3. Bass, Frank M. (1969): A New Product Growth Model for Consumer Durables, in: Management Science, vol. 15, pp. 215–227CrossRefGoogle Scholar
  4. Bont, Cees de / Schoormans, Jan (1995): The effects of product expertise on consumer evaluations of new-product concepts, in: Journal of Economic Psychology, vol. 16, pp. 599–615CrossRefGoogle Scholar
  5. Brown, R. V. (1969): Research and the Credibility of Estimates, Cambridge: Harvard University PressGoogle Scholar
  6. Cooper, Robert / Kleinschmidt, Elko (1991): New product processes at leading industrial firms, in: Industrial Marketing Management, pp. 137–147Google Scholar
  7. Dalrymple, D. J. (1987): Sales forecasting practices, in: International Journal of Forecasting, vol. 3, pp. 379–391CrossRefGoogle Scholar
  8. Dawes, R.M. (1988): Rational choice in an uncertain world, New York: Harcourt Brace JovanovichGoogle Scholar
  9. Desruelle, Dominique / Gaudet, Gérard / Richelle, Yves (1996): Complementarity, Coordination and Compatibility: The Role of Fixed Costs in the Economics of Systems, in: International Journal of Industrial Organization, vol. 14, pp.Google Scholar
  10. Fazio, R. / Zanna, M. P. (1981): Direct Experience and Attitude-Behavior Consistency, in: Advances in Experimental Social Psychology, vol. 14, pp. 161–202CrossRefGoogle Scholar
  11. Gatignon, Hubert / Robertson, Thomas (1986): Integration of Consumer Diffusion Theory and Diffusion Models, in: Mahajan, Vijay / Wind, Yoram (eds.): Innovating Diffusion Models of New Product Acceptance, Cambridge: Ballinger Publishing CompanyGoogle Scholar
  12. Gross, Alan M. (1997): Alternative Futures: Forecasting for Business Decision Making, in: ICFC, San Francisco, June 25, 1997Google Scholar
  13. Gutman, Jonathan (1982): A means-end chain model based on consumer categorization processes, in: Journal of Marketing, vol. 46, pp. 42–60CrossRefGoogle Scholar
  14. Hamel, Gary / Phahalad, C.K. (1994): Competing for the future, Boston: Havard Business School PressGoogle Scholar
  15. Hogarth, R. / Makridakis, Spyros (1981): Forecasting and planning: an evaluation, in: Management Science, vol. 27, pp. 115–138CrossRefGoogle Scholar
  16. Holt, K. (1989): Does the engineer forget the user?, in: Design Studies, vol. 10. pp. 163–168CrossRefGoogle Scholar
  17. Kerlinger, F. (1973): Foundations of Behavioral Research, New York: Holt, Rinehart & WinstonGoogle Scholar
  18. Kleinschmidt, Elko / Cooper, Robert (1995): The relative importance of new product success determinants — perception versus reality, in: R & D Management, vol. 25, pp. 281–298CrossRefGoogle Scholar
  19. Lilien, Gary / Kotier, Philip / Moorthy, Sridhar (1992): Marketing Models, Englewood Cliffs: Prentice HallGoogle Scholar
  20. Mahajan, Vijay / Muller, Eitan / Bass, Frank M. (1990): New Product Diffusion Models in Marketing: A Review and Directions for Research, in: Journal of Marketing, vol. 54, pp. 1–26CrossRefGoogle Scholar
  21. Makridakis, Spyros / Wheelwright, Steven / Hyndman, Rob (1998): Forecasting. Methods and Applications, New York: John Wiley & SonsGoogle Scholar
  22. Mantel, S.J. / Meredith, J.R. (1986): The role of customer cooperation in the development, marketing, and implementation of innovation, in: Hübner, H. (ed.): The Art and Science of Innovation Management, Amsterdam: Elsevier Science, pp. 27–36Google Scholar
  23. Mentzer, John / Kahn, Kenneth (1995): Forecasting Technique Familiarity, Satisfaction, Usage, and Application, in: Journal of Forecasting, vol. 14, pp. 465–476CrossRefGoogle Scholar
  24. Mitchell, A. (1984): The Nine American Life-Styles, New YorkGoogle Scholar
  25. Punj, Girish / Stewart, David (1983): Cluster analysis in marketing research: review and suggestions, in: Journal of Marketing Research, vol. 20, pp. 134–148CrossRefGoogle Scholar
  26. Reynolds, Thomas (1985): Implications for Value Research: A Micro vs. Macro Perspective, in: Psychology and Marketing, vol. 2, pp. 297–305CrossRefGoogle Scholar
  27. Sampson, Peter (1992): People are people the world over: the case for psychological market segmentation, in: Marketing and Research Today, pp. 236–244Google Scholar
  28. Sanders, N. R. (1992): Corporate Forecasting Practices in the Manufacturing Industry, in: Production and Inventory Management, vol. 33Google Scholar

Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • Andreas Taschner
    • 1
  1. 1.Alcatel TelecomUSA

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