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Technology Cycles

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The Palgrave Encyclopedia of Strategic Management
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Abstract

New technologies can create whole new industries. New technologies can and often do successfully disrupt and eventually overwhelm prominent firms, which have built their positions based on prior product concepts or process techniques. Technology cycles are often described as following a pre-determined or predictable trajectory. Progress is seen to involve a succession of cycles, each ending in a discontinuity as a new trajectory is established and a new cycle begins (Sahal, Patterns of technological innovation. Reading: Addison Wesley; Dosi. 1982. Research Policy 11: 147–162, 1981). Understanding technology cycles may lead to better defining opportunities, threats and potential competitive outcomes of a firm’s strategic choices (Gavetti and Levinthal, Management Science 50: 1309–1318, 2004). The most popular ideas about mapping and predicting technology cycles and performance though are proving to be seriously oversimplified and misleading when subjected to searching examination. It is more vital than ever for strategists to understand the changing texture of technology, but in a richer and more nuanced way.

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References

  • Abernathy, W.J., B.H. Klein, J. Dopico, and J.M. Utterback. 1982. A proposal for policy oriented research on the automobile industry, Working paper no. 81-14. Cambridge, MA: MIT Center for Policy Alternatives.

    Google Scholar 

  • Ayres, R.U. 1969. Technological forecasting and long-range planning. New York: McGraw-Hill.

    Google Scholar 

  • Bright Jr., A.A. 1949. The electric lamp industry: Technological change and economic development from 1800 to 1947. New York: Macmillan.

    Google Scholar 

  • Christensen, C.M. 1992a. Exploring the limits of the technology S-curve part I: Component technologies. Production and Operations Management 1: 334–357.

    Article  Google Scholar 

  • Christensen, C.M. 1992b. Exploring the limits of the technology S-curve part II: Architectural technologies. Production and Operations Management 1: 358–366.

    Article  Google Scholar 

  • Christensen, C.M. 1997. The innovator’s dilemma: When new technologies cause great firms to fail. Boston: Harvard Business School Press.

    Google Scholar 

  • Cooper, A., and D. Schendel. 1976. Strategic responses to technological threats. Business Horizons 19: 61–69.

    Article  Google Scholar 

  • De Figueiredo, J., and M. Kyle. 2006. Surviving the gales of creative destruction: The determinants of product turnover. Strategic Management Journal 27: 241–264.

    Article  Google Scholar 

  • Dosi, G. 1982. Technological paradigms and technological trajectories. Research Policy 11: 147–162.

    Article  Google Scholar 

  • Foster, R. 1986. Innovation: The attacker’s advantage. New York: Summit Books.

    Book  Google Scholar 

  • Fusfeld, A.R. 1970. The technological progress function: A new technique for forecasting. Technological Forecasting 1: 301–312.

    Article  Google Scholar 

  • Gavetti, G., and D. Levinthal. 2004. The strategy field from the perspective of Management Science: Divergent strands and possible integration. Management Science 50: 1309–1318.

    Article  Google Scholar 

  • Girifalco, L.A. 1991. Dynamics of technological change. New York: Van Nostrand Reinhold.

    Book  Google Scholar 

  • Hilbrink, J.O. 1989. Economic impact and technological change. IEEE Transactions on Engineering Management 36: 37–46.

    Article  Google Scholar 

  • Hirooka, M. 2006. Innovation dynamism and economic growth: A nonlinear perspective. Cheltenham: Edward Elgar.

    Book  Google Scholar 

  • Irvine, J., and B.R. Martin. 1984. Foresight in science: Picking the winners. London: Frances Pinter.

    Google Scholar 

  • Kaplan, S.L., and M. Tripsas. 2008. Thinking about technology: Applying a cognitive lens to technological change. Research Policy 37: 790–805.

    Article  Google Scholar 

  • Koh, H., and C.L. Magee. 2006. A functional approach for studying technological progress: Application to information technology. Technological Forecasting & Social Change 73: 1061–1083.

    Article  Google Scholar 

  • Koh, H., and C.L. Magee. 2008. A functional approach for studying technological progress: Application to energy technology. Technological Forecasting & Social Change 75: 735–758.

    Article  Google Scholar 

  • Levinthal, D.A. 1998. The slow pace of rapid technological change: Gradualism and punctuation in technological change. Industrial and Corporate Change 7: 217–247.

    Article  Google Scholar 

  • Maine, E., M.J. Bliemel, A. Murira, and J. Utterback. 2012. Knowledge diversity in the emerging global bio-nano sector, Working paper no. ESD 2012-20. Cambridge, MA: MIT Engineering Systems Division.

    Google Scholar 

  • McNerney, J., J.D. Farmer, S. Redner, and J.E. Trancik. 2012. Role of design complexity in technology improvement. Proceedings of the National Academy of Sciences.

    Google Scholar 

  • Mohn, N.C. 1972. Application of trend concepts in forecasting: Typesetting technology. Technological Forecasting & Social Change 3: 225–253.

    Article  Google Scholar 

  • Mollick, E. 2006. Establishing Moore’s law. IEEE Annals of the History of Computing 28: 62–75.

    Article  Google Scholar 

  • Porter, A., A.T. Roper, T.W. Mason, F.A. Rossini, and J. Banks. 1991. Technological forecasting. New York: Wiley.

    Google Scholar 

  • Sahal, D. 1981. Patterns of technological innovation. Reading: Addison Wesley.

    Google Scholar 

  • Saviotti, P.P., et al. 1982. An approach to the construction of indexes of technological change and technological sophistication: The case of agricultural tractors. Technological Forecasting & Social Change 21: 133–147.

    Article  Google Scholar 

  • Sood, A., and G. Tellis. 2005. Technological evolution and radical innovation. Journal of Marketing 69: 152–168.

    Article  Google Scholar 

  • Utterback, J.M. 1994. Mastering the dynamics of innovation. Boston: Harvard Business School Press.

    Google Scholar 

  • Utterback, J.M., and L. Kim. 1986. Invasion of a stable business by radical innovation. In The management of productivity and technology in manufacturing, ed. P. Kleindorfer. New York: Plenum Press.

    Google Scholar 

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Correspondence to James M. Utterback .

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Utterback, J.M. (2016). Technology Cycles. In: Augier, M., Teece, D. (eds) The Palgrave Encyclopedia of Strategic Management. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-349-94848-2_400-1

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  • DOI: https://doi.org/10.1057/978-1-349-94848-2_400-1

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