Predicting the Path of Technological Innovation: SAW vs. Moore, Bass, Gompertz, and Kryder

Published Online:https://doi.org/10.1287/mksc.1120.0739

References

  • Abernathy WJ, Utterback JM. Patterns of industrial innovation. Tech. Rev. (1978) 80(7):40–47Google Scholar
  • Adner R. When are technologies disruptive: A demand-based view of the emergence of competition. Strategic Management J. (2002) 23(8):667–688CrossrefGoogle Scholar
  • Armstrong JS. Forecasting by extrapolation: Conclusions from 25 years of research. Interfaces (1984) 14(6):52–66LinkGoogle Scholar
  • Arrow KJ, Nelson RR. Economic welfare and the allocation of resources for invention. The Rate and Direction of Economic Activity (1962) (Princeton University Press, Princeton, NJ) 609–625CrossrefGoogle Scholar
  • Balachandra R. Technological forecasting: Who does it and how useful is it? Tech. Forecasting Soc. Change (1980) 16(1):75–85CrossrefGoogle Scholar
  • Basalla G. The Evolution of Technology (1988) (Cambridge University Press, Cambridge, UK) Google Scholar
  • Bass FM. A new product growth for model consumer durables. Management Sci. (1969) 15(5):215–227LinkGoogle Scholar
  • Bass FM, Krishnan TV, Jain DC. Why the Bass model fits without decision variables. Marketing Sci. (1994) 13(3):203–223LinkGoogle Scholar
  • Brown R. Managing “S” curves of innovation. J. Consumer Marketing (1992) 9(1):61–73CrossrefGoogle Scholar
  • Chandy RK, Tellis GJ. The incumbent’s curse? Incumbency, size, and radical product innovation. J. Marketing (2000) 64(3):1–17CrossrefGoogle Scholar
  • Cox D. Renewal Theory (1970) (Methuen & Co., London) Google Scholar
  • D’Aveni RA. Hypercompetition: Managing the Dynamics of Strategic Maneuvering (1994) (Free Press, New York) Google Scholar
  • Dosi G. Technological paradigms and technological trajectories. Res. Policy (1982) 11(3):147–162CrossrefGoogle Scholar
  • Edwards C. The many lives of Moore’s law. Engrg. Tech. (2008) 3(1):36–39CrossrefGoogle Scholar
  • Eldredge N, Gould SJ, Schopf TJM. Punctuated equilibria: An alternative to phyletic gradualism. Models in Paleobiology (1972) (Freeman, Cooper and Co.)82–115Google Scholar
  • Fellner W. Two propositions in the theory of induced innovations. Econom. J. (1961) 71(282):305–308Google Scholar
  • Fleming L. Recombinant uncertainty in technological search. Management Sci. (2001) 47(1):117–132LinkGoogle Scholar
  • Foster RD. Innovation: The Attacker’s Advantage (1986) (Summit Books, New York) CrossrefGoogle Scholar
  • Gersick CJG. Revolutionary change theories: A multilevel exploration of the punctuated equilibrium paradigm. Acad. Management Rev. (1991) 16(1):10–36CrossrefGoogle Scholar
  • Golder PN, Tellis GJ. Pioneering advantage: Marketing logic or marketing legend. J. Marketing Res. (1993) 30(2):158–170CrossrefGoogle Scholar
  • Golder PN, Tellis GJ. Growing, growing, gone: Cascades, diffusion, and turning points in the product life cycle. Marketing Sci. (2004) 23(2):207–218LinkGoogle Scholar
  • Gompertz B. On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Philos. Trans. Royal Soc. London (1825) 115:513–585CrossrefGoogle Scholar
  • Grochowski E. Emerging trends in data storage on magnetic hard disk drives. Datatech (1998) September):11–17Google Scholar
  • Gupta S. Impact of sales promotions on when, what, and how much to buy. J. Marketing Res. (1988) 25(4):342–355CrossrefGoogle Scholar
  • Hauser J, Tellis GJ, Griffin A. Research on innovation: A review and agenda for Marketing Science. Marketing Sci. (2007) 25(6):687–717LinkGoogle Scholar
  • Henderson RM, Clark KB. Architectural innovation: The reconfiguration of existing product technologies and the failure of established firms. Admin. Sci. Quart. (1990) 35(1):9–30CrossrefGoogle Scholar
  • Lambkin M. Order of entry and performance in new markets. Strategic Management J. (1988) 9(S1):127–140CrossrefGoogle Scholar
  • Levinthal DA. The slow pace of rapid technological change: Gradualism and punctuation in technological change. Indust. Corporate Change (1998) 7(2):217–247CrossrefGoogle Scholar
  • Makridakis S, Anderson A, Carbone R, Fildes R, Hibon M, Lewandowski R, Newton J, Parzen P, Winkler R. The accuracy of extrapolation (time series) methods: Results of a forecasting competition. J. Forecasting (1982) 1(2):111–153CrossrefGoogle Scholar
  • Martino JP. A review of selected advances in technological forecasting. Tech. Forecasting Soc. Change (2003) 70(8):719–733CrossrefGoogle Scholar
  • Meade N, Islam T. Forecasting with growth curves: An empirical comparison. Internat. J. Forecasting (1995) 11(2):199–215CrossrefGoogle Scholar
  • Meade N, Islam T. Technological forecasting—Model selection, model stability, and combining models. Management Sci. (1998) 44(8):1115–1130LinkGoogle Scholar
  • Meade N, Islam T. Modeling and forecasting the diffusion of innovation—A 25 year review. Internat. J. Forecasting (2006) 22(3):519–545CrossrefGoogle Scholar
  • Mollick E. Establishing Moore’s law. IEEE Ann. History Comput. (2006) 28(3):62–75CrossrefGoogle Scholar
  • Moore GE. Cramming more components onto integrated circuits. Electronics (1965) 38(8):114–117 http://www.intel.com/research/silicon/moorespaper.pdfGoogle Scholar
  • Moore GE. Progress in digital integrated electronics. IEEE, IEDM Tech Digest (1975) 21:11–3Google Scholar
  • Moore GE, Warlaumont JM. Lithography and the future of Moore’s law. Electron-Beam, X-Ray, and Ion-Beam Submicrometer Lithographies for Manufacturing V: Proc. SPIE (1995) 2437(SPIE, Bellingham, WA) 1–4CrossrefGoogle Scholar
  • Moore GE. An update on Moore’s law. (1997) . Intel Developer Forum Keynote, September 30, Intel, Santa Clara, CAGoogle Scholar
  • Moore GE. No exponential is forever: But “forever” can be delayed! Solid-State Circuits Conf. 2003, Digest Tech. Papers, IEEE Internat. (2003) 1(IEEE, New York) 20–23CrossrefGoogle Scholar
  • Nelson RR, Winter SG. In search of useful theory of innovation. Res. Policy (1977) 6(1):36–76CrossrefGoogle Scholar
  • Nelson RR, Winter SG. An Evolutionary Theory of Economic Change (1982) (Belknap Press/Harvard University Press, Cambridge, MA) Google Scholar
  • Pinheiro JC, Bates DM. Mixed-Effects Models in S and S PLUS (2000) (Springer-Verlag, New York) Statistics and Computing SeriesCrossrefGoogle Scholar
  • Rogers EM. Diffusion of Innovations (1962) (Free Press, New York) Google Scholar
  • Rosenberg N. The direction of technological change: Inducement mechanisms and focusing devices. Econom. Development Cultural Change (1969) 18(1):1–24CrossrefGoogle Scholar
  • Sahal D. Alternative conceptions of technology. Res. Policy (1981) 10(1):2–24CrossrefGoogle Scholar
  • Schaller RR. Moore’s law: Past, present and future. Spectrum IEEE (1997) 34(6):52–59CrossrefGoogle Scholar
  • Scherer FM. Market structure and the employment of scientists and engineers. Amer. Econom. Rev. (1967) 57(June):524–531Google Scholar
  • Scherer FM, Ross D. Industrial Market Structure and Economic Performance (1990) (Houghton Mifflin, New York) Google Scholar
  • Shacklett M. Storage density and Kryder’s law. Byte Switch News Anal. (2008) 11:19Google Scholar
  • Sood A, Tellis GJ. Technological evolution and radical innovations. J. Marketing (2005) 69(3):152–168CrossrefGoogle Scholar
  • Sood A, Tellis GJ. Demystifying disruption: A new model for understanding and predicting disruptive technologies. Marketing Sci. (2011) 30(2):339–354LinkGoogle Scholar
  • Sood A, James GM, Tellis GJ. Functional regression: A new model for predicting market penetration of new products. Marketing Sci. (2009) 28(1):36–51LinkGoogle Scholar
  • Tashman LJ. Out-of-sample tests of forecasting accuracy: An analysis and review. Internat. J. Forecasting (2000) 16(4):437–450CrossrefGoogle Scholar
  • Tellis GJ. Important research questions in technology and innovation. Indust. Marketing Management (2008) 37(6):629–632CrossrefGoogle Scholar
  • Tushman ML, Anderson P. Technological discontinuities and organizational environments. Admin. Sci. Quart. (1986) 31(3):439–465CrossrefGoogle Scholar
  • Tushman ML, Romanelli E. Organizational evolution: A metamorphosis model of convergence and reorientation. Res. Organ. Behav. (1985) 7:171–222Google Scholar
  • Urban GL, Carter T, Gaskin S, Mucha Z. Market share rewards to pioneering brands: An empirical analysis and strategic implications. Management Sci. (1986) 32(6):645–659LinkGoogle Scholar
  • Utterback JM, Abernathy WJ. A dynamic model of process and product innovation. Omega (1975) 3(6):639–656CrossrefGoogle Scholar
  • Walter C. Kryder’s law. Scientific Amer. (2005) 293(2):32–33CrossrefGoogle Scholar
  • Wolff MF. Chase Moore’s law, inventors urged. Res. Tech. Management (2004) 47(1):6CrossrefGoogle Scholar
  • Wollin A. Punctuated equilibrium: Reconciling theory of revolutionary and incremental change. Systems Res. Behav. Sci. (1999) 16(4):359–367CrossrefGoogle Scholar
  • Young P. Technological growth curves: A competition of forecasting models. Tech. Forecasting Soc. Change (1993) 44(4):375–389CrossrefGoogle Scholar
  • Young P, Ord JK. Model selection and estimation for technological growth curves. Internat. J. Forecasting (1989) 5(5):501–513CrossrefGoogle Scholar
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