Abstract
The neoclassical approach to innnovation is based on its economic advantages and thus in a strict sense seems to be applicable only to incremental innovations with a low degree of novelty. It is contended in this paper that so-called generic innovations, which are more important to the evolutionary process because of their high degree of novelty, always bring about uncertainty which will be compensated by social contacts, i.e. by communication. The author shows that a communication model based on very simple assumptions and implemented as a simulation model is able not only to sketch significant features of the diffusion process but also to give additional clues to the process modelled.
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References
Allen PM (1988) Evolution, innovation and economics. In: Dosi G et al (eds) Technical change and economic theory. Printer Publishers, London New York, pp 95–119
Allen ThJ, Hyman DB, Pinckney DL (1983) Transferring technology to the small firm: a study of technology transfer in three countries. Res Policy 12:199–211
Arthur WB (1988) Competing technologies: an overview. In: Dosi G et al (eds) Technical change and economic theory. Pinter Publishers, London New York, pp 590–607
Bass FM (1969) A new product growth model for consumer durables. Manag Sci 15:215–227
Cavalli-Sforza LL, Feldman MW (1981) Cultural transmission and evolution: a quantitative approach. Princeton University Press, Princeton, NJ
Clark P (1987) Anglo-American innovation. de Gruyter, Berlin New York
Dosi G, Freeman Ch, Nelson R, Silverberg G, Soete L (eds) (1988) Technical change and economic theory. Pinter Publishers, London New York
Gerybadze A (1982) Innovation, Wettbewerb und Evolution. Mohr, Tübingen
Hippel E von (1988) The sources of innovation. Oxford University Press, New York Oxford
Hofstätter P (1957) Gruppendynamik. Die Kritik der Massenpsychologie. Rowohlt, Hamburg
Kaas K (1973) Diffusion und Marketing. Poeschel, Stuttgart
Karlsson G (1967) Ein mathematisches Modell der Nachrichtenverarbeitung. In: Mayntz R (ed) Formalisierte Modelle in der Soziologie. Luchterhand. Neuwied Berlin
Katona G (1946) Psychological analysis of business decisions and expectations. Am Econ Rev 36:51–66
Kroeber-Riel W (1980) Konsumentenverhalten, 2. Aufl. Vahlen, München
Mansfield E (1968) Technological change. Norton, New York
May RM (1976) Simple mathematical models with very complicated dynamics. Nature 261:459–467
Metcalfe JS (1988) The diffusion of innovation. In: Dosi G et al (eds) Technical change and economic theory. Pinter Publishers, London New York, pp 560–574
Nelson R, Winter S (1982) An evolutionary theory of economic change. Belknap Press, Cambridge, Mass
Rogers EM (1983) Diffusion of innovations. 3rd edn. The Free Press, New York
Schenk M (1988) Agenda-setting: zur Wirkung der Massenmedien. Spektrum Wiss H. 6:42–44
Schnabl H (1989) Erwartungen und Aggregation. In: Cambel AB, Fritsch B, Keller JU (Hrsg) Dissipative Strukturen in integrierten Systemen. Nomos, Baden-Baden, S 315–332
Schneider Fr (1985) Journalismus als Vermittlung oder als Proporzritual. Spektrum Wiss H. 3: 32–34
Schünemann TM, Bruns T (1985) Entwicklung eines Diffusionsmodells für technische Innovationen. Z Betriebswirtsch 55:166–185
Schuman H, Johnson MP (1976) Attitudes and behavior. Ann Rev Sociol 25:161–207
Triandis HC (1975) Einstellungen und Einstellungsänderungen. Beltz, Weinheim Basel
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Schnabl, H. Agenda-diffusion and innovation. J Evol Econ 1, 65–85 (1991). https://doi.org/10.1007/BF01202339
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DOI: https://doi.org/10.1007/BF01202339