Abstract
Die Diffusionstheorie beschäftigt sich mit dem Prozess der Verbreitung von Innovationen in einer Gesellschaft. Sie ist in zweierlei Hinsicht relevant für die Kommunikationswissenschaft: zum einen ist der Diffusionsprozess selbst ein maßgeblich durch massenmediale und interpersonale Kommunikationskanäle angetriebener Prozess, zum anderen stehen oftmals auch Medieninnovationen selbst im Blickpunkt von Diffusionsstudien. Medienwirkung ist die Diffusion von Innovationen dabei dahingehend, dass massenmediale Kanäle den Prozess der Verbreitung einer Innovation maßgeblich mit antreiben. Ebenso verändern (etwa technische) Innovationen Medienprodukte und -botschaften, ihre Verbreitung und damit auch ihre Wirkungspotenziale.
Die Diffusionstheorie konnte seit den 1940er Jahren eine Vielzahl an Faktoren herausarbeiten, die diesen Prozess beeinflussen und ihn auf der Mikro- wie auch auf der Makroebene modellieren. Jedoch gelingt es der Diffusionstheorie – trotz einer Vielzahl an empirischen Studien – erst in der jüngsten Vergangenheit, Kernkritikpunkte sowohl an ihrer theoretischen Konzeption als auch an der methodischen Umsetzung zu überwinden.
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Literaturtipps
Karnowski, V. (2011). Diff usionstheorien. Baden-Baden: Nomos.
Meyer, G. (2004). Diff usion Methodology: Time to Innovate? Journal of Health Communication 9(Supp1), 5-69.
Rogers, E. M. (2003). Diff usion of Innovations (5. Aufl.). New York: Free Press.
Vishwanath, A., & Barnett, G. A (Hrsg.) (2011). Th e Diff usion of Innovations. A Communication Science Perspective. New York: Peter Lang.
Literatur
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl, & J. Beckmann (Hrsg.), Springer series in social psychology: Action control. From cognition to behavior (S. 11 – 39). Berlin: Springer.
Bardini, T. (1994). A Translation Analysis of the Green Revolution in Bali. Science Technology Human Values 19, 152-168.
Bower, J. L., & Christensen, C. M. (1995). Disruptive Technologies: Catching the Wave. Harvard Business Review 73, 43-53.
Brandner, L., & Straus, M. A. (1959). Congruence versus Profi tability in the Diff usion of Hybrid Sorghum. Rural Sociology 24, 381-383.
Coleman, J. (1966). Medical innovation: A Diff usion Study. Indianapolis: Bobbs-Merrill.
de Certeau, M. (1988). Kunst des Handelns. Berlin: Merve.
Donner, J. (2007). Th e rules of beeping: exchanging messages via intentional „missed calls“ on mobile phones. Journal of Computer-mediated Communication 13(1).
Emmer, M., Kuhlmann, C., Vowe, G., & Wolling, J. (2002). Der 11. September – Informationsverbreitung, Medienwahl, Anschlusskommunikation. Media Perspektiven, 166 – 177.
Festinger, L. (1976). A theory of cognitive dissonance. Stanford: Stanford University Press.
Fidler, R. F. (1997). Mediamorphosis: Understanding new media. Th ousand Oaks: Pine Forge Press.
Fliegel, F. C., & Kivlin, J. E. (1966). Attributes of Innovations as Factors in Diff usion. American Journal of Sociology 72, 235-248.
Fliegel, F. C., Kivlin, J. E., & Sekhon, G. S. (1968). A cross-national Comparison of Farmers’ Perceptions of Innovations as related to Adoption Behavior. Rural Sociology 33, 437-449.
Hall, S. (1980). Encoding / Decoding. In S. Hall, D. Hobson & A. Lowe (Hrsg.), Culture, media, language: Working papers in cultural studies; 1972 – 79 (S. 128 – 138). London: Routledge.
Hightower, J. (1973). Hard tomatoes, hard times. Cambridge: Schenkman.
Jensen, J. (1991). Redeeming modernity: Contradictions in media criticism (2. Aufl.). Newbury Park: Sage.
Kaplan, A. W. (1999). From passive to active about solar electricity: innovation decision process and photovoltaic interest generation. Technovation 19, 467-481.
Karnowski, V., von Pape, T., & Wirth, W. (2006). Zur Diff usion Neuer Medien. Kritische Bestandsaufnahme aktueller Ansätze und Überlegungen zu einer integrativen Diff usionsund Aneignungstheorie Neuer Medien. Medien & Kommunikationswissenschaft 54, 56–74
Karnowski, V., von Pape, T., & Wirth, W. (2011). Overcoming the binary logic of adoption: On the integration of diff usion of innovations theory and the concept of appropriation. In A. Vishwanath, & G. Barnett (Hrsg.), Th e Diff usion of Innovations. A Communication Science Perspective (S. 57 – 75). New York: Peter Lang.
Katz, E. (1961). Th e Social Itinerary of Technical Change: Two Studies on the Diff usion of Innovation. Human Organization 20, 70-82.
Katz, E., Blumler, J. G., & Gurevitch, M. (1974). Utilization of mass communication by the individual. In J. G. Blumler, & E. Katz (Hrsg.), Th e uses of mass communications. Current perspectives on gratifi cations research (S. 19 – 32). Beverly Hills: Sage.
Klapper, J. T. (1961). Th e eff ects of mass communication. Glencoe: Free Press.
Lansing, J. S. (1991). Priests and programmers. Princeton, NJ: Princeton Univ. Press.
Lasswell, H. D. (1948). Th e structure and formation of Communication in Society. In L. Bryson (Hrsg.), Th e Communication of Ideas. (S. 37 – 51). New York: Harper and Brothers.
Lazarsfeld, P. F., Berelson, B., & Gaudet, H. (1944). Th e People’s Choice. How the Voter Makes Up His Mind in a Presidential Campaign. New York: Duell, Sloan, and Pearce.
Lin, C. A. (1998). Exploring personal computer adoption dynamics. Journal of Broadcasting & Electronic Media 42, 95-112.
Markus, M. L. (1987). Toward a „Critical Mass“ Th eory of Interactive Media: Universal Access, Interdependence and Diff usion. Communication Research, 14, 491-511.
Marsden, P. V., & Podolny, J. (1990). Dynamic Analysis of Network Diff usion Processes. In J. Weesie, & H. Flap (Hrsg.), Social Networks Th rough Time. Utrecht: ISOR.
McMaster, T., & Wastell, D. (2005). Diff usion – or delusion? Challenging an IS research tradition. Information Technology & People 18, 383-404.
Melkote, S. R., & Steeves, H. L. (2001). Communication for development in the third world: Th eory and practice for empowerment (2. Auflage). Th ousand Oaks: Sage.
Oulette, J. A., & Wood, W. (1998). Habit and Intention in Everyday Life: Th e Multiple Processes by Which Past Behavior Predicts Future Behavior. Psychological Bulletin 124, 54-74.
Pope, A. (1712). An essay on criticism. London: W. Lewis.
Rogers, E. M., & Shoemaker, F. (1972). Communication of Innovations (2. Aufl.). New York: Free Press.
Rogers, E. M. (1958). A Conceptual Variable Analysis of Technological Change. Rural Sociology 23, 136-145.
Rogers, E. M. (1962). Diff usion of Innovations. New York: Free Press.
Rogers, E. M. (2003). Diff usion of Innovations (5. Aufl.). New York: Free Press.
Rogers, E. M., & Seidel, N. (2002). Diff usion of News of the Terrorist Attacks of September 11, 2001. Prometheus, 20, 209-219.
Ryan, B. (1948). A Study in Technological Diff usion. Rural Sociology, 13, 273-285.
Silverstone, R., & Haddon, L. (1996). Design and the domestication of information and communication technologies: Technical change and everyday life. In R. Mansell, & R. Silverstone (Hrsg.), Communication by design: Th e politics of information and communication technologies (S. 44 – 74). Oxford: Oxford University Press.
Singhal, A. (2011). Turning Diff usion of Innovations Paradigm on Its Head. In A. Vishwanath, & G. A. Barnett (Hrsg.), Th e Diff usion of Innovations: A Communication Science Perspective (S. 193 – 205). New York: Peter Lang.
Strang, D., & Tuma, N. B. (1993). Spatial and Temporal Heterogeneity in Diff usion. American Journal of Sociology, 99, 614-639.
Valente, T. W. (2005). Network models and methods for studying the diff usion of innovations. In P. J. Carrington, J. Scott, & S. Wasserman (Hrsg.), Models and methods in social network analysis (S. 98 – 116). Cambridge: Cambridge University Press.
Valente, T. W. (2006). Communication Network Analysis and the Diff usion of Innovations. In A. Singhal, & J. W. Dearing (Hrsg.), Communication of Innovations. A Journey with Ev Rogers (S. 61 – 82). London: Sage.
von Pape, T. (2009). Media Adoption and Diff usion. In T. Hartmann (Hrsg.), Media Choice: A Th eoretical and Empirical Overview (S. 274 – 292). London: Routledge.
Walsh, S. T., & Linton, J. D. (2000). Infrastructure for emergent Industries based on discontinuous innovations. Engineering Management Journal, 12, 23.
Wang, F.-Y., Zeng, D., Carley, K. M., &Mao, W. (2007). Social Computing: From Social Informatics to Social Intelligence. IEEE Intelligent Systems, 22,79-83.
Wirth, W., von Pape, T., & Karnowski, V. (2008). An Integrative Model of Mobile Phone Appropriation. Journal of Computer-Mediated Communication, 13, 593-617.
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Karnowski, V. (2013). Diffusionstheorie. In: Schweiger, W., Fahr, A. (eds) Handbuch Medienwirkungsforschung. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-531-18967-3_27
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