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An Eclectic Perspective to Model Adoption of Technological Innovations

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Proceedings of the 1991 Academy of Marketing Science (AMS) Annual Conference

Abstract

The failure of substantial number of innovations in the marketplace is of concern to both marketing researchers and managers. One possible reason for this failure is the inappropriate application of innovation diffusion models. Another possible reason is the difficulty in analyzing when and why innovations are desired by the market. Some diffusion researchers have long maintained that a particular set of variables, such as evaluation of innovation attributes, was the best predictor of adoption behavior. Other researchers have championed personal characteristics of adopters as the most predictive variable of adoption. This paper presents an eclectic model of adoption that synthesizes concepts from key research traditions. The paper concludes with a discussion of implications for future diffusion research and theory.

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References

  • Brown, Lawrence A. (1981), "Innovation Diffusion: A New Perspective." New York: Methuen and Co. Ltd.

    Google Scholar 

  • Brundner, Lowell and Bryant Kearl (1964), "Evaluation for Congruence as a Factor in Adoption Rate of Innovation." Rural Sociology, 29: 288–303.

    Google Scholar 

  • Crawford, M.C. (1987), "New Products Management." Homewood, IL: Irwin.

    Google Scholar 

  • Cohen, J.B. (1982), "The Role of Affect in Categorization: Towards a reconsideration of the Concept of Attitude." Reprint #12, Center for Consumer Research, College of Business Administration, University of Florida, Gainesville, Florida, Gainesville, Florida.

    Google Scholar 

  • Dickson, Peter (1982), "Person-Situation Segmentation: Missing Link," Journal of Marketing. Volume 46 (Fall), 56–64.

    Article  Google Scholar 

  • Fliegel, Frederick C. and Joseph E. Kivlin (1966), "Attributes of Innovations as Factors in Diffusion," American Journal of Sociology. 72 (November), 235–248.

    Article  Google Scholar 

  • Hassan, Salah S. (1984), "Criteria for Making Decisions About Adoption of New Technologies: A Test of a Diffusion-Economic Constraint Model." Doctoral Dissertation, The Ohio State University, Columbus, Ohio.

    Google Scholar 

  • Hassan, Salah S. and Stanley V. Scott (1987), "Importance of Buyers' Criteria for Evaluating New Technology Attributes." In J.M. Hawes and G.B. Glisan(ed.), "Developments in Marketing Science." Vol. X, Bal Harbour, FL: Academy of Marketing Science Proceedings, 24–28.

    Google Scholar 

  • Hassan, Salah S. (1990), "Behavioral Dimensions of New Product Acceptance", Journal of International Food and Agribusiness Marketing. 2 (2), 77–93.

    Article  Google Scholar 

  • Hirschman, Elizabeth C. (1980), Tnnovativeness, Novelty Seeking, and Consumer Creativity", Journal of Consumer Research. 7, 283–95.

    Article  Google Scholar 

  • Offutt, N.E. (1982), "Perceived Product Attributes and the Innovation Decision Process: An Empirical Analysis of Interactive Cable Television", an unpublished doctoral dissertation, The Ohio State University.

    Google Scholar 

  • Ostlund, Lyman E. (1974), "Perceived Innovation Attributes as Predictors of Innovativeness", Journal of Consumer Research. 1 (June), 23–29.

    Article  Google Scholar 

  • Ostlund, Lyman E. (1973), "Factor Analysis Applied to Predictors of Innovative Behavior", Decision Sciences. 4, 92–108.

    Article  Google Scholar 

  • Ram, S. and Jagdish N. Sheth (1989), "Consumer Resistance to Innovations: The Marketing Problem and Its Solutions", Journal of Consumer Marketing. 6 (Spring), 5–14.

    Article  Google Scholar 

  • Robertson, Thomas S. (1971), "Innovative Behavior and Communication." New York: Holt, Rinehart & Winston.

    Google Scholar 

  • Robertson, Thomas S. (1984), "Marketing's Potential Contribution to ConsumerBehavior Research: The Case of Diffusion Theory", in Advances in Consumer Research. XI, 484–89.

    Google Scholar 

  • Robertson and Gatignon (1986), "Competitive Effects on Technology Diffusion," Journal of Marketing. 50 (July), 1–12.

    Article  Google Scholar 

  • Rogers, Everett M. (1962), "Diffusion of Innovations". (1st ed.), New York: The Free Press.

    Google Scholar 

  • Rogers, Everett. M. (1983), "Diffusion of Innovations". New York: The Free Press.

    Google Scholar 

  • Rogers, Everett. M. and F.Floyd Shoemaker (1971), "Communication of Innovations: A Cross Cultural Approach". New York: The Free Press.

    Google Scholar 

  • Rosch, E. (1978), "Principles of Categorization, in Cognition and Categorization". E. Rosch and B. Lloyd, eds., Hillsdale, N.J.: Lawrence Erlbaum Associates, Publishers.

    Google Scholar 

  • Sahal, Devendra (1981), "Patterns of Technological Innovation". Reading, Massachusetts, Addison-Wesley Publishing Company, Inc.

    Google Scholar 

  • Scott, Stanley V. (1985), "A Microanalytic New Product Adoption Paradigm: A Disaggregative Evaluation of Individual Differences in the Adoption of Two Technological Products", Doctoral Dissertation, The Ohio State University, Columbus, Ohio.

    Google Scholar 

  • Sheth, Jagdish N. (1981), "Psychology of Innovation Resistance: The Less Developed Concept (LDC) in Diffusion Research." Research in Marketing. J.N. Sheth, ed. Greenwich, CT: JAI Press, Inc., 273–82.

    Google Scholar 

  • Taylor, James W. (1977), "A Striking Characteristic of Innovators", Journal of Marketing Research. 14 (February), 104–07.

    Article  Google Scholar 

  • Urban, Glen L. and John R. Hauser (1980), "Design and Marketing of New Products". Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Von Hippel, E. (1984), "Novel Product Concepts from Lead Users: Segmenting Users by Experience", Report No. 84–109, Cambridge, Marketing Science Institute.

    Google Scholar 

  • Wind, Yoram (1978), "On the Interface Between Organizational and Consumer Buying Behavior Advances in Consumer Research", V, H.K. Hynt, ed., Provo, UT: Association of Consumer Research, 657–62.

    Google Scholar 

  • Zaltman, Gerald and Ronald Stiff (1973), "Theories of Diffusion In Consumer Behavior". Technical Sources, S. Ward and T.S. Robertson, eds; Englewood Cliffs, NJ: Prentice-Hall, 416–468.

    Google Scholar 

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Hassan, S.S., Scott, S.V. (2015). An Eclectic Perspective to Model Adoption of Technological Innovations. In: King, R. (eds) Proceedings of the 1991 Academy of Marketing Science (AMS) Annual Conference. Developments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer, Cham. https://doi.org/10.1007/978-3-319-17049-7_14

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