Literature Analysis of Innovation Diffusion
Ying Li, Mengqing Sui
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DOI: 10.4236/ti.2011.23016   PDF    HTML     9,349 Downloads   19,100 Views   Citations

Abstract

The theory of innovation diffusion has become increasingly complex and multifaceted in recent years. It has been used in consumer durables, services, pharmaceutical industry and other industry research. In this paper, we use literature analysis to study the development of innovation diffusion theory, searching related literatures from Elsevier, EBSCO, Emerald, Scopus and ISI databases published between 1990 and 2010. From these literatures, we analyze the number of literatures, journal distribution, core authors, as well as the main research directions. Then, we get many conclusions which are useful for the future research of innovation diffusion.

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Y. Li and M. Sui, "Literature Analysis of Innovation Diffusion," Technology and Investment, Vol. 2 No. 3, 2011, pp. 155-162. doi: 10.4236/ti.2011.23016.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] E. M. Rogers, “Diffusion of Innovations,” The Free Press, New York, 1995.
[2] F. M. Bass, “A New Product Growth Model for Consumer Durables,” Management Science, Vol. 15, No. 5, 1969, pp. 215-227. doi:10.1287/mnsc.15.5.215
[3] P. Renana, M. Eitan and M. Vijay, “Innovation Diffusion and New Product Growth Models: A Critical Review and Research Directions,” International Journal of Research in Marketing, Vol. 2, No. 27, 2010, pp. 91-106.
[4] M. Jones and C. J. Ritz, “Incorporating Distribution into New Products Diffusion Models,” International Journal of Research in Marketing, Vol. 8, No. 6, 1991, pp. 91-112. doi:10.1016/0167-8116(91)90018-3
[5] A. Rangaswamy and S. Gupta, “Innovation Adoption and Diffusion in the Digital Environment: Some Research Opportunities,” Kluwer Academic, Boston, 2000.
[6] R. J. Kauffman and A. Techatassanasoontorn, “International Diffusion of Digital Mobile Technology: A Coupled-Hazard State-Based Approach,” Information Technology and Management, Vol. 6, No. 3, 2005, pp. 253-292. doi:10.1007/s10799-005-5882-3
[7] C. Van den Bulte and S. Stremersch, “Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-analytic Test,” Marketing Science, Vol. 23, No. 4, 2004, pp. 530-544. doi:10.1287/mksc.1040.0054
[8] P. Bass and F. M. Bass, “IT Waves: Two Completed Generational Diffusion Models,” University of Texas, Dallas, 2004
[9] N. Kim, D. R. Chang and A. D. Shocker, “Modeling Intercategory and Generational Dynamics for a Growing Information Technology Industry,” Management Science, Vol. 46, No. 4, 2000, pp. 496-512. doi:10.1287/mnsc.46.4.496.12059
[10] P. R. Steffens, “A Model of Multiple Ownership as a Diffusion Process,” Technological Forecasting and Social Change, Vol. 70, No. 2, 2002, pp. 901-917.
[11] S. Gupta, D. C. Jain and M. S. Sawhney, “Modeling the Evolution of Markets with Indirect Network Externalities: an Application to Digital Television,” Marketing Science, Vol. 18, No. 3, 1999, pp. 396-416. doi:10.1287/mksc.18.3.396
[12] E. Bridges, C. K. Yim and R. A. Briesch, “A High-Tech Product Market Share Model with Customer Expectations,” Marketing Science, Vol. 14, No. 1, 1995, pp. 61-81. doi:10.1287/mksc.14.1.61
[13] R. Chatterjee and J. Eliashberg, “The Innovation Diffusion Process in a Heterogeneous Population: A Micro Modeling Approach,” Management Science, Vol. 36, No. 9, 1990, pp. 1057-1079. doi:10.1287/mnsc.36.9.1057
[14] B. Libai, E. Muller and R. Peres, “The Influence of within-Brand and Cross-Brand Word of Mouth on the Growth of Competitive Markets,” Journal of Marketing, Vol. 73, No. 2, 2009, pp. 19-34. doi:10.1509/jmkg.73.3.19
[15] S. Stremersch, G. J. Tellis, P. H. Franses and J. L. G. Binken, “Indirect Network Effects in New Product Growth,” Journal of Marketing, Vol. 71, No. 3, 2001, pp. 52-74. doi.org/10.1509/jmkg.71.3.52
[16] C. Van den Bulte and S. Stremersch, “Social Contagion and Income Heterogeneity in New Product Diffusion: A Meta-analytic Test,” Marketing Science, Vol. 23, No. 4, 2004, pp. 530-544. doi.org/10.1287/mksc.1040.0054
[17] G. Kossinets and D. J. Watts, “Empirical Analysis of an Evolving Social Network,” Science, Vol. 311, No. 5757, 2006, pp. 88-90. doi:10.1126/science.1116869
[18] W. Redmond, “Diffusion at Sub-national Levels: A Regional Analysis of New Product Growth,” Journal of Product Innovation Management, Vol. 11, No. 2, 1994, pp. 201-212. doi:10.1016/0737-6782(94)90003-5
[19] R. Desiraju, H. Nair and P. Chintagunta, “Diffusion of New Pharmaceutical Drugs in Developing and Developed Nations,” International Journal of Research in Marketing, Vol. 21, No. 4, 2004, pp. 341-357. doi:10.1016/j.ijresmar.2004.05.001
[20] J. H. Pae and D. R. Lehmann, “Multigeneration Innovation Diffusion: The Impact of Intergeneration Time,” Journal of the Academy of Marketing Science, Vol. 31, No. 1, 2003, pp. 36-45. doi:10.1177/0092070302238601
[21] B. L. Bayus, “Are Product Life Cycles Really Getting Shorter,” Journal of Product Innovation Management, Vol. 11, No. 4, 1994, pp. 300-308. doi:10.1016/0737-6782(94)90085-X
[22] J. Goldenberg and S. Oreg, “Laggards in Disguise: Resistance to Adopt and the Leapfrogging Effect,” Technological Forecasting and Social Change, Vol. 74, No. 8, 2007, pp. 1272-1281. doi:10.1016/j.techfore.2006.11.001
[23] V. Mahajan and E. Muller, “Timing, Diffusion, and Substitution of Successive Generations of Technological Innovations: The IBM Mainframe Case,” Technological Forecasting and Social Change, Vol. 51, No. 2, 1996, pp. 109-132. doi:10.1016/0040-1625(95)00225-1
[24] M. Hahn, S. Park, L. Krishnamurthi and A. Zoltners, “Analysis of New Product Diffusion Using a Four Segment Trial Repeat Model,” Marketing Science, Vol. 13, No. 3, 1994, pp. 221-247. doi:10.1287/mksc.13.3.224
[25] Melnikov, “Demand for Differentiated Durables Products: the Case of the US Computer Printer Market,” Working Paper, Department of Economics, Yale University, New Haven, 2000.
[26] V. Krishnant, F. Bass and V. Kumar, “Impact of a Late Entrant on the Diffusion of a New Product or Service,” Journal of Marketing Research, Vol. 37, No. 2, 2000, pp. 269-278. doi:10.1509/jmkr.37.2.269.18730
[27] J. A. Lee, P. Boatwright and W. A. Kamakura, “Bayesian Model for Prelaunch Sales Forecasting of Recorded Music,” Management Science, Vol. 49, No. 2, 2003, pp. 179-196. doi:10.1287/mnsc.49.2.179.12744
[28] V. Landsman and M. Givon, “The diffusion of a New Service: Combining Service Consideration and Brand Choice,” Quantitative Marketing and Economics, Vol. 8, No. 1, 2010, pp. 91-121. doi:10.1007/s11129-009-9077-9
[29] L. Holaks, D. R. Lehmann and F. Sultan, “The Role of Expectation in the Adoption of Innovative Consumer Durable: Some Preliminaly Evidence,” Journal of Retailing, Vol. 63, No. 3, 2987, pp. 243-259.
[30] L. A. Fourt and J. W. Woodlock, “Early Prediction of Market Success for New Grocery Products,” Journal of Marketing, Vol. 25, No. 2, 1960, pp. 31-38. doi:/10.2307/1248608
[31] E. Mansfield, “Technical Change and the Rate of Imitation,” Econometrica, Vol. 29, No. 4, 1961, pp. 741-756. doi:10.2307/1911817
[32] X. G. Gong and Z. C. Li, “Study on Multi-agent Simulation of New Product Market Diffusion,” Systems Engineering Theory & Practice, Vol. 12, No. 12, 2003, pp. 59-63.
[33] J. Goldenberg B. Libai S. Solomon, N. Jan and D. Stauffer, “Marketing Percolation,” Physica A, Vol. 284, No. 1-4, 2000, pp. 335-347.
[34] M. Granovetter, “Threshold Models of Collective Behavior,” American Journal of Sociology, Vol. 83, No. 6, 1978, pp. 1420-1443. doi:10.1086/226707
[35] J V. Neumann and A W. Burks, “Theory of Self-Reproducing Automata,” University of Illinois Press, Urbana, 1966.
[36] E. C. K. Bridges, R. Yim and A. Briesch, “A High-Teeh Product Market Share Model with Customer Expectations,” Marketing Science, Vol. 14, No. 1, 1995, pp. 61-81. doi:10.1287/mksc.14.1.61
[37] R. S. Winer, “A Price Vector Model of Demand for Consumer Durables: Preliminary Developments,” Marketing Science, Vol. 4, No. 1, 1985, pp. 74-90.

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