New Product Diffusion with Influentials and Imitators
AbstractWe model the diffusion of innovations in markets with two segments: who are more in touch with new developments and who affect another segment of whose own adoptions do not affect the influentials. This two-segment structure with asymmetric influence is consistent with several theories in sociology and diffusion research, as well as many “viral” or “network” marketing strategies. We have four main results. (1) Diffusion in a mixture of influentials and imitators can exhibit a dip or “chasm” between the early and later parts of the diffusion curve. (2) The proportion of adoptions stemming from influentials need not decrease monotonically, but may first decrease and then increase. (3) Erroneously specifying a mixed-influence model to a mixture process where influentials act independently from each other can generate systematic changes in the parameter values reported in earlier research. (4) Empirical analysis of 33 different data series indicates that the two-segment model fits better than the standard mixed-influence, the Gamma/Shifted Gompertz, and the Weibull-Gamma models, especially in cases where a two-segment structure is likely to exist. Also, the two-segment model fits about as well as the Karmeshu-Goswami mixed-influence model, in which the coefficients of innovation and imitation vary across potential adopters in a continuous fashion.
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Bibliographic InfoArticle provided by INFORMS in its journal Marketing Science.
Volume (Year): 26 (2007)
Issue (Month): 3 (05-06)
asymmetric influence; diffusion of innovations; innovation; market segments; social contagion; social structure;
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- Amini, Mehdi & Wakolbinger, Tina & Racer, Michael & Nejad, Mohammad G., 2012. "Alternative supply chain production–sales policies for new product diffusion: An agent-based modeling and simulation approach," European Journal of Operational Research, Elsevier, vol. 216(2), pages 301-311.
- Chung, Jaihak, 2011. "Investigating the roles of online buzz for new product diffusion and its cross-country dynamics," Journal of Business Research, Elsevier, vol. 64(11), pages 1183-1189.
- Jeehong Kim & Wonchang Hur, 2013. "Diffusion of competing innovations in influence networks," Journal of Economic Interaction and Coordination, Springer, vol. 8(1), pages 109-124, April.
- Beck, Jonathan, 2008.
Discussion Papers, Research Unit: Competition and Innovation
SP II 2008-13, Social Science Research Center Berlin (WZB).
- Peter Zubcsek & Miklos Sarvary, 2011. "Advertising to a social network," Quantitative Marketing and Economics, Springer, vol. 9(1), pages 71-107, March.
- Florian Probst & Laura Grosswiele & Regina Pfleger, 2013. "Who will lead and who will follow: Identifying Influential Users in Online Social Networks," Business & Information Systems Engineering, Springer, vol. 5(3), pages 179-193, June.
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