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Multi-Market, Multi-Product New Product Diffusion: Decomposing Local, Foreign, and Indirect (Cross-Product) Effects

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  • Antonio Ladrón-de-Guevara
  • William Putsis

Abstract

In this study, we address an important issue largely ignored in existing diffusion research—the simultaneous diffusion of related (here, complementary) products across multiple interacting countries. In doing so, we demonstrate that incorporating prior diffusion of complementary products in an international framework leads to an enhanced substantive understanding of the evolution of cross-country diffusion. The limited prior research on cross-product interactions has focused exclusively on a single country. We extend this research by building a more complete view of the role that prior diffusion of two interacting technologies play both within as well as across countries. Specifically, we decompose—on a country-by-country basis—the impact of three factors on the diffusion of any product: (a) prior diffusion of the product within each country, (b) prior diffusion of the same product in other counties, and (c) prior diffusion of a related product. This decomposition leads to a number of important strategic insights. We estimate and graph the three effects over time for each product and country using a comprehensive data set that covers the diffusion of PCs and the Internet over two decades—from 1981 to 2009—and across 19 countries. There are a number of interesting findings. First, we find that home PC diffusion was driven predominantly by local effects—the more individuals saw the penetration of home PCs grow locally, the greater the likelihood of adoption. Second, we find very different effects for the Internet—Internet adoption was driven by a combination of influences: (a) local network effects, (b) foreign network effects, and (c) cross-product effects. These results suggest that diffusion of one product can facilitate the diffusion of another product and that the impact can be asymmetric across products. When taken in aggregate, these results highlight the importance of incorporating and estimating cross-product effects in a multi-market new product diffusion context—one is able to obtain a more complete view of the impact of strategic decisions within a general diffusion process in markets that develop and evolve dynamically over time. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Antonio Ladrón-de-Guevara & William Putsis, 2015. "Multi-Market, Multi-Product New Product Diffusion: Decomposing Local, Foreign, and Indirect (Cross-Product) Effects," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 57-70, March.
  • Handle: RePEc:spr:custns:v:2:y:2015:i:1:p:57-70
    DOI: 10.1007/s40547-014-0032-x
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    1. Binken, J.L.G. & Stremersch, S., 2008. "The Effect of Superstar Software on Hardware Sales in System Markets," ERIM Report Series Research in Management ERS-2008-025-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. van Everdingen, Y.M. & Fok, D. & Stremersch, S., 2008. "Modeling Global Spill-Over of New Product Takeoff," ERIM Report Series Research in Management ERS-2008-067-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Nicholas Economides, 1997. "The Economics of Networks," Brazilian Electronic Journal of Economics, Department of Economics, Universidade Federal de Pernambuco, vol. 1(0), December.
    4. Jeffrey Rohlfs, 1974. "A Theory of Interdependent Demand for a Communications Service," Bell Journal of Economics, The RAND Corporation, vol. 5(1), pages 16-37, Spring.
    5. Amiya Basu & Tridib Mazumdar & S. P. Raj, 2003. "Indirect Network Externality Effects on Product Attributes," Marketing Science, INFORMS, vol. 22(2), pages 209-221, April.
    6. Stremersch, S. & Tellis, G.J. & Franses, Ph.H.B.F. & Binken, J.L.G., 2007. "Indirect Network Effects in New Product Growth," ERIM Report Series Research in Management ERS-2007-019-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    7. Gerard J. Tellis & Stefan Stremersch & Eden Yin, 2003. "The International Takeoff of New Products: The Role of Economics, Culture, and Country Innovativeness," Marketing Science, INFORMS, vol. 22(2), pages 188-208, October.
    8. Frank M. Bass & Trichy V. Krishnan & Dipak C. Jain, 1994. "Why the Bass Model Fits without Decision Variables," Marketing Science, INFORMS, vol. 13(3), pages 203-223.
    9. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    10. Goolsbee, Austan & Klenow, Peter J, 2002. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 317-343, October.
    11. Christophe Van den Bulte & Yogesh V. Joshi, 2007. "New Product Diffusion with Influentials and Imitators," Marketing Science, INFORMS, vol. 26(3), pages 400-421, 05-06.
    12. Michael L. Katz & Carl Shapiro, 1994. "Systems Competition and Network Effects," Journal of Economic Perspectives, American Economic Association, vol. 8(2), pages 93-115, Spring.
    13. Sachin Gupta & Dipak C. Jain & Mohanbir S. Sawhney, 1999. "Modeling the Evolution of Markets with Indirect Network Externalities: An Application to Digital Television," Marketing Science, INFORMS, vol. 18(3), pages 396-416.
    14. William P. Putsis, Jr. & Sridhar Balasubramanian & Edward W. Kaplan & Subrata K. Sen, 1997. "Mixing Behavior in Cross-Country Diffusion," Marketing Science, INFORMS, vol. 16(4), pages 354-369.
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