Has the Internet accelerated the diffusion of new products?
In this paper we measure the effect of Internet adoption on consumers' propensity to adopt a wide range of diffusing products. To do this, we utilize a rich panel of household surveys on purchases of relatively new technology products. Our results indicate that the Internet accelerates product diffusion, but with varying magnitude. In an attempt to determine the mechanisms underlying this effect, we find direct evidence that the Internet does not increase product awareness. However, we find suggestive evidence that the Internet increases adoption rates both through access to increased information about new products (via online research) and through online shopping. We also find that the magnitude of the Internet's effect is strongly tied to diffusion rates, and especially familiarity rates. This finding is consistent with Internet access having the greatest impact on the adoption of products with more developed marketing strategies (i.e., more developed information sources and online markets). Our findings indicate that the Internet helps bolster demand for products early in their diffusion process, and they suggest that improved access to information and the convenience of online shopping are likely the primary drivers of this effect. Consequently, to the extent that accelerated diffusion of new products is (on net) desirable, our findings may provide a further argument toward social promotion of Internet adoption.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ajay Agrawal & Avi Goldfarb, 2008.
"Restructuring Research: Communication Costs and the Democratization of University Innovation,"
American Economic Review,
American Economic Association, vol. 98(4), pages 1578-1590, September.
- Ajay K. Agrawal & Avi Goldfarb, 2006. "Restructuring Research: Communication Costs and the Democratization of University Innovation," NBER Working Papers 12812, National Bureau of Economic Research, Inc.
- James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
- Gaspar, Jess & Glaeser, Edward L., 1998.
"Information Technology and the Future of Cities,"
Journal of Urban Economics,
Elsevier, vol. 43(1), pages 136-156, January.
- Jess Gaspar & Edward Glaeser, 1996. "Information Technology and the Future of Cities," NBER Working Papers 5562, National Bureau of Economic Research, Inc.
- Jess Gaspar & Edward L. Glaeser, 1996. "Information Technology and the Future of Cities," Harvard Institute of Economic Research Working Papers 1756, Harvard - Institute of Economic Research.
- Downes, Tom & Greenstein, Shane, 2002. "Universal access and local internet markets in the US," Research Policy, Elsevier, vol. 31(7), pages 1035-1052, September.
- Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
- Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
- Geroski, Paul A, 1999. "Models of Technology Diffusion," CEPR Discussion Papers 2146, C.E.P.R. Discussion Papers.
- Massoud Karshenas & Paul L. Stoneman, 1993. "Rank, Stock, Order, and Epidemic Effects in the Diffusion of New Process Technologies: An Empirical Model," RAND Journal of Economics, The RAND Corporation, vol. 24(4), pages 503-528, Winter.
- Karshenas, Massoud & Stoneman, Paul, 1990. "Rank, Stock, Order And Epidemic Effects In The Diffusion Of New Process Technologies : An Empirical Model," The Warwick Economics Research Paper Series (TWERPS) 358, University of Warwick, Department of Economics.
When requesting a correction, please mention this item's handle: RePEc:eee:respol:v:38:y:2009:i:8:p:1269-1277. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.