You are not currently logged in.
Access JSTOR through your library or other institution:
Research Commentary: Long Tails vs. Superstars: The Effect of Information Technology on Product Variety and Sales Concentration Patterns
Erik Brynjolfsson, Yu (Jeffrey) Hu and Michael D. Smith
Information Systems Research
Vol. 21, No. 4 (December 2010), pp. 736-747
Published by: INFORMS
Stable URL: http://www.jstor.org/stable/23015641
Page Count: 12
You can always find the topics here!Topics: Product variety, Information technology, Retail stores, Economic competition, Consumer goods, Information storage and retrieval systems, Social media, Sales distribution, Consumer choice, Consumer research
Were these topics helpful?See somethings inaccurate? Let us know!
Select the topics that are inaccurate.
Preview not available
The Internet and related information technologies are transforming the distribution of product sales across products, and these effects are likely to grow in coming years. Both the Long Tail and the Superstar effect are manifestations of these changes, yet researchers lack consistent metrics or models for integrating and extending their insights and predictions. In this paper, we begin with a taxonomy of the technological and nontechnological drivers of both Long Tails and Superstars and then define and compare the key metrics for analyzing these phenomena. The core of the paper describes a large and promising set of questions forming a research agenda. Important opportunities exist for understanding future changes in sales concentration patterns; the impact on supply chains (including cross-channel competition, competition within the Internet channel, implications for the growth of firms, and the balance of power within the supply chain); implications for pricing, promotion, and product design; and, ultimately, the potential effects on society in general. Our approach provides an introduction to some of the relevant research findings and allows us to identify opportunities for cross-pollination of methods and insights from related research topics.
Information Systems Research © 2010 INFORMS