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Seizing the Opportunity: Exploiting Web Aggregation

Author

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  • Madnick, Stuart
  • Siegel, Michael

Abstract

This paper examines the development of web aggregators, entities that collect information from a wide range of sources, with or without prior arrangements, and add value through post-aggregation services. New Web-page extraction tools, context sensitive mediators, and agent technologies have greatly reduced the barriers to constructing aggregators. We predict that aggregators will soon emerge in industries where they were not formerly present. Through studying over a hundred existing and emerging aggregators, we present a model for understanding the aggregator's strategic interaction with existing organizations. We also suggest different ways that businesses can take advantage of the new opportunities presented. Finally, we provide valuable insights to all organizations concerning the issues, impacts, and actions required as aggregators become increasingly present.

Suggested Citation

  • Madnick, Stuart & Siegel, Michael, 2002. "Seizing the Opportunity: Exploiting Web Aggregation," Working papers 4351-01, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    • Handle: RePEc:mit:sloanp:691
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    File URL: http://hdl.handle.net/1721.1/691
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    Citations

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    Cited by:

    1. Zhu, Hongwei & Madnick, Stuart & Siegel, Michael, 2003. "Global Comparison Aggregation Services," Working papers 4410-02, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Liwen Vaughan & Guozhu Wu, 2004. "Links to commercial websites as a source of business information," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 487-496, August.
    3. Firat, Aykut & Madnick, Stuart & Yahaya, Nor Adnan & Kuan, Choo Wai & Bressan, Stéphane, 2005. "Information Aggregation using the Cameleon# Web Wrapper," Working papers 18231, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    4. Zhu, Hongwei & Siegel, Michael & Madnick, Stuart, 2008. "Enabling Global Price Comparison through Semantic Integration of Web Data," Working papers 40084, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    5. Liwen Vaughan & Justin You, 2008. "Content assisted web co-link analysis for competitive intelligence," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(3), pages 433-444, December.
    6. Erjia Yan & Qinghua Zhu, 2008. "Hyperlink analysis for government websites of Chinese provincial capitals," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 315-326, August.

    More about this item

    Keywords

    Web aggregators;

    Statistics

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