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The web mirrors value in the real world: comparing a firm’s valuation with its web network position

Author

Listed:
  • Qiaoyun Yun

    (South China Normal University
    MIT Center for Collective Intelligence)

  • Peter A. Gloor

    (MIT Center for Collective Intelligence)

Abstract

This paper compares a firm’s innovation and performance with its online Web presence measured through the Web network structure. 489 firms in five different industries listed on the United States and Chinese stock markets are investigated. Using Web link data collected from Bing, blogs, Twitter and Wikipedia, we find positive correlation between betweenness centrality of a firm in the Web network and its innovation capability; and between betweenness centrality and financial performance. In order to get more accurate forecasting results, regression analysis is done for each industry and the combined industries in the United States and China. We also find that Twitter and Wikipedia only predict a firm’s performance in the United States, which is not surprising as they are officially blocked in China. Blogs predict better in China than they do in the United States, as it might still be a major social media tool for Chinese firms; while for the US firms, blogs have been supplemented by Twitter and Wikipedia.

Suggested Citation

  • Qiaoyun Yun & Peter A. Gloor, 2015. "The web mirrors value in the real world: comparing a firm’s valuation with its web network position," Computational and Mathematical Organization Theory, Springer, vol. 21(4), pages 356-379, December.
    • Handle: RePEc:spr:comaot:v:21:y:2015:i:4:d:10.1007_s10588-015-9189-6
    DOI: 10.1007/s10588-015-9189-6
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    References listed on IDEAS

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    Cited by:

    1. Fronzetti Colladon, Andrea, 2018. "The Semantic Brand Score," Journal of Business Research, Elsevier, vol. 88(C), pages 150-160.
    2. Raúl M. Ortiz-Gaona & Marcos Postigo-Boix & José L. Melús-Moreno, 2021. "Extent prediction of the information and influence propagation in online social networks," Computational and Mathematical Organization Theory, Springer, vol. 27(2), pages 195-230, June.

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