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Analyzing Social Media for Corporate Reputation Management: How Firms Can Improve Business Agility

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  • Christoph Seebach

    (Department of Business Administration, Goethe University Frankfurt, Frankfurt, Germany)

  • Roman Beck

    (Department of Business Administration, Goethe University Frankfurt, Frankfurt, Germany)

  • Olga Denisova

    (Department of Business Administration, Goethe University Frankfurt, Frankfurt, Germany)

Abstract

The business agility concept reflects an organization’s need to develop sensing capabilities for being able to respond to changes in the business environment. Therefore, intelligent information systems are needed to support decision makers with accurate and timely information. Since corporate reputation is among the most valuable assets, organizations need efficient measuring techniques to manage it. Recently, due to the advent of social media new reputational challenges have emerged for firms, since such technologies significantly increase the risk for being associated with negative issues. Therefore, organizations should utilize there IT-systems for actively sensing social media content as a basis for a quick response to reputational threats. Accordingly, the authors provide an empirical example on how firms might improve reputation management through sensing social media. Specifically, the authors analyze a dataset of 271,207 messages about an American Bank collected on Twitter. For their empirical investigation, the applied automated sentiment analysis and manual content analysis.

Suggested Citation

  • Christoph Seebach & Roman Beck & Olga Denisova, 2013. "Analyzing Social Media for Corporate Reputation Management: How Firms Can Improve Business Agility," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 4(3), pages 50-66, July.
  • Handle: RePEc:igg:jbir00:v:4:y:2013:i:3:p:50-66
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    Cited by:

    1. Roberta De Michele & Gianluca Marchi, 2018. "Influencer identification and selection on social networking sites: An analysis on Instagram," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2018(4), pages 129-153.

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