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Social Media Analytics

Author

Listed:
  • Stefan Stieglitz
  • Linh Dang-Xuan
  • Axel Bruns
  • Christoph Neuberger

Abstract

In this contribution, we introduce “social media analytics” (SMA) as an emerging interdisciplinary research field that, in our view, will have a significant impact on social media-related future research from across different academic disciplines. Despite a number of challenges, we argue that SMA can provide other disciplines – including IS – with methodological foundations for research that focuses on social media. Furthermore, we believe that SMA can help IS research to develop decision-making or decision-aiding frameworks by tackling the issue of social media-related performance measurement, which has been challenging until now. Moreover, SMA can provide architectural designs and solution frameworks for new social media-based applications and information systems. Finally, we call for an interdisciplinary SMA research agenda as well as a significantly increased level of interdisciplinary research co-operation, which must aim to generate significant advancements in scientific methods for analyzing social media, as well as to answer research questions from across different disciplines. Copyright Springer Fachmedien Wiesbaden 2014

Suggested Citation

  • Stefan Stieglitz & Linh Dang-Xuan & Axel Bruns & Christoph Neuberger, 2014. "Social Media Analytics," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(2), pages 89-96, April.
    • Handle: RePEc:spr:binfse:v:6:y:2014:i:2:p:89-96
    DOI: 10.1007/s12599-014-0315-7
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