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.
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Accepted after two revisions by Professors Bichler, Hess, Krishnan, and Loos.
This article is also available in German in print and via http://www.wirtschaftsinformatik.de: Stieglitz S, Dang-Xuan L, Bruns A, Neuberger C (2014) Social Media Analytics. Ein interdisziplinärer Ansatz und seine Implikationen für die Wirtschaftsinformatik. WIRTSCHAFTSINFORMATIK. doi:10.1007/s11576-014-0407-5.
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Stieglitz, S., Dang-Xuan, L., Bruns, A. et al. Social Media Analytics. Bus Inf Syst Eng 6, 89–96 (2014). https://doi.org/10.1007/s12599-014-0315-7
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DOI: https://doi.org/10.1007/s12599-014-0315-7