Social Media Analytics |
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Authors: | Stefan Stieglitz Linh Dang-Xuan Axel Bruns Christoph Neuberger |
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Institution: | 1. Department of Information Systems, University of Muenster, Leonardo Campus 11, 48149, Muenster, Germany 2. University of Muenster, Muenster, Germany 3. Queensland University of Technology, Kelvin Grove, Australia 4. Ludwig-Maximilians-University Munich, Munich, Germany
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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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