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Social Media Analytics
Authors:Stefan Stieglitz  Linh Dang-Xuan  Axel Bruns  Christoph Neuberger
Affiliation:1. Institut für Wirtschaftsinformatik, Universit?t Münster, Leonardo Campus 11, 48149, Münster, Deutschland
2. Universit?t Münster, Münster, Deutschland
3. Queensland University of Technology, Kelvin Grove, Australien
4. Ludwig-Maximilians-Universit?t München, München, Deutschland
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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