"Social Media Analytics - An Interdisciplinary Approach and Its Implica" by Stefan Stieglitz, Linh Dang-Xuan et al.

Business & Information Systems Engineering

Article Title

Social Media Analytics - An Interdisciplinary Approach and Its Implications for Information Systems

Authors

Stefan Stieglitz, University of MuensterFollow
Linh Dang-Xuan, University of Muenster, Germany
Axel Bruns, Queensland University of Technology, Australia
Christoph Neuberger, Ludwig-Maximilians-University Munich, Germany

Document Type

Research Paper

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 decisionmaking or decision-aiding frameworks by tackling the issue of social mediarelated 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.

Recommended Citation

Stieglitz, Stefan; Dang-Xuan, Linh; Bruns, Axel; and Neuberger, Christoph (2014) "Social Media Analytics - An Interdisciplinary Approach and Its Implications for Information Systems," Business & Information Systems Engineering: Vol. 6: Iss. 2, 89-96.
Available at: https://aisel.aisnet.org/bise/vol6/iss2/4

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