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

Stieglitz Stefan, Dang-Xuan Linh, Bruns Axel, Neuberger Christoph


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.

Keywords
social media analytics; information systems; Big Data; interdisciplinary methods; research agenda; interdisciplinary co-operation



Publication type
Article in Journal

Peer reviewed
Yes

Publication status
Published

Year
2014

Journal
Business and Information Systems Engineering

Volume
6

Issue
2

Pages range
89-96

Language
English