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.
Stieglitz, Stefan; Dang-Xuan, Linh; Bruns, Axel; and Neuberger, Christoph
"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