Content area

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.[PUBLICATION ABSTRACT]

Details

Title
Social Media Analytics
Author
Stieglitz, Stefan; Dang-xuan, Linh; Bruns, Axel; Neuberger, Christoph
Pages
89-96
Publication year
2014
Publication date
Apr 2014
Publisher
Springer Nature B.V.
ISSN
23637005
e-ISSN
18670202
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1508630428
Copyright
Springer Fachmedien Wiesbaden 2014