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Erschienen in: Business & Information Systems Engineering 2/2014

01.04.2014 | Research Notes

Social Media Analytics

An Interdisciplinary Approach and Its Implications for Information Systems

verfasst von: Stefan Stieglitz, Linh Dang-Xuan, Axel Bruns, Christoph Neuberger

Erschienen in: Business & Information Systems Engineering | Ausgabe 2/2014

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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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Metadaten
Titel
Social Media Analytics
An Interdisciplinary Approach and Its Implications for Information Systems
verfasst von
Stefan Stieglitz
Linh Dang-Xuan
Axel Bruns
Christoph Neuberger
Publikationsdatum
01.04.2014
Verlag
Springer Fachmedien Wiesbaden
Erschienen in
Business & Information Systems Engineering / Ausgabe 2/2014
Print ISSN: 2363-7005
Elektronische ISSN: 1867-0202
DOI
https://doi.org/10.1007/s12599-014-0315-7

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