Social Media AnalyticsAn Interdisciplinary Approach and Its Implications for Information Systems

被引:0
|
作者
Stefan Stieglitz
Linh Dang-Xuan
Axel Bruns
Christoph Neuberger
机构
[1] University of Muenster,Department of Information Systems
[2] University of Muenster,undefined
[3] Queensland University of Technology,undefined
[4] Ludwig-Maximilians-University Munich,undefined
来源
Business & Information Systems Engineering | 2014年 / 6卷
关键词
Social media analytics; Information systems; Big data; Interdisciplinary methods; Research agenda; Interdisciplinary co-operation;
D O I
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中图分类号
学科分类号
摘要
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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页码:89 / 96
页数:7
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