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  • 标题:Social Media Analytics - An Interdisciplinary Approach and Its Implications for Information Systems
  • 本地全文:下载
  • 作者:Stieglitz, Stefan ; Dang-Xuan, Linh ; Bruns, Axel
  • 期刊名称:Business & Information Systems Engineering
  • 出版年度:2014
  • 卷号:6
  • 期号:2
  • 页码:89-96
  • 出版社:Association for Information Systems
  • 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 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.
  • 关键词:Social media analytics; Information systems; Big data; Interdisciplinary methods; Research agenda; Interdisciplinary co-operation
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