The domains of Business Intelligence (BI) and social media have meanwhile become significant research fields. While BI aims at supporting an organization’s decisions by providing relevant analytical data, social media is an emerging source of personal and individual knowledge, opinion, and attitudes of stakeholders. For a while, a convergence of the two domains can be observed in real-world implementations and research, resulting in concepts like social BI. Many research questions still remain open – or even worse – are not yet formulated. Therefore, the paper aims at articulating a research agenda for social BI. By means of a literature review we systematically explored previous work and developed a framework. It contrasts social media characteristics with BI design areas and is used to derive the social BI research agenda. Our results show that the integration of social media (data) into a BI system has impact on almost all BI design objects.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:19841 |
| Date | January 2012 |
| Creators | Dinter, Barbara, Lorenz, Anja |
| Contributors | Technische Universität Chemnitz |
| Publisher | Association for Information Systems (AIS) |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Source | Thirty Third International Conference on Information Systems (ICIS 2012). Ed. by F. George Joey |
| Rights | info:eu-repo/semantics/openAccess |
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