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Business & Information Systems Engineering
Erschienen in: Business & Information Systems Engineering 1/2014

01.02.2014 | Research Notes

Information Systems for “Wicked Problems”

Research at the Intersection of Social Media and Collective Intelligence

verfasst von: Prof. Dr. Detlef Schoder, Dr. Johannes Putzke, Prof. Panagiotis Takis Metaxas, Prof. Dr. Peter A. Gloor, Prof. Dr. Kai Fischbach

Erschienen in: Business & Information Systems Engineering | Ausgabe 1/2014

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Abstract

The objective of this commentary is to propose fruitful research directions built upon the reciprocal interplay of social media and collective intelligence. We focus on “wicked problems” – a class of problems that Introne et al. (Künstl. Intell. 27:45–52, 2013) call “problems for which no single computational formulation of the problem is sufficient, for which different stakeholders do not even agree on what the problem really is, and for which there are no right or wrong answers, only answers that are better or worse from different points of view”. We argue that information systems research in particular can aid in designing appropriate systems due to benefits derived from the combined perspectives of both social media and collective intelligence. We document the relevance and timeliness of social media and collective intelligence for business and information systems engineering, pinpoint needed functionality of information systems for wicked problems, describe related research challenges, highlight prospective suitable methods to tackle those challenges, and review examples of initial results.
Vorheriger Artikel Emerging Research Areas in Business and Information Systems Engineering
Nächster Artikel Shaping the Next Incarnation of Business Intelligence

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Fußnoten
1
For different interpretations of the term “social media” see Kaplan and Haenlein (2010, pp. 59–68); Kietzmann et al. (2011, pp. 241–251).
 
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Metadaten
Titel
Information Systems for “Wicked Problems”
Research at the Intersection of Social Media and Collective Intelligence
verfasst von
Prof. Dr. Detlef Schoder
Dr. Johannes Putzke
Prof. Panagiotis Takis Metaxas
Prof. Dr. Peter A. Gloor
Prof. Dr. Kai Fischbach
Publikationsdatum
01.02.2014
Verlag
Springer Fachmedien Wiesbaden
Erschienen in
Business & Information Systems Engineering / Ausgabe 1/2014
Print ISSN: 2363-7005
Elektronische ISSN: 1867-0202
DOI
https://doi.org/10.1007/s12599-013-0303-3

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