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Erschienen in: WIRTSCHAFTSINFORMATIK 1/2014

01.02.2014 | Research Notes

Informationssysteme für „Wicked Problems“

Forschung an der Schnittstelle von Social Media und 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: WIRTSCHAFTSINFORMATIK | Ausgabe 1/2014

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Zusammenfassung

Mit unserem Forschungskommentar zeigen wir vielversprechende Forschungsrichtungen auf, die aus dem wechselseitigen Zusammenspiel von Social Media und Collective Intelligence hervorgehen. Wir konzentrieren uns auf sogenannte „Wicked Problems“ – eine Klasse von Problemen, „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“ (Introne et al. in Künstl. Intell. 27:45–52, 2013). Wir argumentieren, dass insbesondere die Disziplin Wirtschaftsinformatik einen Beitrag zur Gestaltung geeigneter Systeme leisten kann und zwar aufgrund des Nutzens, der sich aus einer kombinierten Perspektive von Social Media und Collective Intelligence ableitet. Wir legen die Relevanz und Aktualität von Social Media und Collective Intelligence für die Wirtschaftsinformatik dar, schlagen erforderliche Funktionalitäten von Informationssystemen für Wicked Problems vor, beschreiben verwandte Themenfelder und Herausforderungen für die Forschung, identifizieren wissenschaftliche Methoden zu ihrer Lösung und führen konkrete Beispiele für erste Forschungsergebnisse an.
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1
Für andere Interpretationen des Begriffs Social Media vgl. Kaplan und Haenlein (2010, S. 59–68); Kietzmann et al. (2011, S. 241–251).
 
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Metadaten
Titel
Informationssysteme für „Wicked Problems“
Forschung an der Schnittstelle von Social Media und 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
WIRTSCHAFTSINFORMATIK / Ausgabe 1/2014
Print ISSN: 0937-6429
Elektronische ISSN: 1861-8936
DOI
https://doi.org/10.1007/s11576-013-0395-x

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