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Information Systems for “Wicked Problems”

Author

Listed:
  • Detlef Schoder
  • Johannes Putzke
  • Panagiotis Metaxas
  • Peter Gloor
  • Kai Fischbach

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. Copyright Springer Fachmedien Wiesbaden 2014

Suggested Citation

  • Detlef Schoder & Johannes Putzke & Panagiotis Metaxas & Peter Gloor & Kai Fischbach, 2014. "Information Systems for “Wicked Problems”," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(1), pages 3-10, February.
  • Handle: RePEc:spr:binfse:v:6:y:2014:i:1:p:3-10
    DOI: 10.1007/s12599-013-0303-3
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    1. Forsythe, Robert & Forrest Nelson & George R. Neumann & Jack Wright, 1992. "Anatomy of an Experimental Political Stock Market," American Economic Review, American Economic Association, vol. 82(5), pages 1142-1161, December.
    2. Jan Leimeister, 2010. "Collective Intelligence," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(4), pages 245-248, August.
    3. Martin Spann & Bernd Skiera, 2003. "Internet-Based Virtual Stock Markets for Business Forecasting," Management Science, INFORMS, vol. 49(10), pages 1310-1326, October.
    4. Manju K. Ahuja & Dennis F. Galletta & Kathleen M. Carley, 2003. "Individual Centrality and Performance in Virtual R& D Groups: An Empirical Study," Management Science, INFORMS, vol. 49(1), pages 21-38, January.
    5. Thomas Gruber, 2007. "Ontology of Folksonomy: A Mash-Up of Apples and Oranges," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 3(1), pages 1-11, January.
    6. Kai Fischbach & Peter A. Gloor & Detlef Schoder, 2009. "Analysis of Informal Communication Networks – A Case Study," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(2), pages 140-149, April.
    7. Manju K. Ahuja & Kathleen M. Carley, 1999. "Network Structure in Virtual Organizations," Organization Science, INFORMS, vol. 10(6), pages 741-757, December.
    8. Georgios Tziralis & Ilias Tatsiopoulos, 2007. "Prediction Markets: An Extended Literature Review," Journal of Prediction Markets, University of Buckingham Press, vol. 1(1), pages 75-91, February.
    9. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    10. Kietzmann, Jan H. & Hermkens, Kristopher & McCarthy, Ian P. & Silvestre, Bruno S., 2011. "Social media? Get serious! Understanding the functional building blocks of social media," Business Horizons, Elsevier, vol. 54(3), pages 241-251, May.
    11. Stanley Wasserman & Philippa Pattison, 1996. "Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 401-425, September.
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