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Towards a Conceptualization of Data and Information Quality in Social Information Systems

Author

Listed:
  • Roman Tilly

    (University of Cologne)

  • Oliver Posegga

    (University of Bamberg)

  • Kai Fischbach

    (University of Bamberg)

  • Detlef Schoder

    (University of Cologne)

Abstract

Data and information quality (DIQ) have been defined traditionally in an organizational context and with respect to traditional information systems (IS). Numerous frameworks have been developed to operationalize traditional DIQ accordingly. However, over the last decade, social information systems (SocIS) such as social media have emerged that enable social interaction and open collaboration of voluntary prosumers, rather than supporting specific tasks as do traditional IS in organizations. Based on a systematic literature review, the paper identifies and categorizes prevalent DIQ conceptualizations. The authors differentiate the various understandings of DIQ in light of the unique characteristics of SocIS and conclude that they do not capture DIQ in SocIS well, nor how it is defined, maintained, and improved through social interaction. The paper proposes a new conceptualization of DIQ in SocIS that can explain the interplay of existing conceptualizations and provides the foundation for future research on DIQ in SocIS.

Suggested Citation

  • Roman Tilly & Oliver Posegga & Kai Fischbach & Detlef Schoder, 2017. "Towards a Conceptualization of Data and Information Quality in Social Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(1), pages 3-21, February.
    • Handle: RePEc:spr:binfse:v:59:y:2017:i:1:d:10.1007_s12599-016-0459-8
    DOI: 10.1007/s12599-016-0459-8
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    References listed on IDEAS

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