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    Limitations of weighted sum measures for information quality

    Helfert, Markus and Foley, Owen and Ge, Mouzhi and Cappiello, Cinzia (2009) Limitations of weighted sum measures for information quality. Proceedings of the Fifteenth Americas Conference on Information Systems.

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    In an age dominated by information, information quality (IQ) is one of the most important factors to consider for obtaining competitive advantages. The general approach to the study of IQ has relied heavily on management approaches, IQ frameworks and dimensions. There are many IQ measures proposed, however dimensions in most frameworks are analyzed and assessed independently. Approaches to aggregate values have been discussed, by which foremost research mostly suggests to estimate the overall quality of information by total all weighted dimension scores. In this paper, we review the suitability of this assessment approach. In our research we focus on IQ dependencies and trade-offs and we aim at demonstrating by means of an experiment that IQ dimensions are dependent. Based on our result of dependent IQ dimensions, we discuss implications for IQ improvement. Further research studies can build on our observations.

    Item Type: Article
    Keywords: Information quality; IQ dimensions; IQ assessment; IQ Measurement;
    Academic Unit: Faculty of Social Sciences > School of Business
    Item ID: 12868
    Depositing User: Markus Helfert
    Date Deposited: 12 May 2020 10:02
    Journal or Publication Title: Proceedings of the Fifteenth Americas Conference on Information Systems
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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