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Reconceptualizing information quality as effective use in the context of business intelligence and analytics

Author

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  • Torres, Russell
  • Sidorova, Anna

Abstract

Despite a significant body of knowledge related to BI&A success, questions remain regarding the mechanism through which BI&A contributes to organizational benefits. In this paper, we build on the representation theory of effective use in order to enrich the current understanding of BI&A success informed by the IS success model. The theoretical model proposed here casts an integrated construct, information-quality-as-effective-use, as the mediator between system quality, data quality, and BI&A personnel expertise and performance benefits. The results of the empirical testing support the propositions of the theoretical model. Implications for theory and practice are discussed.

Suggested Citation

  • Torres, Russell & Sidorova, Anna, 2019. "Reconceptualizing information quality as effective use in the context of business intelligence and analytics," International Journal of Information Management, Elsevier, vol. 49(C), pages 316-329.
    • Handle: RePEc:eee:ininma:v:49:y:2019:i:c:p:316-329
    DOI: 10.1016/j.ijinfomgt.2019.05.028
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    Cited by:

    1. Dalvi-Esfahani, Mohammad & Mosharaf-Dehkordi, Mehdi & Leong, Lam Wai & Ramayah, T. & Jamal Kanaan-Jebna, Abdulkarim M., 2023. "Exploring the drivers of XAI-enhanced clinical decision support systems adoption: Insights from a stimulus-organism-response perspective," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    2. Miguel A. Becerra & Catalina Tobón & Andrés Eduardo Castro-Ospina & Diego H. Peluffo-Ordóñez, 2021. "Information Quality Assessment for Data Fusion Systems," Data, MDPI, vol. 6(6), pages 1-30, June.

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