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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.
    3. Niu, Ben & Mvondo, Gustave Florentin Nkoulou, 2024. "I Am ChatGPT, the ultimate AI Chatbot! Investigating the determinants of users' loyalty and ethical usage concerns of ChatGPT," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).

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