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A framework for developing a domain specific business intelligence maturity model: Application to healthcare

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  • Brooks, Patti
  • El-Gayar, Omar
  • Sarnikar, Surendra

Abstract

The implementation of electronic health records has resulted in a rapid accumulation of data. Healthcare organizations can use business intelligence (BI) technologies to leverage the data and improve operational and clinical efficiency. Approaches to understanding BI readiness are needed for organizations to develop an overall BI strategy. While there are a number of BI maturity models, they are often generic and do not meet the industry specific requirements. This research proposes a framework for developing a domain specific BI maturity model. The research further demonstrates the efficacy of the framework by applying it to the development of a BI maturity model in healthcare. The results indicate that the framework is able to address the needs of a domain specific BI maturity model, and guide the development of such model that proved acceptable to expert practitioners in the field.

Suggested Citation

  • Brooks, Patti & El-Gayar, Omar & Sarnikar, Surendra, 2015. "A framework for developing a domain specific business intelligence maturity model: Application to healthcare," International Journal of Information Management, Elsevier, vol. 35(3), pages 337-345.
    • Handle: RePEc:eee:ininma:v:35:y:2015:i:3:p:337-345
    DOI: 10.1016/j.ijinfomgt.2015.01.011
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    References listed on IDEAS

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    Cited by:

    1. Shaygan, Amir & Daim, Tugrul, 2023. "Technology management maturity assessment model in healthcare research centers," Technovation, Elsevier, vol. 120(C).
    2. Maria Guadalupe Medina Barrera & Argelia B. Urbina Najera, 2021. "Medicion de Madurez en la Implementacion de Inteligencia de Negocios en PYMEs de TI(Measuring Business Intelligence Implementation Maturity in IT SMEs)," Revista Internacional de Gestión del Conocimiento y la Tecnología (GECONTEC), Revista Internacional de Gestión del Conocimiento y la Tecnología (GECONTEC), vol. 9(1), pages 61-79, May.
    3. Jaklič, Jurij & Grublješič, Tanja & Popovič, Aleš, 2018. "The role of compatibility in predicting business intelligence and analytics use intentions," International Journal of Information Management, Elsevier, vol. 43(C), pages 305-318.

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