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Institutionalization of Business Intelligence for the Decision-Making Iteration

Author

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  • Shaheb Ali

    (School of Business IT and Logistics, RMIT University, Melbourne, Australia)

  • Rafiqul Islam

    (School of Computing and Mathematics, Charles Sturt University, Albury Campus, Australia)

  • Ferdausur Rahman

    (Department of Accounting, Military Institute of Science and Technology, Dhaka, Bangladesh)

Abstract

Business intelligence (BI) institutionalization has become a growing research area within the information systems (IS) discipline because of the decision-making iteration in businesses. Studies on BI application in improving decision support are not new. However, research on BI institutionalization seems sparse. BI institutionalization may positively contribute to a managerial role in using BI application repetitively for the decision-making iteration in businesses. This article aims to carry out an integrative literature review and report consolidated views of the body of knowledge. The study adopted a qualitative content analysis to generate themes about BI routinization in the decision-making iteration. Eighty-eight research articles were selected for the study. However, 57 articles were finally included for review. The findings suggest information management capability as the key necessity for BI application and its alignment with the organizational standard for BI institutionalization.

Suggested Citation

  • Shaheb Ali & Rafiqul Islam & Ferdausur Rahman, 2019. "Institutionalization of Business Intelligence for the Decision-Making Iteration," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 15(1), pages 101-118, January.
    • Handle: RePEc:igg:jiit00:v:15:y:2019:i:1:p:101-118
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