Critical Success Factors of Business Intelligence Systems Implementation

Authors

Randy A. Williams, Department of Technology Management, College of Engineering, Business and Education, University of Bridgeport, Bridgeport, CT, USA
Nasir J. Sheikh, Portland State UniversityFollow
Gazi Murat Duman, Department of Economics & Business Analytics, University of New Haven, Orange, CT, USA
Elif Kongar, SCHOOL OF ENGINEERING, Fairfield University, Fairfield, CT, USA

Published In

IEEE Engineering Management Review

Document Type

Citation

Publication Date

8-14-2022

Abstract

Business intelligence (BI) systems enable rapid decision-making in an era of big data and constantly evolving market dynamics. Yet, the majority of BI implementation efforts fail to deliver productive outcomes. We use a technical, organizational, and process (TOP) perspective to identify significant criteria that contribute to successful implementation. A taxonomy of perspectives, criteria, and factors is introduced. This work provides insights into developing a decision model to support successful BI implementation.

Rights

© Copyright 2022 IEEE - All rights reserved.

Locate the Document

https://doi.org/10.1109/EMR.2022.3197096

DOI

10.1109/EMR.2022.3197096

Persistent Identifier

https://archives.pdx.edu/ds/psu/38373

Publisher

IEEE

Citation Details

Williams, R. A., Sheikh, N. J., Duman, G. M., & Kongar, E. (2022). Critical Success Factors of Business Intelligence Systems Implementation. IEEE Engineering Management Review.