A Longitudinal Study on the Role of Business Intelligence Systems in Enhancing Operational Efficiency and Cost Reduction in the Manufacturing Industry
Keywords:
Business Intelligence (BI), manufacturing, operational efficiency, cost reduction, data analytics, longitudinal study, industrial performance, digital transformationAbstract
In the rapidly evolving landscape of the manufacturing industry, Business Intelligence (BI) systems have emerged as crucial tools for decision-making, resource optimization, and strategic cost control. This longitudinal study explores the role of BI systems in improving operational efficiency and reducing costs across manufacturing firms over a five-year period (2018–2022). Drawing from both qualitative interviews and quantitative data collected across multiple production environments, the study investigates how sustained BI adoption influences core KPIs related to productivity, downtime, and financial performance. The findings highlight a positive correlation between BI integration and efficiency gains, particularly when systems are customized to production workflows. This paper provides a comprehensive analysis of BI's transformational impact and identifies critical success factors for BI implementation in industrial contexts.
References
Chen, Hsinchun, Roger H. L. Chiang, and Veda C. Storey. "Business Intelligence and Analytics: From Big Data to Big Impact." MIS Quarterly, vol. 36, no. 4, 2012, pp. 1165–1188.
Isik, Öykü, Mary C. Jones, and Anna Sidorova. "Business Intelligence Success: The Roles of BI Capabilities and Decision Environments." Information & Management, vol. 50, no. 1, 2013, pp. 13–23.
Popovič, Aleš, Richard Hackney, Pedro S. Coelho, and Jurij Jaklič. "Toward Business Intelligence Systems Success: Effects of Maturity and Culture on Analytical Decision Making." Decision Support Systems, vol. 54, no. 1, 2012, pp. 729–739.
Ranjan, Jayanthi. "Business Intelligence: Concepts, Components, Techniques and Benefits." Journal of Theoretical and Applied Information Technology, vol. 9, no. 1, 2009, pp. 60–70.
Trieu, Van-Hau. "Getting Value from Business Intelligence Systems: A Review and Research Agenda." Decision Support Systems, vol. 93, 2017, pp. 111–124.
Watson, Hugh J., and Barbara H. Wixom. "The Current State of Business Intelligence." Computer, vol. 40, no. 9, 2007, pp. 96–99.
Wixom, Barbara H., and Hugh J. Watson. "The BI-Based Organization." International Journal of Business Intelligence Research, vol. 1, no. 1, 2010, pp. 13–28.
Elbashir, Mohamed Z., Philip A. Collier, and Sally Davern. "Measuring the Effects of Business Intelligence Systems: The Relationship between Business Process and Organizational Performance." International Journal of Accounting Information Systems, vol. 9, no. 3, 2008, pp. 135–153.
Jourdan, Zbigniew, Ramesh Sharda, and David J. Baker. "Business Intelligence: An Analysis of the Literature." Information Systems Management, vol. 25, no. 2, 2008, pp. 121–131.
Moss, Larry T., and Shaku Atre. Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications. Addison-Wesley, 2003
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Claire Dubois (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
