Journal of Engineering, Project, and Production Management, 2026, 16(7), 2026-0058
Business Intelligence Capabilities and Workforce Agility in Emerging Banking Systems: A Cross Sectional Study of Jordan and Malaysia with Moderation and Sensitivity Analysis
Lecturer, Department of Computer Information Systems, King Abdullah II School for Information Technology, University of Jordan, Amman 11942 Jordan, E-mail: mk5918183@gmail.com
Project Management
Received May 20, 2026; revised June 5, 2026; accepted June 29, 2026
Available online July 12, 2026
Abstract: This study examines how three Business Intelligence (BI), data mining speed, simulation usage, and analytics usage, relate to workforce agility in the banking sectors of Jordan and Malaysia. Using a cross-sectional survey of 412 employees and Partial Least Squares Structural Equation Modeling (PLS-SEM) with bootstrapping (5,000 resamples), the study tests direct associations, cross-country differences, bank type moderation, and sensitivity to unmeasured confounding (E-value). Results show that all BI dimensions are positively associated with workforce agility, with analytics usage exerting the strongest effect (β = 0.46), followed by simulation usage (β = 0.31) and data mining speed (β = 0.24). The model explains 69% of the variance in workforce agility. Multi-group analysis indicates no significant differences between Jordan and Malaysia, and bank type (commercial vs. Islamic) does not moderate the relationships. The E-value (2.43) suggests moderate robustness to unmeasured confounding. The findings indicate that analytical and simulation capabilities are more strongly linked to workforce agility than data speed alone, supporting Data Driven Decision-Making (DDDM) theory over Information Systems Success perspectives. The study provides comparative evidence from underrepresented, emerging banking contexts and highlights the importance of BI capability differentiation in explaining employee agility, while acknowledging the correlational nature of the evidence and the limitations of self-reported data.
Keywords: Business intelligence; workforce agility; analytics usage; data mining speed; simulation usage; banking sector; cross sectional study; Jordan; Malaysia.
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Citation: Obeidat, M. K. (2026). Business Intelligence Capabilities and Workforce Agility in Emerging Banking Systems: A Cross Sectional Study of Jordan and Malaysia with Moderation and Sensitivity Analysis. Journal of Engineering, Project, and Production Management, 16(7), 2026-0058.
