Factors influencing Jordanian banking industry intention to adopt business intelligence technology

• Main Author: Salameh Aldarab`Ah, Khaled Abidallah
• Format: Thesis
• Language: English; English
• Published: 2025
• Subjects: H Social Sciences; HF Commerce
• Online Access: http://eprints.utem.edu.my/id/eprint/29464/

Business Intelligence (BI) has gained significant prominence among executives for supporting data-driven decision-making, yet its adoption in the banking sector, particularly in Jordan, remains underexplored. This study investigates the technological, organizational, and environmental factors influencing BI adoption intention in Jordanian commercial banks using an integrated framework. A quantitative, cross-sectional design was employed through a structured questionnaire administered to IT professionals and senior and mid-level managers, yielding 382 valid responses. Partial Least Squares Structural Equation Modeling (PLS-SEM) showed strong explanatory power, with R² values of 0.496 for perceived ease of use (PEOU), 0.729 for perceived usefulness (PU), and 0.799 for BI adoption intention. Compatibility, complexity, relative advantage, top management support, organization size, and PEOU significantly affected PU, while organizational readiness did not. Compatibility, complexity, and relative advantage also influenced PEOU. Furthermore, PU, PEOU, competitive pressure, government regulation, and vendor support emerged as significant predictors of BI adoption intention. Most effects were positive, except for complexity, which was negative. Mediation analysis confirmed that PU and PEOU mediated most relationships, except the path from organizational readiness to BI adoption intention. This research is among the earliest empirical studies in Jordan to integrate TAM and TOE in BI adoption, contributing theoretically and practically. The findings provide insights for bank executives and policymakers to guide strategic planning and foster BI adoption.