Mohammad Mahmoud Saleem Alzubi

Business intelligence (BI) systems are crucial to hospitals, as they enable organizations to make informed decisions through data analysis and enhance operational efficiency. BI adoption experiences barriers in Jordanian hospitals as a result of both organization-specific needs and technological limitations of their environments. This study assessed BI adoption by surveying employees at different departments in Jordanian hospitals. From January to May 2024, a total of 350 surveys were distributed, resulting in 312 valid responses collected through online and paper-based methods. The analysis involved participants from various departments, including administrative staff, clinical personnel, and IT department professionals, to gain a comprehensive understanding of BI readiness throughout the organization. The results demonstrate that technological compatibility and environmental factors are critical for successful BI adoption (p < 0.05), yet findings show organizational readiness has no direct effect (p > 0.05). Top management support has a positive effect on BI adoption, and user satisfaction serves as a critical moderating variable, positively influencing the relationship between these elements (p < 0.05). Business intelligence systems require dedicated leadership focus, along with proper technological infrastructure and active user engagement, for successful deployment. The study offers practical recommendations for hospital executives and policymakers with strategies to deploy BI using leadership initiatives plus technological integration and worker development. The establishment of digital healthcare advancement programs stands as a goal that government authorities must achieve. Furthermore, the establishment of national digital healthcare advancement programs and the expansion of cross-institutional data collection are essential in different settings.

The study examines decisive elements affecting Business Intelligence (BI) acceptance within e-banking operations in Jordan by analyzing how IT infrastructure, data analytics competency, cybersecurity preparedness, and regulatory alignment impact the process. A series of questions were asked to 374 staff members from IT departments and compliance teams, as well as data analysis divisions representing Islamic and commercial banks in Amman, Jordan. The research period spanned from March to July 2024, while SEM was the analysis method. The study found that IT infrastructure (β = 0.38, p < 0.001) and data analytics capability (β = 0.45, p < 0.001), along with cybersecurity (β = 0.41, p < 0.001), positively influence BI adoption. The impact of regulatory compliance failed to reach statistical significance with a coefficient of 0.22 (p = 0.07). The success of BI implementation in Jordanian banks relies mainly on technology hardware capabilities, together with internal company resources, yet strict regulations pose obstacles unless they support a bank’s mission. The business solutions identified through this research will help banking leaders and software developers, together with government officials, to improve data-driven decision systems in Jordan’s financial market.

Type of the article: Research Article

Abstract
The study aims to evaluate the impact of organizational support, customer awareness, perceived security, and regulatory compliance on e-commerce adoption within the insurance sector of Jordan. A structured questionnaire was administered to 400 participants from executive management, IT, customer service, and compliance departments who worked in ten Amman-based insurance companies. Believing that a quantitative research design matched the analysis requirements, 372 valid responses were gathered and analyzed through structural equation modeling (SEM) operated by AMOS 24. Organizational support, along with customer awareness, was found to have strong effects on adoption behavior because perceived security functions as the primary determining factor. The research results indicated that regulatory compliance failed to have a direct effect on adoption behavior. The study validated construct reliability and validity through confirmatory factor analysis (CFA) since all Cronbach’s alpha values surpassed 0.80 and the composite reliability and average variance extracted measurements fell within acceptable ranges. The study model demonstrated an acceptable fit, as indicated by RMSEA (0.045), CFI (0.942), TLI (0.930), and χ²/df (2.18). Digital transformation in insurance requires organizational programs that provide team-based customer education while maintaining robust privacy measures.