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The Impact of Business Intelligence on Improving Administrative Performance in Some Private Jordanian Universities in the Northern Region

Mohammad Adel Alsaggar () and Mohammmadnour Mosbah Aljarrah ()

International Journal of Social Sciences and English Literature, 2025, vol. 9, issue 3, 13-20

Abstract: This study aimed to clarify the impact of business intelligence applications on improving the performance of administrators working in private Jordanian universities located in the northern region. The study relied on the descriptive analytical approach, using the questionnaire tool to reach the study objectives, in addition to relying on previous theoretical literature and prior studies. The study found a statistically significant effect at the significance level (0.05 ≥ α) for business intelligence applications with their combined dimensions (data warehouse, data mining, direct analytical processing, information review techniques) on improving the performance of administrators in Jordanian private universities in the northern region (rejecting the first main null hypothesis). Additionally, each of the data warehouse, data mining, direct analytical processing, and information review techniques individually has a statistically significant effect at the significance level (0.05 ≥ α) on the performance of administrators in Jordanian private universities in the northern region (rejecting the four sub-null hypotheses). The study recommended the necessity of attracting senior management in Jordanian private universities in the northern region to individuals with skills in using business intelligence, and developing the capabilities of their employees by holding training workshops or through job rotation, as well as making periodic improvements to business intelligence systems. Furthermore, Jordanian private universities should benefit from the experiences of other local, governmental, and international universities in the field of applying business intelligence, which positively reflects on achieving their goals and developing their services efficiently and effectively.

Keywords: Business Intelligence; Data Mining; Direct Analytical Processing; Data Warehouse; Information Visualization Techniques; Managerial Performance; Private Universities in the Northern Region. (search for similar items in EconPapers)
Date: 2025
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