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Growing Science » International Journal of Data and Network Science » E-learning's influence on organizational excellence in UAE universities: Exploring the moderat-ing role of demographic variables

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International Journal of Data and Network Science

ISSN 2561-8156 (Online) - ISSN 2561-8148 (Print)
Quarterly Publication
Volume 8 Issue 1 pp. 609-616 , 2024

E-learning's influence on organizational excellence in UAE universities: Exploring the moderat-ing role of demographic variables Pages 609-616 Right click to download the paper Download PDF

Authors: Hisham O. Mbaidin

DOI: 10.5267/j.ijdns.2023.8.024

Keywords: E-learning, Organizational Excellence, UAE universities, Innovation

Abstract: This study employs a quantitative approach to investigate the relationship between E-learning and Organizational Excellence in UAE universities. The study focuses on 250 senior and middle administrators from public universities selected through a convenience sampling method. The advanced statistical tools SPSS and AMOS were used to analyze the research data through Structural Equation Modeling (SEM). The findings reveal the impact of e-learning dimensions–Technical Knowledge and Management Willingness—on Organizational Excellence. Additionally, the study delves into moderation effects, revealing that Gender, Age, Educational Level, and Experience play pivotal roles in influencing perceptions of e-learning among senior and middle administrators at UAE public universities. This research contributes to the understanding of how e-learning impacts Organizational Excellence within the UAE university landscape while also highlighting the crucial moderating roles of demographic variables. These findings offer valuable insights for educational institutions aiming to optimize e-learning strategies and enhance organizational performance.

How to cite this paper
Mbaidin, H. (2024). E-learning's influence on organizational excellence in UAE universities: Exploring the moderat-ing role of demographic variables.International Journal of Data and Network Science, 8(1), 609-616.

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Journal: International Journal of Data and Network Science | Year: 2024 | Volume: 8 | Issue: 1 | Views: 2215 | Reviews: 0

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