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Growing Science » International Journal of Data and Network Science » Utilizing e-learning and user loyalty with user satisfaction as mediating variable in public sector context

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International Journal of Data and Network Science

ISSN 2561-8156 (Online) - ISSN 2561-8148 (Print)
Quarterly Publication
Volume 7 Issue 3 pp. 1341-1348 , 2023

Utilizing e-learning and user loyalty with user satisfaction as mediating variable in public sector context Pages 1341-1348 Right click to download the paper Download PDF

Authors: Neneng Sri Rahayu, Muhammad Hasan Dhiaullah, Alvita Marsha

DOI: 10.5267/j.ijdns.2023.4.004

Keywords: E-learning, User satisfaction, Service quality, Perceived value, Loyalty

Abstract: The advent of information technology has caused people to consider how they can make effective and efficient decisions in various activities. The implementation of information technology systems is expected to be advantageous in facilitating these activities because such systems can provide decision-making support and contribute to the success of endeavors in areas such as business, economic, social politics, and education. One common tool used in learning systems is e-learning applications. This research aims to analyze the effect of e-learning on user loyalty with user satisfaction. This research, conducted in Jakarta, is explanatory in nature, targeting individuals who have utilized e-learning applications in their activities, particularly in the field of public sector activities, with a sample size of 163 public sector employees. Data was collected through online questionnaires, and hypothesis testing was conducted through the PLS-SEM method. The results indicate that service quality and perceived value have positive impacts on user satisfaction, which in turn, positively influences user loyalty.

How to cite this paper
Rahayu, N., Dhiaullah, M & Marsha, A. (2023). Utilizing e-learning and user loyalty with user satisfaction as mediating variable in public sector context.International Journal of Data and Network Science, 7(3), 1341-1348.

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Journal: International Journal of Data and Network Science | Year: 2023 | Volume: 7 | Issue: 3 | Views: 1857 | Reviews: 0

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