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Issue title: Digital challenges to empower universities’ implication in the community
Guest editors: Anca Draghici, Angela Repanovici and Poh Kiat Ng
Article type: Research Article
Authors: Gharaibeh, Malik Khlaif; *
Affiliations: Management Information Systems, Ajloun National University, Ajloun, Jordan
Correspondence: [*] Corresponding author: Malik Khlaif Gharaibeh, Management Information Systems, Ajloun National University, Ajloun, Jordan. E-mail: malik.gharaibeh@anu.edu.jo.
Abstract: BACKGROUND:As a result of the Covid-19 pandemic, educational institutions have shifted to electronic education at the global level, after face-to-face education was common in most countries of the world. From this aspect, assessing students’ satisfaction with the platforms used in e-learning is very important. In this study, students’ satisfaction with Microsoft Teams was measured, as it is one of the most important programs used in the educational process in various educational institutions. OBJECTIVE:This study uses five variables from the UTAUT2 model namely; performance expectancy, effort expectancy, facilitating conditions, social influence, price value, as well as two new variables which include student satisfaction, and flexibility to study the learning satisfaction with Microsoft Teams. METHODS:520 questionnaires were distributed to Yarmouk and Ajloun National Universities students to collect the required data, and the data was analyzed using Smart PLS. RESULTS:The results showed that performance expectancy, effort expectancy, social influence, price value, facilitating conditions, student confidence, and flexibility are important indicators of satisfaction with Microsoft Teams. CONCLUSIONS:This study adds to the body of knowledge by building a conceptual model capable of effectively predicting student satisfaction with the Microsoft Teams platform. It concluded that the expected benefit from using Microsoft Teams will increase student satisfaction.
Keywords: Microsoft teams, UTAUT2, ministry of higher education and scientific research, performance expectancy, effort expectancy
DOI: 10.3233/HSM-220032
Journal: Human Systems Management, vol. 42, no. 2, pp. 121-130, 2023
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