Examining Factors Determining the Behavioral Intention to Use Mobile Learning Systems in Higher Education: An Integrative Framework during the COVID-19 Pandemic
Source of Publication
Journal of Educators Online
This paper explores mobile learning (m-learning) acceptance and use through integrating UTAUT and IS success models to examine whether quality factors (including “Information Quality,” “System Quality” and “Service Quality”) and behavioral factors (including “Performance Expectancy,” “Social Influence” and “Facilitating Conditions”) predict students’ satisfaction and their intention to use m-learning systems. Data were collected through surveys from a total of 383 higher education male and female students in the United Arab Emirates (UAE). Structural equation modelling and path analysis were employed to test the proposed research model, showing that “Information Quality,” “System Quality,” “Service Quality,” “Performance Expectancy,” “Social Influence,” “Facilitating Conditions,” and “Satisfaction” determined students’ intentions to use m-learning. “Satisfaction” was the most important antecedent of user behavior with m-learning, and “Performance Expectancy” was found to have the highest effect on “Satisfaction.” The study’s contribution to the advancement of m-learning acceptance and usage is connected to the theory and practice.
Grand Canyon University
IS (Information System) success, mobile learning, quality factors, satisfaction, UAE, UTAUT
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Shaya, Nessrin; Baroudi, Sandra; and Mohebi, Laila, "Examining Factors Determining the Behavioral Intention to Use Mobile Learning Systems in Higher Education: An Integrative Framework during the COVID-19 Pandemic" (2023). All Works. 5659.
Indexed in Scopus
Open Access Type
Gold: This publication is openly available in an open access journal/series