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An Application and Extension of the UTAUT Model Factors Influencing Behavioral Intention to Utilize Mobile Learning in UAE Higher Education

  • American University in the Emirates
  • British University in Dubai
  • Zayed University, Abu Dhabi Campus

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

This study developed and empirically tested a theoretical model to predict the factors affecting students’ acceptance and behavioral intentions toward using mobile learning (m-learning) in United Arab Emirates (UAE). The present study explored the behavioral intention to use m-learning from the angle of consumers by applying the extended Unified Theory of Acceptance and Use of Technology (UTAUT) model with the addition of service quality, perceived enjoyment and mobile self-efficacy and satisfaction. M-learning user data was derived from an online survey with 395 respondents and analyzed using structural equation modeling (SEM) and path analysis. The results revealed that (1) behavioral intention was significantly and positively influenced by satisfaction; (2) performance expectancy and effort expectancy were positively associated with satisfaction; and (3) perceived enjoy-ment, service quality and mobile self-efficacy had a significantly positive effect on performance expectancy and effort expectancy. SEM analysis showed that satisfaction was cen-tral to users’ behavioral intentions and mediated the effects of performance and effort expectancy on behavioral intentions. Findings correspond with the UTAUT model. A number of implications for theory and practice are derived based on the findings.

Original languageEnglish
Pages (from-to)153-180
Number of pages28
JournalJournal of Interactive Learning Research
Volume34
Issue number1
StatePublished - 2023
Externally publishedYes

Keywords

  • Structural Equation Modelling
  • UAE
  • UTAUT
  • behavioral intentions
  • higher education
  • m-Learning
  • satisfaction

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