The Factors That Affect Electronic Learning Students' Behavioural Intentions In The Higher Education Tourism And Hospitality Disciplines

Introduction: This study aims to explore the factors influencing the intention of hospitality and tourism students in the UAE to adopt e-learning using the Technology Acceptance Model (TAM). E-learning has become an essential tool in higher education, particularly in response to the COVID-19 pandemic. The research seeks to identify the key determinants that affect students' willingness to engage with e-learning platforms.Methods: A cross-sectional survey was conducted in two phases, involving 278 undergraduate students from a UAE university. The survey assessed various TAM constructs such as perceived usefulness, ease of use, system characteristics, and hedonic motivation. Data were analyzed using SmartPLS software and Structural Equation Modeling (SEM) to test the relationships between the variables.Results: The study found that perceived usefulness and ease of use were the most significant factors influencing students' intention to adopt e-learning. Other influential factors included e-learning resources, platform functionality, subjective norms, and e-learning support. Additionally, hedonic motivation played an important role in enhancing students' engagement with e-learning.Conclusions: The findings suggest that higher education institutions should focus on improving the perceived usefulness and ease of use of e-learning platforms while ensuring robust system functionality and support. The study contributes to the understanding of technology adoption in non-technical fields, offering insights that can inform e-learning strategies, especially in the context of future pandemics or disruptions.

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Publication Details

Journal
Data & Metadata
Published
2025-02-10
DOI
https://doi.org/10.56294/dm2025691
Citations
9
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
37.52
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article

The Factors That Affect Electronic Learning Students' Behavioural Intentions In The Higher Education Tourism And Hospitality Disciplines

Salim M Khanfar, Amer Hani Al-Qassem, Ashraf Mohammad Alfandi, Ammar Mohammad Al-Ramadan et al.
9 citations
Data & Metadata
Technology Adoption and User Behaviour
37.52
article

The Factors That Affect Electronic Learning Students' Behavioural Intentions In The Higher Education Tourism And Hospitality Disciplines

Salim M Khanfar, Amer Hani Al-Qassem, Ashraf Mohammad Alfandi, Ammar Mohammad Al-Ramadan, Mohammed Al Matalka, Hazim Ryad Momani, Mohammad Alzoubi, Zaid Akram AL-Malahmeh
article en
9 citations

Abstract

Introduction: This study aims to explore the factors influencing the intention of hospitality and tourism students in the UAE to adopt e-learning using the Technology Acceptance Model (TAM). E-learning has become an essential tool in higher education, particularly in response to the COVID-19 pandemic. The research seeks to identify the key determinants that affect students' willingness to engage with e-learning platforms.Methods: A cross-sectional survey was conducted in two phases, involving 278 undergraduate students from a UAE university. The survey assessed various TAM constructs such as perceived usefulness, ease of use, system characteristics, and hedonic motivation. Data were analyzed using SmartPLS software and Structural Equation Modeling (SEM) to test the relationships between the variables.Results: The study found that perceived usefulness and ease of use were the most significant factors influencing students' intention to adopt e-learning. Other influential factors included e-learning resources, platform functionality, subjective norms, and e-learning support. Additionally, hedonic motivation played an important role in enhancing students' engagement with e-learning.Conclusions: The findings suggest that higher education institutions should focus on improving the perceived usefulness and ease of use of e-learning platforms while ensuring robust system functionality and support. The study contributes to the understanding of technology adoption in non-technical fields, offering insights that can inform e-learning strategies, especially in the context of future pandemics or disruptions.

Data & MetadataVol. 4
Al-Ahliyya Amman University (JO), Jordan Hospital (JO), Birla Institute of Technology and Science, Pilani - Dubai Campus (AE), Zayed University (AE), Irbid National University (JO)
Openalex Percentile: Top 0%
Technology Adoption and User Behaviour
37.52
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