S
Said A. Salloum
Researcher at University of Salford
Publications - 173
Citations - 5255
Said A. Salloum is an academic researcher from University of Salford. The author has contributed to research in topics: Technology acceptance model & Computer science. The author has an hindex of 31, co-authored 138 publications receiving 2318 citations. Previous affiliations of Said A. Salloum include University of Sharjah & British University in Dubai.
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Journal ArticleDOI
Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model
Said A. Salloum,Ahmad Qasim Mohammad AlHamad,Mostafa Al-Emran,Azza Abdel Monem,Khaled Shaalan +4 more
TL;DR: The TAM has been extended by the aforementioned factors to examine the students’ acceptance of e-learning in five different universities in the United Arab of Emirates (UAE), and it indicated that system quality, computer self-efficacy, and computer playfulness have a significant impact on perceived ease of use of E-learning system.
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Factors affecting the E-learning acceptance: A case study from UAE
TL;DR: Innovativeness and trust were found not to significantly affect the E-learning system acceptance, and knowledge sharing and quality in the universities have a positive influence on E- learning acceptance among the students.
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A survey of text mining in social media: Facebook and Twitter perspectives
TL;DR: This survey focused on analyzing the text mining studies related to Facebook and Twitter; the two dominant social media in the world, to describe how studies in social media have used text analytics and text mining techniques for the purpose of identifying the key themes in the data.
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An Empirical Examination of Continuous Intention to Use M-Learning: An Integrated Model.
TL;DR: An integrated model through the integration of three different theoretical models is developed, namely technology acceptance model (TAM), theory of planned behavior (TPB), and expectation-confirmation model (ECM), indicating that perceived ease of use, attitude, perceived behavioral control, and subjective norms are significant predictors to explain the continued use of m-learning.
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Fear from covid-19 and technology adoption: The impact of google meet during coronavirus pandemic
TL;DR: In this article, the effect of fear emotion on students' and teachers' technology adoption during the COVID-19 pandemic was explored and the study has made use of Google Meet© as an educational social platf...