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Article
The Acceptance of Social Media Sites: An Empirical Study Using PLS-SEM and ML Approaches
Advances in Intelligent Systems and Computing
  • Sawsan Al-Skaf, Zayed University
  • Enaam Youssef, Ajman University
  • Mohammed Habes, Yarmouk University
  • Khadija Alhumaid, Zayed University
  • Said A. Salloum, University of Salford
Document Type
Conference Proceeding
Publication Date
1-1-2021
Abstract

The study conducted aims to form a conceptual model to calculate the pupils’ acceptance of social media in education and its factors. The study is carried out by extending the Technology Acceptance Model (TAM) using social influence factors. Alongside this, the collected data is evaluated through Machine learning approaches and the partial least squares-structural equation modeling (PLS-SEM). A total of 350 students enrolled at highly regarded universities in the United Arab Emirates (UAE) filled out questionnaire surveys, then analyzed, and results are stated. This research suggests that students’ intention to adopt social media networks in learning is significant social influence, perceived usefulness, and ease of use.

ISBN
9783030697167
Publisher
Springer International Publishing
Disciplines
Keywords
  • Machine learning,
  • PLS-SEM,
  • Social influence,
  • Social media,
  • Technology acceptance model
Scopus ID
85103458260
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1007/978-3-030-69717-4_52
Citation Information
Sawsan Al-Skaf, Enaam Youssef, Mohammed Habes, Khadija Alhumaid, et al.. "The Acceptance of Social Media Sites: An Empirical Study Using PLS-SEM and ML Approaches" Advances in Intelligent Systems and Computing Vol. 1339 (2021) p. 548 - 558 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/2194-5357" target="_blank">2194-5357</a>
Available at: http://works.bepress.com/khadija-alhumaid/5/