Said A. Salloum

Research interests

Publications

• Sustainability Model for the Continuous Intention to Use Metaverse Technology in Higher Education: A Case Study from Oman

  Sustainability · 2023 · 10.3390/su15065257

• A Conceptual Model for Investigating the Effect of Privacy Concerns on E-Commerce Adoption: A Study on United Arab Emirates Consumers

  Electronics · 2022 · 10.3390/electronics11223648

• Prediction of User’s Intention to Use Metaverse System in Medical Education: A Hybrid SEM-ML Learning Approach

  IEEE Access · 2022 · https://doi.org/10.1109/access.2022.3169285

• A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques

  IEEE Access · 2022 · 10.1109/access.2022.3183083

• Examining the Impact of Artificial Intelligence and Social and Computer Anxiety in E-Learning Settings: Students’ Perceptions at the University Level

  Electronics · 2022 · 10.3390/electronics11223662

• Measuring Institutions’ Adoption of Artificial Intelligence Applications in Online Learning Environments: Integrating the Innovation Diffusion Theory with Technology Adoption Rate

  Electronics · 2022 · 10.3390/electronics11203291

• A conceptual framework for determining metaverse adoption in higher institutions of gulf area: An empirical study using hybrid SEM-ANN approach

  Computers and Education Artificial Intelligence · 2022 · https://doi.org/10.1016/j.caeai.2022.100052

• The moderation effect of gender on accepting electronic payment technology: a study on United Arab Emirates consumers

  Review of International Business and Strategy · 2021 · 10.1108/ribs-08-2020-0102

• The acceptance of social media video for knowledge acquisition, sharing and application: A com-parative study among YouTube users and TikTok Users’ for medical purposes

  International Journal of Data and Network Science · 2021 · 10.5267/j.ijdns.2021.6.013

• Using Machine Learning Algorithms to Predict People’s Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach

  JMIR Medical Education · 2021 · https://doi.org/10.2196/24032

• Phishing Email Detection Using Natural Language Processing Techniques: A Literature Survey

  Procedia Computer Science · 2021 · 10.1016/j.procs.2021.05.077

• Investigating a theoretical framework for e-learning technology acceptance

  International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 2020 · https://doi.org/10.11591/ijece.v10i6.pp6484-6496

• An Empirical Investigation into Examination of Factors Influencing University Students’ Behavior towards Elearning Acceptance Using SEM Approach

  International Journal of Interactive Mobile Technologies (iJIM) · 2020 · 10.3991/ijim.v14i02.11115

• Machine Learning and Deep Learning Techniques for Cybersecurity: A Review

  Advances in intelligent systems and computing · 2020 · 10.1007/978-3-030-44289-7_5

• Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic

  Interactive Learning Environments · 2020 · https://doi.org/10.1080/10494820.2020.1830121

• An empirical examination of continuous intention to use m-learning: An integrated model

  Education and Information Technologies · 2020 · https://doi.org/10.1007/s10639-019-10094-2

• Mining in Educational Data: Review and Future Directions

  Advances in intelligent systems and computing · 2020 · 10.1007/978-3-030-44289-7_9

• Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms

  Interactive Learning Environments · 2020 · https://doi.org/10.1080/10494820.2020.1826982

• Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model

  IEEE Access · 2019 · https://doi.org/10.1109/access.2019.2939467

• Factors affecting the Social Networks Acceptance

  · 2019 · 10.1145/3316615.3316720

• Understanding the Quality Determinants that Influence the Intention to Use the Mobile Learning Platforms: A Practical Study

  International Journal of Interactive Mobile Technologies (iJIM) · 2019 · 10.3991/ijim.v13i11.10300

• Factors Affecting Students’ Acceptance of E-Learning System in Higher Education Using UTAUT and Structural Equation Modeling Approaches

  Advances in intelligent systems and computing · 2018 · 10.1007/978-3-319-99010-1_43

• Factors affecting the E-learning acceptance: A case study from UAE

  Education and Information Technologies · 2018 · 10.1007/s10639-018-9786-3

• A Survey of Text Mining in Social Media: Facebook and Twitter Perspectives

  Advances in Science Technology and Engineering Systems Journal · 2017 · 10.25046/aj020115

• Using Text Mining Techniques for Extracting Information from Research Articles

  Studies in computational intelligence · 2017 · 10.1007/978-3-319-67056-0_18

Current projects

No projects listed.