All Outputs (46)

Exploring Gamification Research Trends Using Topic Modeling (2023)
Journal Article
Ayaz, A., Ozyurt, O., Al-Rahmi, W. M., Salloum, S., Shutaleva, A., Alblehai, F., & Habes, M. (2023). Exploring Gamification Research Trends Using Topic Modeling. IEEE Access, https://doi.org/10.1109/access.2023.3326444

Gamification holds significant importance as an efficacious means to motivate individuals, stimulate their engagement, and foster desired behaviors. There is an increasing interest among researchers in exploring the domain of gamification. Consequent... Read More about Exploring Gamification Research Trends Using Topic Modeling.

Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study (2023)
Journal Article
Salloum, S. A., Bettayeb, A., Salloum, A., Aburayya, A., Khadragy, S., Hamoudi, R., & Alfaisal, R. (in press). Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study. Informatics in Medicine Unlocked, 42, 101354. https://doi.org/10.1016/j.imu.2023.101354

The outbreak of the COVID-19 pandemic led to disruptions in the delivery of medical training across borders, posing challenges in observing and practicing advanced surgical techniques with cutting-edge medical equipment from foreign countries. Howeve... Read More about Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study.

Gender as a moderating variable in online misinformation acceptance during COVID-19. (2023)
Journal Article
Mansoori, A., Tahat, K., Tahat, D., Habes, M., Salloum, S. A., Mesbah, H., & Elareshi, M. (in press). Gender as a moderating variable in online misinformation acceptance during COVID-19. Heliyon, 9(9), e19425. https://doi.org/10.1016/j.heliyon.2023.e19425

Misinformation remained a critical consideration during the COVID-19 that further cultivated fears leading to strong unrest among the public globally. This study clarifies certain misconceptions related to the pandemic by investigating whether factor... Read More about Gender as a moderating variable in online misinformation acceptance during COVID-19..

A New English/Arabic Parallel Corpus for Phishing Emails (2023)
Journal Article
Salloum, S., Gaber, T., Vadera, S., & Shaalan, K. (in press). A New English/Arabic Parallel Corpus for Phishing Emails. #Journal not on list, https://doi.org/10.1145/3606031

Phishing involves malicious activity whereby phishers, in the disguise of legitimate entities, obtain illegitimate access to the victims’ personal and private information, usually through emails. Currently, phishing attacks and threats are being hand... Read More about A New English/Arabic Parallel Corpus for Phishing Emails.

Social media paradox: Utilizing social media technology for creating better value for better social outcomes: Case of developing countries (2023)
Journal Article
Sarwar, B., Sarwar, A., Mugahed Al-Rahmi, W., Almogren, A. S., Salloum, S., & Habes, M. (2023). Social media paradox: Utilizing social media technology for creating better value for better social outcomes: Case of developing countries. Cogent Business and Management, 10(2), https://doi.org/10.1080/23311975.2023.2210888

This study presents a research framework based on the underlying richness of social media capacity (usefulness) at the individual level of youngsters regarding their contribution to building social capital and civic engagement, which significantly le... Read More about Social media paradox: Utilizing social media technology for creating better value for better social outcomes: Case of developing countries.

Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Hajjej, F., Thabit, S., El-Qirem, F., …Al-Maroof, R. (2022). Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level. Electronics, 11(22), https://doi.org/10.3390/electronics11223662

The learning environment usually raises various types of anxiety based on the student’s abilities to use technology and their abilities to overcome the negative feelings of an individual being watched all the time and criticized. Hence, learners stil... Read More about Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level.

Measuring institutions’ adoption of artificial intelligence applications in online learning environments: integrating the innovation diffusion theory with technology adoption rate (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Hajjej, F., Shishakly, R., Lutfi, A., …Al-Maroof, R. (2022). Measuring institutions’ adoption of artificial intelligence applications in online learning environments: integrating the innovation diffusion theory with technology adoption rate. Electronics, 11(20), https://doi.org/10.3390/electronics11203291

Artificial intelligence applications (AIA) increase innovative interaction, allowing for a more interactive environment in governmental institutions. Artificial intelligence is user-friendly and embraces an effective number of features among the diff... Read More about Measuring institutions’ adoption of artificial intelligence applications in online learning environments: integrating the innovation diffusion theory with technology adoption rate.

Integrating teachers’ TPACK levels and students’ learning motivation, technology innovativeness, and optimism in an IoT acceptance model (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Al-Otaibi, S., Shishakly, R., Lutfi, A., …Al-Maroof, R. (2022). Integrating teachers’ TPACK levels and students’ learning motivation, technology innovativeness, and optimism in an IoT acceptance model. Electronics, 11(19), https://doi.org/10.3390/electronics11193197

The growing use of the Internet of Things (IoT) around the world has encouraged researchers to investigate how and why the IoT is implemented in colleges and universities. Previous studies have focused on individual attitudes rather than the integrat... Read More about Integrating teachers’ TPACK levels and students’ learning motivation, technology innovativeness, and optimism in an IoT acceptance model.

Determinants influencing the continuous intention to use digital technologies in Higher Education (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Al-Otaibi, S., Al Sawafi, O., Al-Maroof, R., …Awad, A. (2022). Determinants influencing the continuous intention to use digital technologies in Higher Education. Electronics, 11(18),

There is increasing evidence that the lack of access to digital information and technologies is not widely considered in the educational sectors when focusing on the perceived experience, tutor quality and students’ satisfaction. In this paper, we re... Read More about Determinants influencing the continuous intention to use digital technologies in Higher Education.

Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach (2022)
Journal Article
Almarzouqi, A., Aburayya, A., & Salloum, S. (2022). Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach. PLoS ONE, 17(8), e0272735. https://doi.org/10.1371/journal.pone.0272735

An Electronic Medical Record (EMR) has the capability of promoting knowledge and awareness regarding healthcare in both healthcare providers and patients to enhance interconnectivity within various government bodies, and quality healthcare services.... Read More about Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach.

A systematic literature review on phishing email detection using natural language processing techniques (2022)
Journal Article
Salloum, S., Gaber, T., Vadera, S., & Shaalan, K. (2022). A systematic literature review on phishing email detection using natural language processing techniques. IEEE Access, 10, 65703-65727. https://doi.org/10.1109/access.2022.3183083

Phishing is the most prevalent method of cybercrime that convinces people to provide sensitive information; for instance, account IDs, passwords, and bank details. Emails, instant messages, and phone calls are widely used to launch such cyber-attacks... Read More about A systematic literature review on phishing email detection using natural language processing techniques.

A novel RBFNN-CNN model for speaker identification in stressful talking environments (2022)
Journal Article
Nassif, A., Alnazzawi, N., Shahin, I., Salloum, S., Hindawi, N., Lataifeh, M., & Elnagar, A. (2022). A novel RBFNN-CNN model for speaker identification in stressful talking environments. Applied Sciences, 12(10), https://doi.org/10.3390/app12104841

Speaker identification systems perform almost ideally in neutral talking environments. However, these systems perform poorly in stressful talking environments. In this paper, we present an effective approach for enhancing the performance of speaker i... Read More about A novel RBFNN-CNN model for speaker identification in stressful talking environments.

SEM-ANN-based approach to understanding students' academic-performance adoption of YouTube for learning during Covid. (2022)
Journal Article
Elareshi, M., Habes, M., Youssef, E., Salloum, S., Alfaisal, R., & Ziani, A. (2022). SEM-ANN-based approach to understanding students' academic-performance adoption of YouTube for learning during Covid. Heliyon, 8(4), e09236. https://doi.org/10.1016/j.heliyon.2022.e09236

A hybrid analysis of Structural Equation Modeling (SEM) and Artificial Neural Network (ANN), through SmartPLS and SPSS software, as well as the importance-performance map analysis (IPMA) were used to examine the impact of YouTube videos content on Jo... Read More about SEM-ANN-based approach to understanding students' academic-performance adoption of YouTube for learning during Covid..

Prediction of the intention to use a smartwatch : a comparative approach using machine learning and partial least squares structural equation modeling (2022)
Journal Article
Elnagar, A., Alnazzawi, N., Afyouni, I., Shahin, I., Bou Nassif, A., & Salloum, S. (2022). Prediction of the intention to use a smartwatch : a comparative approach using machine learning and partial least squares structural equation modeling. Informatics in Medicine Unlocked, 29, 100913. https://doi.org/10.1016/j.imu.2022.100913

This study makes use of a cohesive yet innovative research model to identify the determinants of the adoption of smart watches using constructs from the Technology Acceptance Model (TAM) and constructs of smartwatches, including effectiveness, conten... Read More about Prediction of the intention to use a smartwatch : a comparative approach using machine learning and partial least squares structural equation modeling.

A conceptual framework for determining metaverse adoption in higher institutions of gulf area : an empirical study using hybrid SEM-ANN approach (2022)
Journal Article
Akour, I., Al-Maroof, R., Alfaisal, R., & Salloum, S. (2022). 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, 3, 100052. https://doi.org/10.1016/j.caeai.2022.100052

The metaverse is a kind of imagined world with immersive digital spaces that increase, allowing a more interactive environment in educational settings. The metaverse is an expansion of the synchronous communication that embraces an effective number o... Read More about A conceptual framework for determining metaverse adoption in higher institutions of gulf area : an empirical study using hybrid SEM-ANN approach.

Determinants of intention to use medical smartwatch-based dual-stage SEM-ANN analysis (2022)
Journal Article
Almarzouqi, A., Aburayya, A., & Salloum, S. (2022). Determinants of intention to use medical smartwatch-based dual-stage SEM-ANN analysis. Informatics in Medicine Unlocked, 28, 100859. https://doi.org/10.1016/j.imu.2022.100859

The current study is based on an integrated research model developed by combining constructs from the Technology Acceptance Model (TAM) and other features affecting smartwatch effectiveness, such as content richness and user satisfaction (SAT). TAM i... Read More about Determinants of intention to use medical smartwatch-based dual-stage SEM-ANN analysis.

Impact of knowledge management on organizational performance (2021)
Journal Article
Bayari, R., Al Shamsi, A., Salloum, S., & Shaalan, K. (2022). Impact of knowledge management on organizational performance. Lecture notes in networks and systems (Online), 2, 1035-1046. https://doi.org/10.1007/978-3-030-85990-9_82

This paper aims to explore the relationship between knowledge management (KM) and organizational performance (OP). Systematic literature review was conducted to look at different practices for KM in different sectors and locations to build a good bac... Read More about Impact of knowledge management on organizational performance.

Analyzing tweet data to identify the impact of demonetarization (2021)
Journal Article
Unnithan, K., Salloum, S., & Shaalan, K. (2022). Analyzing tweet data to identify the impact of demonetarization. Lecture notes in networks and systems (Online), 2, 75-81. https://doi.org/10.1007/978-3-030-85990-9_7

In this century, we have witnessed tremendous growth in the application of technology in our day-to-day life. One such life influencing factor is social media. In a manner or other, each individual’s life is influenced by social media. Individuals an... Read More about Analyzing tweet data to identify the impact of demonetarization.

Implementing a talent management system in a group of companies - a case study from UAE (2021)
Journal Article
Alsharhan, A., Salloum, S., & Shaalan, K. (2022). Implementing a talent management system in a group of companies - a case study from UAE. Lecture notes in networks and systems (Online), 2, 795-805. https://doi.org/10.1007/978-3-030-85990-9_62

This case study aims to examine the status quo of an information system in the context of talent management (TM), in a leading group of companies that is under the ports and industrial lands sector in the United Arab Emirates. This study identified t... Read More about Implementing a talent management system in a group of companies - a case study from UAE.

Use of multi agent knowledge management system in technology service providers (2021)
Journal Article
Bazarghan, F., Salloum, S., & Shaalan, K. (2022). Use of multi agent knowledge management system in technology service providers. Lecture notes in networks and systems (Online), 2, 1019-1033. https://doi.org/10.1007/978-3-030-85990-9_81

The objective of this paper is to propose the use of a multi agent approach as a knowledge management system in a technology service provider (TSP) environment. The TSP shall ensure that the services provided are reliable and trustworthy to sustain i... Read More about Use of multi agent knowledge management system in technology service providers.