Predicting the intention to use social media sites : a hybrid SEM - machine learning approach

Salloum, SA; AlAhbabi, NMN; Habes, M; Aburayya, A; Akour, I

doi:10.1007/978-3-030-69717-4_32

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.

Qualitative study in Natural Language Processing : text classification (2021)
Journal Article
Wahdan, A., Salloum, S., & Shaalan, K. (2022). Qualitative study in Natural Language Processing : text classification. Lecture notes in networks and systems (Online), 2, 83-92. https://doi.org/10.1007/978-3-030-85990-9_8

Recently Natural Language Processing (NLP) has excessive attention due to increased data available online. Although there is huge development in Arabic NLP, but still it is behind English NLP. The aim of this study is to examine the most useful quali... Read More about Qualitative study in Natural Language Processing : text classification.

The effectiveness of online platforms after the pandemic : will face-to-face classes affect students’ perception of their Behavioural Intention (BIU) to use online platforms? (2021)
Journal Article
Al-Maroof, R., Alnazzawi, N., Akour, I., Ayoubi, K., Alhumaid, K., AlAhbabi, N., …Salloum, S. (2021). The effectiveness of online platforms after the pandemic : will face-to-face classes affect students’ perception of their Behavioural Intention (BIU) to use online platforms?. Informatics, 8(4), e83. https://doi.org/10.3390/informatics8040083

The purpose of this study is to investigate students’ intention to continue using online learning platforms during face-to-face traditional classes in a way that is parallel to their usage during online virtual classes (during the pandemic). This inv... Read More about The effectiveness of online platforms after the pandemic : will face-to-face classes affect students’ perception of their Behavioural Intention (BIU) to use online platforms?.

Students’ perception towards behavioral intention of audio and video teaching styles : an acceptance study (2021)
Journal Article
Al-Maroof, R., AlAhbabi, N., Akour, I., Alhumaid, K., Ayoubi, K., Alnnaimi, M., …Salloum, S. (2022). Students’ perception towards behavioral intention of audio and video teaching styles : an acceptance study. International journal of data and network science (Online), 6(2), 603-618. https://doi.org/10.5267/j.ijdns.2021.11.004

Recently audio and video material has been used significantly in various online platforms. The audio-video materials enhance the teaching and learning process by facilitating the transformation of the data and providing a richer interactive environm... Read More about Students’ perception towards behavioral intention of audio and video teaching styles : an acceptance study.

Phishing website detection from URLs using classical machine learning ANN model (2021)
Journal Article
Salloum, S., Gaber, T., Vadera, S., & Shaalan, K. (2021). Phishing website detection from URLs using classical machine learning ANN model. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (Internet), 2, 509-523. https://doi.org/10.1007/978-3-030-90022-9_28

Phishing is a serious form of online fraud made up of spoofed websites that attempt to gain users’ sensitive information by tricking them into believing that they are visiting a legitimate site. Phishing attacks can be detected many ways, including a... Read More about Phishing website detection from URLs using classical machine learning ANN model.

Technology acceptance drivers for AR smart glasses in the middle east : a quantitative study (2021)
Journal Article
Alsharhan, A., Salloum, S., & Aburayya, A. (2022). Technology acceptance drivers for AR smart glasses in the middle east : a quantitative study. International journal of data and network science (Online), 6(1), 193-208. https://doi.org/10.5267/J.IJDNS.2021.9.008

This study aims to establish Middle East users' perspectives on the major factors that impact their decision to adopt Augmented Reality AR smart glasses (ARSG). Thus, an online questionnaire was designed and sent directly to the respondents, and 58... Read More about Technology acceptance drivers for AR smart glasses in the middle east : a quantitative study.

Acceptance determinants of 5G services (2021)
Journal Article
Al-Maroof, R., Akour, I., Aljanada, R., Alfaisal, A., Alfaisal, R., Aburayya, A., & Salloum, S. (in press). Acceptance determinants of 5G services. International journal of data and network science (Online), 5(4), 613-628. https://doi.org/10.5267/j.ijdns.2021.8.006

5G is a revolutionary development in network technologies which is gradually becoming very common among people contributing significantly in different fields such as education, industry, agriculture, health, tourism and military. Currently, 5G is an... Read More about Acceptance determinants of 5G services.

Feasibility of using attention mechanism in abstractive summarization (2021)
Journal Article
AlMazrouei, R., Nelci, J., Salloum, S., & Shaalan, K. (2022). Feasibility of using attention mechanism in abstractive summarization. Lecture notes in networks and systems (Online), 299, 13-20. https://doi.org/10.1007/978-3-030-82616-1_2

The Prevalence of information and its magnitude mandates a short description of the core of a document, an article, or legal documents. Abstractive summarization helps to concur with this problem utilizing the evolutions in machine learning and deep... Read More about Feasibility of using attention mechanism in abstractive summarization.

An overview of sentiment analysis with dialectical processing (2021)
Journal Article
Nelci, J., Salloum, S., & Shaalan, K. (2022). An overview of sentiment analysis with dialectical processing. Lecture notes in networks and systems (Online), 1, 3-12. https://doi.org/10.1007/978-3-030-82616-1_1

Sentiment analysis (SA) is one of the most emerging field of study in natural language processing (NLP) domain that primarily focuses on the opinion extortion of people’s lingual and penned articulation. Considerable number of studies about sentiment... Read More about An overview of sentiment analysis with dialectical processing.

Text and web content mining : a systematic review (2021)
Journal Article
Almatrooshi, F., Alhammadi, S., Salloum, S., & Shaalan, K. (2022). Text and web content mining : a systematic review. Lecture notes in networks and systems (Online), 1, 79-87. https://doi.org/10.1007/978-3-030-82616-1_8

Text and content mining are the subcategory of data mining. This category of data mining is used to extract the information from web or web pages of a website. This mining identifies useful information from web content like web pages, search logs, an... Read More about Text and web content mining : a systematic review.

Examining the factors influencing the mobile learning usage during COVID-19 pandemic : an integrated SEM-ANN method (2021)
Journal Article
Alhumaid, K., Habes, M., & Salloum, S. (2021). Examining the factors influencing the mobile learning usage during COVID-19 pandemic : an integrated SEM-ANN method. IEEE Access, 9, 102567-102578. https://doi.org/10.1109/ACCESS.2021.3097753

The way in which the emotion of fear affects the technology adoption of students and teachers amid the COVID-19 pandemic is examined in this study. Mobile Learning (ML) has been used in the study as an educational social platform at both public and p... Read More about Examining the factors influencing the mobile learning usage during COVID-19 pandemic : an integrated SEM-ANN method.

Phishing email detection using Natural Language Processing techniques : a literature survey (2021)
Journal Article
Salloum, S., Gaber, T., Vadera, S., & Shaalan, K. (2021). Phishing email detection using Natural Language Processing techniques : a literature survey. Procedia Computer Science, 189, 19-28. https://doi.org/10.1016/j.procs.2021.05.077

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 Phishing email detection using Natural Language Processing techniques : a literature survey.

User acceptance of smart watch for medical purposes : an empirical study (2021)
Journal Article
Al-Maroof, R., Alhumaid, K., Alhamad, A., Aburayya, A., & Salloum, S. (2021). User acceptance of smart watch for medical purposes : an empirical study. Future Internet, 13(5), e127. https://doi.org/10.3390/fi13050127

This study aims to investigate the most effective and interesting variables that urge use of the smartwatch (SW) in a medical environment. To achieve this aim, the study was framed using an innovative and integrated research model, which is based on... Read More about User acceptance of smart watch for medical purposes : an empirical study.

Factors that affect e-learning platforms after the spread of COVID-19 : post acceptance study (2021)
Journal Article
Al-Maroof, R., Alhumaid, K., Akour, I., & Salloum, S. (2021). Factors that affect e-learning platforms after the spread of COVID-19 : post acceptance study. Data, 6(5), e49. https://doi.org/10.3390/data6050049

The fear of vaccines has led to population rejection due to various reasons. Students have had their own inquiries towards the effectiveness of the vaccination, which leads to vaccination hesitancy. Vaccination hesitancy can affect students’ percepti... Read More about Factors that affect e-learning platforms after the spread of COVID-19 : post acceptance study.

Factors affecting the use of smart mobile examination platforms by universities’ postgraduate students during the COVID 19 pandemic : an empirical study (2021)
Journal Article
Alshurideh, M., Kurdi, B., AlHamad, A., Salloum, S., Alkurdi, S., Dehghan, A., …Masa’deh, R. (2021). Factors affecting the use of smart mobile examination platforms by universities’ postgraduate students during the COVID 19 pandemic : an empirical study. Informatics, 8(2), e32. https://doi.org/10.3390/informatics8020032

Recent years have seen an increasingly widespread use of online learning technologies. This has prompted universities to make huge investments in technology to augment their position in the face of extensive competition and to enhance their students’... Read More about Factors affecting the use of smart mobile examination platforms by universities’ postgraduate students during the COVID 19 pandemic : an empirical study.

Acceptance of Google Meet during the spread of Coronavirus by Arab university students (2021)
Journal Article
Al-Maroof, R., Alshurideh, M., Salloum, S., AlHamad, A., & Gaber, T. (2021). Acceptance of Google Meet during the spread of Coronavirus by Arab university students. Informatics, 8(2), e24. https://doi.org/10.3390/informatics8020024

The COVID-19 pandemic not only affected our health and medical systems but also has created large disruption of education systems at school and universities levels. According to the United Nation’s report, COVID-19 has influenced more than 1.6 billio... Read More about Acceptance of Google Meet during the spread of Coronavirus by Arab university students.

The acceptance of social media sites : an empirical study using PLS-SEM and ML approaches (2021)
Journal Article
Al-Skaf, S., Youssef, E., Habes, M., Alhumaid, K., & Salloum, S. The acceptance of social media sites : an empirical study using PLS-SEM and ML approaches. Advances in Intelligent Systems and Computing, 548-558. https://doi.org/10.1007/978-3-030-69717-4_52

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. Alongsid... Read More about The acceptance of social media sites : an empirical study using PLS-SEM and ML approaches.

The effects of subjective norm on the intention to use social media networks : an exploratory study using PLS-SEM and machine learning approach (2021)
Journal Article
Al Kurdi, B., Alshurideh, M., Nuseir, M., Aburayya, A., & Salloum, S. The effects of subjective norm on the intention to use social media networks : an exploratory study using PLS-SEM and machine learning approach. Advances in Intelligent Systems and Computing, 581-592. https://doi.org/10.1007/978-3-030-69717-4_55

Several research has been conducted on social media application's acceptance, but factors that impact educational purposes are completely ignored in this research. Therefore, the research has been conducted with the purpose of developing a conceptual... Read More about The effects of subjective norm on the intention to use social media networks : an exploratory study using PLS-SEM and machine learning approach.

Smart vision of school classroom (2021)
Journal Article
Hantoobi, S., Wahdan, A., Salloum, S., & Shaalan, K. Smart vision of school classroom. Advances in Intelligent Systems and Computing, 525-537. https://doi.org/10.1007/978-3-030-69717-4_50

Modern technology has become an integral part of our daily lives. Every day generates the need for new technologies so that we can coexist and integrate into contemporary life. Virtual reality (VR) is becoming imperative in some life areas, such as m... Read More about Smart vision of school classroom.

Predicting the intention to use social media sites : a hybrid SEM - machine learning approach (2021)
Journal Article
Salloum, S., AlAhbabi, N., Habes, M., Aburayya, A., & Akour, I. Predicting the intention to use social media sites : a hybrid SEM - machine learning approach. Advances in Intelligent Systems and Computing, 324-334. https://doi.org/10.1007/978-3-030-69717-4_32

The study conducted aims to form a conceptual model to calculate the pupils’ acceptance of social media in education and its factors. Although the amount of research done on the acceptance of social media applications has amplified, the factors affec... Read More about Predicting the intention to use social media sites : a hybrid SEM - machine learning approach.

All Outputs (46)