Browsing by Author "A. Salloum, Said"

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    A SYSTEMATIC REVIEW OF CRYPTDB: IMPLEMENTATION, CHALLENGES, AND FUTURE OPPORTUNITIES
    (Journal of Management Information and Decision Sciences, 2021) Yousuf, Hana; A. Salloum, Said; Aburayya, Ahmad; Al-Emran, Mostafa; Shaalan, Khaled
    In the case of compromised databases or interested database managers, CryptDB has been built for validated and realistic protection. CryptDB operates through encrypted data while executing SQL queries. The key concept of the SQL-aware encryption technique is to map SQL operations to encryption methods, adjustable query-driven encryption which facilitates CryptDB to modify the encryption level of data depending on user queries and to alter the data through layered encryption levels in an efficient manner. The systematic literature review in this paper shows that there is ongoing research regarding the implementation of CryptDB in new applications such as cloud computing and management information systems. Experiments are being conducted to improve the encryption schemes and layers to avoid data leakage when CryptDB is applied in dynamic applications. Further, there are studies on alternative query-processing systems to improve the performance and throughput. However, CryptDB is found to be the only practical approach to process the queries for encrypted data.
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    An Innovative Study of E-Payment Systems Adoption in Higher Education: Theoretical Constructs and Empirical Analysis
    (International Journal of Interactive Mobile Technologies, 2019) A. Salloum, Said; Al-Emran, Mostafa; Khalaf, Rifat; Habes, Mohammed; Shaalan, Khaled
    Examining the adoption of e-payment systems is not a new research topic. Nevertheless, studying the factors affecting the adoption of epayment systems in higher educational institutions is a new research trend. Thus, this study is considered one of the few that attempts to investigate the fac tors affecting the e-payment systems adoption in six different universities in the United Arab of Emirates (UAE). A total number of 289 students took part in the study. This study proposed a new research model in which the students’ intention to use the e-payment systems are affected by five different factors including perceived benefit, performance expectancy, perceived risk, perceived security/privacy, and trust. The partial least squares-structural equation modeling (PLS-SEM) approach was used to validate the research model. The empirical results suggested that perceived benefit and performance expectancy have a significant positive relationship with the students’ intention to use e-payment systems, whereas perceived security/privacy and perceived risk exhibited a significant negative relationship. However, the results triggered out that trust has an insignificant relationship with the students’ intention to use e-payment systems. The results acquired from this research provide a fresh and an up-to-date information on the e-payment systems adoption in the higher educational institutions.
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    Factors affecting the E-learning acceptance: A case study from UAE
    (E-learning . Technology acceptance . Knowledge sharing . Technology innovativeness. System quality. Trust, 2018) A. Salloum, Said; Al-Emran, Mostafa; Shaalan, Khaled; Tarhini, Ali
    The main objective of this article is to study the factors that affect university students’ acceptance of E-learning systems. To achieve this objective, we have proposed a new model that aims to investigate the impact of innovativeness, quality, trust, and knowledge sharing on E-learning acceptance. Data collection has taken place through an online questionnaire survey, which was carried out at The British University in Dubai (BUiD) and University of Fujairah (UOF) in the UAE. There were 251 students participated in this study. Data were analyzed using SmartPLS and SPSS. The Structural Equation Modelling (SEM) has been used to validate the proposed model. The outcomes revealed that knowledge sharing and quality in the universities have a positive influence on E-learning acceptance among the students. Innovativeness and trust were found not to significantly affect the E-learning system acceptance. By identifying the factors that influence the E-learning acceptance, it will be more useful to provide better services for E-learning. Other implications are also presented in the study.
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    Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic
    (Taylor and Francis Journals, 2020) Saeed Al-Maroof, Rana; A. Salloum, Said; Ella Hassanien, Aboul; Shaalan, Khaled
    ABSTRACT This study seeks to explore the effect of fear emotion on students’ and teachers’ technology adoption during COVID-19 pandemic. The study has made use of Google Meet© as an educational social platform in private higher education institutes. The data obtained from the study were analyzed by using the partial least squares structural equation modeling (PLS-SEM) and machine learning algorithms. The main hypotheses of this study are related to the effect of COVID-19 on the adoption of Google Meet as COVID-19 rise s various types of fear. During the Coronavirus pandemic, fear due to family lockdown situation, fear of education failure and fear of losing social relationships are the most common types of threat that may face students and teachers/educators. These types of fears are connected with two important factors within TAM theory, which are: perceived ease of use (PEOU) and perceived usefulness (PU), and with another external factor of TAM, which is subjective norm (SN). The results revealed that both data analysis techniques have successfully provided support to all the hypothesized relationships of the research model. More interesting, the J48 classifier has performed better than the other classifiers in predicting the dependent variable in most cases.
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    Suspicious Activity Detection of Twitter and Facebook using Sentimental Analysis
    (TEM journal, 2020) Al Mansoori , Saeed; Almansoori, Afrah; Alshamsi, Mohammed; A. Salloum, Said; Shaalan, Khaled
    The purpose of this study is to evaluate the criminal behavior on the social media platforms and to classify the gathered data effectively as negative, positive, or neutral in order to identify a suspect. In this study, data was collected from two platforms, Twitter and Facebook, resulting in the creation of two datasets. The following findings have been pointed out from this study: Initially, VADER twitter sentimental analysis showed that out of 5000 tweets 50.8% people shared a neutral opinion, 39.2% shared negative opinion and only 9.9% showed positive opinion. Secondly, on Facebook, the majority of people showed a neutral response which is 55.6%, 38.9% shared positive response and only 5.6% shared negative opinion. Thirdly, the score of sentiments and engagement in every post affects the intensities of sentiments.
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    The effect of social media usage on students’ e learning acceptance in higher education: A case study from the United Arab Emirates
    (E-learning; technology acceptance model; social media; motivation; knowledge sharing; YouTube; Twitter; Facebook., 2019) Alghizzawi, Mahmoud; Habes, Mohammed; A. Salloum, Said; =Abd. Ghani, Mazuri; =Mhamdi, Chaker; Shaalan, Khaled
    This study investigates the influence of student social media usage on the acceptance of e learning platforms at the British University in Dubai. A modified Technology Acceptance Model was developed and validated for the quantitative study, which comprised data collected from 410 graduate and postgraduate students via an electronic questionnaire. The findings showed that knowledge sharing, social media features and motivation to use social media systems, including Facebook YouTube and Twitter, positively affected the perceived usefulness and perceived ease-of-use of e learning platforms, which, in turn, led to increased e-learning platform acceptance by students. The research model can be adapted to similar studies to assist in further research regarding how higher education institutions in the UAE can maximize the benefits and uptake of e-learning platforms.
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    The role of knowledge management in virtual learning environments: a systematic review
    (Inderscience Enterprises Ltd., 2021) Wahdan, Ahlam; Hantoobi , Sendeyah; A. Salloum, Said; Shaalan, Khaled
    The main objective of this systematic review is to analyse the up-to-date knowledge management in virtual learning environments studies. In that, 94 research articles ranged between 2005 and 2020 were critically analysed. Subsequently, the researchers integrated the findings to display the output with one result. Various countries hosted the studies; however, China, Iran, and European countries were among the pioneers. Besides highlighting the e-learning, the role of knowledge management processes (KMPs) in virtual learning environments (VLEs) was emphasised by the systematic review. Moreover, it described the successful integration of KM in LMS within the VLE. It also realised the benefits of this integration on e-learning elements: the instructors, the learners, and the organisation. Moreover, knowledge creation is found to be the most adopted KMP in LMS. The findings revealed that the KM significantly contributed to e-learning to create a different and distinct education method leading to a Renaissance in the modern age.
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    Understanding the Quality Determinants that Influence the Intention to Use the Mobile Learning Platforms: A Practical Study
    (Elsevier, 2019) Alshurideh, Muhammad; A. Salloum, Said; Al Kurdi, Barween; Abdel Monem, Azza; Shaalan, Khaled
    There is a widespread use of Internet technology in the present times, because of which universities are making investments in Mobile learning to augment their position in the face of extensive competition and also to en hance their students’ learning experience and efficiency. Nonetheless, Mobile Learning Platform are only going to be successful when students show ac ceptance and adoption of this technology. Our literature review indicates that very few studies have been carried out to show how university students accept and employ Mobile Learning Platform. In addition, it is asserted that behavioral models of technology acceptance are not equally applied in different cultures. The purpose of this study is to develop an extension of Technology Acceptance Model (TAM) by including four more constructs: namely, content quality, service quality, information quality and quality of the system. This is proposed to make it more relevant for the developing countries, like the United Arab Emirates (UAE). An online survey was carried out to obtain the data. A total of 221 students from the UAE took part in this survey. Structural equation modeling was used to determine and test the measurement and structural model. Data analysis was carried out, which showed that ten out of a total of 12 hypotheses are supported. This shows that there is support for the applicability of the extended TAM in the UAE. These outcomes suggest that Mobile Learning Platform should be considered by the policymakers and education developers as being not only a technological solution but also as being new e-learning platform especially for distance learning students.