Omar Hujran

Dr. Omar Hujran

Analytics in the Digital Era, United Arab Emirates University, Al Ain, United Arab Emirates
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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2015 in Computers in Human Behavior
Verified
Journal Article
Closed access
OHOmar Hujran
Omar Hujran
MAMutaz M. Al-Debei
Mutaz M. Al-Debei
ACAkemi Chatfield
Akemi Chatfield
MMMahmoud Migdadi
Mahmoud Migdadi

23 August 2021 in Sustainability
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Journal Article
Open access
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Ahmad Samed Al-AdwanAhmad Samed Al-Adwan
Ahmad Samed Al-Adwan
NANour Albelbisi
Nour Albelbisi
OHOmar Hujran
Omar Hujran
Waleed Mugahed Al-RahmiWaleed Mugahed Al-Rahmi
Waleed Mugahed Al-Rahmi
AAAli Alkhalifah
Ali Alkhalifah
In higher education learning, e-learning systems have become renowned tools worldwide. The evident importance of e-learning in higher education has resulted in a prenominal increase in the number of e-learning systems delivering various forms of services, especially when traditional education (face-to-face) was suddenly forced to move online due to the COVID-19 outbreak. Accordingly, assessing e-learning systems is pivotal in the interest of effective use and successful implementation. By relying on the related literature review, an extensive model is developed by integrating the information system success model (ISSM) and the technology acceptance model (TAM) to illustrate key factors that influence the success of e-learning systems. Based on the proposed model, theory-based hypotheses are tested through structural equation modeling employing empirical data gathered through a survey questionnaire of 537 students from three private universities in Jordan. The findings demonstrate that quality factors, including instructor, technical system, support service, educational systems, and course content quality, have a direct positive influence on students’ satisfaction, perceived usefulness, and system use. Moreover, self-regulated learning negatively affects students’ satisfaction, perceived usefulness, and system use. Students’ satisfaction, perceived usefulness, and system use are key predictors of their academic performance. These findings provide e-learning stakeholders with important implications that guarantee the effective, successful use of e-learning that positively affects students’ learning.

25 October 2021 in Information Development
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Journal Article
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OHOmar Hujran
Omar Hujran
AAAyman Alarabiat
Ayman Alarabiat
Ahmad Samed Al-AdwanAhmad Samed Al-Adwan
Ahmad Samed Al-Adwan
MAMutaz Al-Debei
Mutaz Al-Debei
Smart government aims to provide intelligent and agile personalized public services to government stakeholders. Over the past few years, governments seek to employ innovative technologies, such as blockchain, analytics, artificial intelligence (AI), Internet of Things (IoT), cloud computing, robotics process automation, and machine learning (ML), to improve citizens’ experiences and quality of life as well as government decision-making processes. They also aim to increase the efficiency of business processes and to transform the delivery of public services. However, the extant e-government literature lacks an inclusive digital government maturity model that can be used as a unified reference for guiding public organizations through the journey to smart government. Accordingly, the main aim of this paper is to develop a smart government maturity model by extending and revising the extant literature related to e-government. The developed model is then used to empirically evaluate the smart government initiative in the United Arab Emirates (UAE). We applied the model on 41 UAE federal governments’ websites/portals and measured their maturity level using 73 indicators. The findings indicate that the UAE is quite advanced with regard to smart government, as the majority of governmental entities scored “High” and above on the use of innovative and disruptive technologies in various domains. The smart government maturity model proved its efficacy and value in evaluating the UAE's smart government initiative.

1 July 2018 in International Journal of E-Business Research
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Journal Article
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OHOmar Hujran
Omar Hujran
EAEnas M. Al-Lozi
Enas M. Al-Lozi
MAMutaz M. Al-Debei
Mutaz M. Al-Debei
MMMahmoud Maqableh
Mahmoud Maqableh
Cloud computing can be classified as a third-generation computing platform which refers to on-demand delivery of computing infrastructure and services via a network, usually the Internet. Cloud computing promises to provide several advantages to its adopters such as: cost advantage, availability, scalability, flexibility, reduced time to market and dynamic access to computational resources. Notwithstanding the numerous advantages of cloud computing, its implementation and adoption in developing countries is still limited and surrounded by variety of issues. Hence, the main objective of this article is to identify the main challenges facing the utilization of these services in developing countries, particularly Jordan. To achieve the above-mentioned objective, six in-depth interviews with ICT officials and experts in the domain of cloud computing were used as the main data collection method. The challenges of cloud computing adoption emerged in this study are classified into technological, organizational and environmental factors.

1 July 2009 in Information Technology for Development
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Journal Article
Closed access
ACAkemi Takeoka Chatfield
Akemi Takeoka Chatfield
OHOmar Hujran
Omar Hujran
Much of the existing e-government research focuses on developed countries. Although a relatively small number of studies explored Arab e-government development, they did so in a single country context. This article provides an insight into the current state of Arab e-government developments. A cross-country comparative analysis of e-government Web sites and portals was conducted on 16 Arab countries to assess their development stages in e-government service delivery capability. Further comparative analysis was performed between the top Arab e-governments and the global top e-governments in developed countries with regard to “e-democracy,” often the highest level e-government service delivery capability identified in the literature. The results confirm a wide digital divide that remains between the Arab countries and the leading developed countries. Importantly, however, the results also show a wide digital divide even among the Arab countries studied, particularly in the development of advanced e-governme...

1 April 2013 in International Journal of Technology and Human Interaction
Verified
Journal Article
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OHOmar Hujran
Omar Hujran
AAAnas Aloudat
Anas Aloudat
IAIkhlas Altarawneh
Ikhlas Altarawneh
The main purposes of this study are to investigate citizen adoption of e-government services in Jordan and to explore factors affecting the level of adoption of e-government services. Importantly, this study aims to develop a conceptual framework that is based on previous literature of Technology Acceptance Model (TAM) in order to examine the relationships between certain factors (government trustworthiness, service quality and citizen satisfaction) and citizen adoption of e-government services. A self-administered questionnaire was used to capture data from 356 Jordanian citizens across the country randomly. The findings indicate that perceived usefulness, perceived ease of use, citizen satisfaction and trustworthiness are significant predictors of the Jordanian intention to use an e-government service. The results also showed that the service quality dimensions: responsiveness, reliability, and empathy have significant impacts on the citizen satisfaction. The study has made significant contributions to the body of knowledge at academic and practical levels as an important exploratory study that was conducted in the context of Jordan, a developing country with genuine need for more research works on e-government issues. In addition, this study provides some valuable insights into the performance and adoption of e-government in Jordan that could help government agencies to improve the effectiveness of their services.