Mohammed A. Al-Sharafi
@utm.my
Universiti Teknologi Malaysia
Mohammed A. Al-Sharafi is currently working at the Department of Information Systems, Universiti Teknologi Malaysia. He obtained his Ph.D degree in Information Systems from the Faculty of Computing, Universiti Malaysia Pahang. He has MSc degree in Management Information System from Yarmouk University, Jordan. He has over 50 publications published in different journals, conferences, and book chapters. Most of his publications were indexed under the ISI Web of Science and Scopus. He is currently interested in research related to the acceptance, adoption, and diffusion of emerging technologies (e.g., cloud computing, Blockchain, OSNs, Big data, and IoT), and Quantitative Methods in Information Systems research.
RESEARCH INTERESTS
Mohammed A. Al-Sharafi is currently working at the Department of Information Systems, Universiti Teknologi Malaysia. He obtained his Ph.D degree in Information Systems from the Faculty of Computing, Universiti Malaysia Pahang. He has MSc degree in Management Information System from Yarmouk Universit
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Safwan Maghaydah, Mostafa Al-Emran, Piyush Maheshwari, and Mohammed A. Al-Sharafi
Elsevier BV
Eiman Almheiri, Mostafa Al-Emran, Mohammed A. Al-Sharafi, and Ibrahim Arpaci
Emerald
PurposeThe proliferation of smartwatches in the digital age has radically transformed health and fitness management, offering users a multitude of functionalities that extend beyond mere physical activity tracking. While these modern wearables have empowered users with real-time data and personalized health insights, their environmental implications remain relatively unexplored despite a growing emphasis on sustainability. To bridge this gap, this study extends the UTAUT2 model with smartwatch features (mobility and availability) and perceived security to understand the drivers of smartwatch usage and its consequent impact on environmental sustainability.Design/methodology/approachThe proposed theoretical model is evaluated based on data collected from 303 smartwatch users using a hybrid structural equation modeling–artificial neural network (SEM-ANN) approach.FindingsThe PLS-SEM results supported smartwatch features’ effect on performance and effort expectancy. The results also supported the role of performance expectancy, social influence, price value, habit and perceived security in smartwatch usage. The use of smartwatches was found to influence environmental sustainability significantly. However, the results did not support the association between effort expectancy, facilitating conditions and hedonic motivation with smartwatch use. The ANN results further complement these outcomes by showing that habit with a normalized importance of 100% is the most significant factor influencing smartwatch use.Originality/valueTheoretically, this research broadens the UTAUT2 by introducing smartwatch features as external variables and environmental sustainability as a new outcome of technology use. On a practical level, the study offers insights for various stakeholders interested in smartwatch use and their environmental implications.
Mostafa Al-Emran, Adi Ahmad AlQudah, Ghazanfar Ali Abbasi, Mohammed A. Al-Sharafi, and Mohammad Iranmanesh
Institute of Electrical and Electronics Engineers (IEEE)
While adopting chatbots powered by artificial intelligence could enhance knowledge sharing, it also causes challenges due to the “dark side” of these agents. However, research on the factors influencing chatbots for knowledge sharing is lacking. To bridge this gap, we developed the integrated chatbot acceptance-avoidance model, which looks at the positive and negative determinants of using chatbots for knowledge sharing. Through a comprehensive questionnaire survey of 447 students, the research model is evaluated using the partial least squares-structural equation modeling (PLS-SEM), a symmetric approach, and fuzzy set qualitative comparative analysis (fsQCA) as an asymmetric approach. The PLS-SEM results supported the positive role of performance expectancy, effort expectancy, and habit and the negative role of perceived threats in affecting chatbot use for knowledge sharing. Although PLS-SEM results revealed that social influence, facilitating conditions, and hedonic motivation have no impact on chatbot use, the fsQCA analysis revealed that all factors might play a role in shaping the use of chatbots. In addition to the theoretical contributions, the findings provide several managerial implications for universities, instructors, and chatbot developers to help them make insightful decisions and promote the use of chatbots.
Mohammed AlShamsi, Mostafa Al-Emran, Tugrul Daim, Mohammed A Al-Sharafi, Gulin Bolatan, and Khaled Shaalan
Institute of Electrical and Electronics Engineers (IEEE)
Musheer A. Aljaberi, Mohammed A. Al-Sharafi, Md. Uzir Hossain Uzir, Aiche Sabah, Amira Mohammed Ali, Kuo-Hsin Lee, Abdulsamad Alsalahi, Sarah Noman, and Chung-Ying Lin
MDPI AG
The COVID-19 pandemic, on a global scale, has prompted multifaceted challenges, including a notable psychological toll on the general population. This study uses mixed-method approach for a nuanced exploration of these experiences. Using a phenomenological strategy, qualitative responses from 999 participants were analyzed regarding their pandemic-induced anxiety and the influence of quarantine measures on their lives. Quantitative measures, including the revised Impact of Event Scale (IES-R), patient health questionnaire-9 (PHQ-9), the seven-item generalized anxiety disorder assessment (GAD-7), and Insomnia Severity Index (ISI), were used to quantify trauma, depression, anxiety, and insomnia attributed to COVID-19. Partial least squares structural equation modeling (PLS-SEM) was utilized for quantitative data analysis. The anxiety-related responses were mainly clustered into four themes: life threats, support shortage, economic consequences, and disruptions to family and social life. Subthemes that addressed the perceived effects encapsulated disruptions to academic and professional lives, familial and social relationships, psychopathological stress, and movement limitations. The findings from quantitative analysis revealed the significant associations between COVID-19-related trauma and symptoms of anxiety, depression, and insomnia, as indicated by coefficients exceeding 0.10 (all z-values > 1.96; p-values < 0.05). In conclusion, the findings underscore COVID-19’s role in escalating anxiety, influenced by various factors, and its disruptive effects on daily life due to quarantine measures. The strong associations between the pandemic and the symptoms of depression, anxiety, and insomnia underscore the urgency of comprehensive psychological and public health interventions to alleviate these impacts.
Shigao Huang, Ibrahim Arpaci, Mostafa Al-Emran, Serhat Kılıçarslan, and Mohammed A. Al-Sharafi
Springer Science and Business Media LLC
Ibrahim Arpaci, Mohamad Noorman Masrek, Mohammed A. Al-Sharafi, and Mostafa Al-Emran
Springer Science and Business Media LLC
Mohammed A. Al-Sharafi, Mostafa Al-Emran, Ibrahim Arpaci, Noorminshah A. Iahad, Adi Ahmad AlQudah, Mohammad Iranmanesh, and Noor Al-Qaysi
Elsevier BV
Mohammed A. Al-Sharafi, Mohammad Iranmanesh, Mostafa Al-Emran, Ahmed Ibrahim Alzahrani, Fadi Herzallah, and Norziana Jamil
Elsevier BV
Mostafa Al-Emran, Maryam N. Al-Nuaimi, Ibrahim Arpaci, Mohammed A. Al-Sharafi, and Bokolo Anthony Jnr.
Springer Science and Business Media LLC
Fadi Herzallah, Amer J. Abosamaha, and Mohammed A. Al-Sharafi
Springer Nature Switzerland
Ahmed Saleh Al-Matari, Mohammed A. Al-Sharafi, and Mohammed A. Hajar
Springer Nature Switzerland
Mohammed A. Al-Sharafi, Mostafa Al-Emran, Noor Al-Qaysi, Mohammad Iranmanesh, and Nazrita Ibrahim
Informa UK Limited
Keng-Boon Ooi, Garry Wei-Han Tan, Mostafa Al-Emran, Mohammed A. Al-Sharafi, Alexandru Capatina, Amrita Chakraborty, Yogesh K. Dwivedi, Tzu-Ling Huang, Arpan Kumar Kar, Voon-Hsien Lee,et al.
Informa UK Limited
Keng-Boon Ooi, Garry Wei-Han Tan, Mostafa Al-Emran, Mohammed A. Al-Sharafi, Ibrahim Arpaci, Aws Alaa Zaidan, Voon-Hsien Lee, Lai-Wan Wong, Muhammet Deveci, and Mohammad Iranmanesh
Institute of Electrical and Electronics Engineers (IEEE)
Zeina Thabet, Sara Albashtawi, Hurmat Ansari, Mostafa Al-Emran, Mohammed A. Al-Sharafi, and Adi Ahmad AlQudah
Institute of Electrical and Electronics Engineers (IEEE)
Mohammed A. Hajar, Daing Nasir Ibrahim, Mohd Ridzuan Darun, and Mohammed A. Al-Sharafi
Springer International Publishing
Emad Abu-Shanab, Mohammed A. Al-Sharafi, and Mostafa Al-Emran
Informa UK Limited
Mohamed Ghayth Elghdban, Nurhidayah Azmy, Adnan Zulkiple, and Mohammed A. Al-Sharafi
IOP Publishing
Abstract Building information modelling (BIM), a recent information technology (IT) innovation in virtual design and construction, has been regarded as the most critical technology in the construction industry over the last decade. As a result, BIM adoption is rapidly increasing; however, this new phenomenon is not spreading as rapidly as it is in emerging regions such as Libya. The purpose of this study is to investigate the factors that affect BIM adoption at the organizational level by integrating the diffusion of innovation (DOI) theory, the technology-organization-environment (TOE) framework, and the institution theory. The data was gathered through a survey of 411 Libyan construction firms. Partial least squares were used for data analyses and to test the hypotheses. The results demonstrated that the (Perceived Relative Advantage and Compatibility) related positively to BIM adoption, while complexity related negatively to BIM adoption will top management support positively with Coercive Pressure on the adoption of BIM. The study’s findings provide significant insight into crucial factors that might increase the level of BIM adoption.
Hussein Khaled and Hossam Kamel
Elsevier BV
Mostafa Al-Emran, Ibrahim Arpaci, and Mohammed A. Al-Sharafi
Springer International Publishing
Mohammed A. Al-Sharafi, Mostafa Al-Emran, Ibrahim Arpaci, Gonçalo Marques, Abdallah Namoun, and Noorminshah A. Iahad
Informa UK Limited
Mohammed A. Al-Sharafi, Mostafa Al-Emran, Mohammad Iranmanesh, Noor Al-Qaysi, Noorminshah A. Iahad, and Ibrahim Arpaci
Informa UK Limited