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
Mostafa Al-Emran, Noor Al-Qaysi, Mohammed A. Al-Sharafi, Mana Khoshkam, Behzad Foroughi, and Morteza Ghobakhloo
Elsevier BV
Ibrahim Arpaci, Mohammed A. Al-Sharafi, and Moamin A. Mahmoud
Elsevier BV
Mostafa Al-Emran, Mohammed A. Al-Sharafi, Behzad Foroughi, Mohammad Iranmanesh, Rawan A. Alsharida, Noor Al-Qaysi, and Nor'ashikin Ali
Elsevier BV
Gamal Alkawsi, Nazrita Ibrahim, Mohammed A. Al-Sharafi, Abdulsalam Salihu Mustafa, Husni Mohd Radzi, and Luiz Fernando Capretz
Elsevier BV
Ala'a Al-Momani, T. Ramayah and Mohammed A. Al-Sharafi
Elsevier BV
Safwan Maghaydah, Mostafa Al-Emran, Piyush Maheshwari, and Mohammed A. Al-Sharafi
Elsevier BV
Mostafa Al-Emran, Noor Al-Qaysi, Mohammed A. Al-Sharafi, Hussam S. Alhadawi, Hurmat Ansari, Ibrahim Arpaci, and Nor’ashikin Ali
Informa UK Limited
Osama Mohammad Alkhasoneh, Hamiza Jamaludin, Abdul Rahman i Bin Zahar, and Mohammed A. Al-Sharafi
Emerald
PurposeDespite the widespread use of social media globally, SMEs exhibit a below-average adoption rate. This raises critical questions about the reasons behind SMEs' limited engagement with this ubiquitous platform. The primary objective of this research is to explore the factors influencing the utilization of social media by small and medium-sized enterprises (SMEs) and assess its influence on brand awareness and customer engagement in the Jordanian context.Design/methodology/approachThis study utilizes a quantitative research approach to examine SMEs' adoption of social media. Data are collected from 290 SMEs in Jordan through paper-based and online surveys employing purposive sampling. The validity of the proposed model is confirmed using a partial least squares (PLS) approach, specifically employing SmartPLS 4 for analysis.FindingsThe results reveal that the examined model successfully captures the dynamics of social media usage among SMEs, shedding light on the significant drivers influencing their decision to use social media in their activities. The findings also underscore the pivotal role of social media usage in SMEs, particularly in enhancing brand awareness and fostering customer engagement within the Jordanian business landscape.Originality/valueThis study significantly contributes to the existing literature by highlighting the practical implications of social media activity, specifically in the context of SMEs. Using the UTAUT2 model to examine the drivers of social media use among SMEs and extend it to assess the broader impact of social media usage on brand awareness and customer engagement adds uniqueness to the study, providing a more nuanced view of social media usage in the SME sector.
Muhammed Ibrahim, Moamin A. Mahmoud, Mohammed A. Al-Sharafi, Abba Hassan, Noorminshah A. Iahad, and Saraswathy Shamini Gunasekaran
Springer Nature Switzerland
Ali Al-Tahitah, Ala’a Al-Momani, Mohammed A. Al-Sharafi, Mohammed Abdulrab, and Mohammed A. Hajar
Springer Nature Switzerland
Mohammed A. Hajar, Mohammed A. Al-Sharafi, Nazrita Ibrahim, Daing Nasir Ibrahim, Ahmed Saleh Al-Matari, Basheer Al-Haimi, and Ali Al-Tahitah
Springer Nature Switzerland
Abba Hassan, Moamin A. Mahmoud, Mohammed A. Al-Sharafi, Muhammed Ibrahim, Noorminshah A. Iahad, and Saraswathy Shamini Gunasekaran
Springer Nature Switzerland
Noor Al-Qaysi, Mostafa Al-Emran, Mohammed A. Al-Sharafi, Mohammad Iranmanesh, Azhana Ahmad, and Moamin A. Mahmoud
Informa UK Limited
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)
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, 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)
Emad Abu-Shanab, Mohammed A. Al-Sharafi, and Mostafa Al-Emran
Informa UK Limited
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