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
131
Scopus Publications
7574
Scholar Citations
45
Scholar h-index
99
Scholar i10-index
Scopus Publications
Sixth generation (6G) and the future of telecommunications entrepreneurship: innovation, ecosystems, and emerging use cases Umar Pervaiz, Sathiswaran A. L. Uthamaputhran, Mohammed A. Hajar, Mohammed A. Al-Sharafi Journal of Innovation and Entrepreneurship, 2026 This literature review examines the role of 6G and innovation in shaping the future of telecommunications entrepreneurship. While existing studies primarily emphasize technical roadmaps, research systematically linking 6G’s emerging use cases to entrepreneurial strategies and business model innovation remains limited, creating a gap in understanding how technological advances translate into entrepreneurial value. Addressing this gap, we ask: How do 6G technologies and innovation enable new opportunities for telecommunications entrepreneurship? Using a systematic literature review in line with PRISMA 2020 guidelines, this study categorizes 6G use cases across domains such as smart cities, digital healthcare, autonomous systems, and intelligent edge computing. Findings show that: (1) 6G capabilities including terabit-level speeds, sub-millisecond latency, and AI-native architectures are catalysts for novel ventures in immersive communication, digital twins, and autonomous mobility; (2) ecosystem readiness, including supportive policy frameworks and academia–industry collaboration, is decisive in enabling entrepreneurial outcomes; and (3) sustainable and inclusive innovation strategies are essential to align 6G-driven ventures with societal needs. The study presents an integrative conceptual framework that links 6G enablers, innovation drivers, and entrepreneurial opportunities, grounded in evidence from 80 academic and industry sources published primarily between 2016 and 2025, while retaining only a limited number of earlier foundational sources where conceptually necessary. By highlighting trends, gaps, and strategic implications, this review provides actionable insights for policymakers, industry leaders, and entrepreneurs. It also lays the foundation for future research on business model development and policy integration in the 6G era.
Toward responsible adoption of LLMs in the energy sector: A mixed-methods study using fuzzy Delphi and cross-cultural SEM Gamal Alkawsi, Mohammed A. Al-Sharafi, Yahia Baashar, Halimah Badioze Zaman, Noor Ismawati Jaafar Journal of Innovation and Knowledge, 2026 Despite the growing integration of large language models (LLMs) across various industries, the current literature remains limited in key areas, including a predominant focus on adoption intention rather than actual use and post-adoption outcomes, as well as a lack of domain-specific studies, particularly within the engineering and energy sectors. This study addresses these gaps through a two-phase investigation conducted in Malaysia and the United States. The study followed a sequential multistage methodology. First, a literature review and the fuzzy Delphi method (FDM) were employed to identify and validate key LLM adoption factors through expert consensus in the energy sector. These validated factors contributed to the development of an extended UTAUT-based model incorporating Trust Concerned (TC), Ethical Principles (EP), Perceived Anthropomorphism (PANTH), and Perceived Animacy (PAN). The model was then tested using survey data from 509 engineering professionals and analyzed using partial least squares (PLS) structural equation modeling (SEM) and multigroup analysis (MGA). Results revealed that Performance Expectancy (PE), EP, and Facilitating Conditions (FC) significantly influenced usage behavior (USE) in both contexts, while TC demonstrated a negative effect. PAN and PANTH significantly affected Effort Expectancy (EE) in Malaysia; however, PANTH remained insignificant in the US, a difference confirmed by PLS–MGA. Importantly, USE significantly influenced post-adoption outcomes, namely User Satisfaction (USAT) and Quality of Decision-Making (QDM). This study advances theory by integrating socio-ethical and design-based predictors into adoption models and highlights the need for domain-specific, post-adoption, and cross-cultural analyses.
Factors driving cybersecurity behavior in virtual reality: Evidence from SEM-ANN approach Rawan A. Alsharida, Mostafa Al-Emran, Mohammed A. Al-Sharafi Technology in Society, 2026 Despite the growing adoption of virtual reality (VR) in education, health, and gaming, empirical research on users’ cybersecurity behaviors remains scarce, leaving a critical gap in understanding how threat perceptions and individual propensities shape protective actions in these immersive spaces. This study aims to address this void by extending the Technology Threat Avoidance Theory (TTAT) with privacy concerns and perceived awareness to examine the determinants of cybersecurity behavior among VR users. Data were collected from 297 VR users and analyzed using a hybrid partial least squares-structural equation modeling (PLS-SEM) and artificial neural network (ANN) approach. The PLS-SEM results confirmed the impact of perceived severity, perceived vulnerability, distrust propensity, and risk propensity on perceived threats. Privacy concerns, perceived awareness, and perceived threats were found to significantly affect cybersecurity behavior. The ANN analysis ranked perceived threats as the most influential factor affecting cybersecurity behavior, with a normalized importance of 100%. By refining TTAT for VR contexts, this research provides theoretical advancements and practical guidance for various stakeholders to enhance user trust, reduce vulnerabilities, and promote safer adoption of immersive technologies.
Agentic AI as a service innovation: A mixed-methods study of satisfaction, trust, and continued use Mohammed A. Al-Sharafi, Shehab Abdulhabib Al-Zaeemi, Yogesh K. Dwivedi, Zainab O. Abdulkareem, Ahmed Ali, Inyoung Chae Journal of Innovation and Knowledge, 2026 AI agents and agentic AI systems are increasingly employed for decision-making and task execution. However, limited evidence explains how users evaluate agentic features or form intentions to continue using these systems. This gap has important implications for service innovation and innovation management, because sustained adoption determines whether agentic AI generates scalable value in real use. This study examines how perceived agentic characteristics, autonomy, proactivity, goal-directedness, adaptability, collaboration, and persistence influence user satisfaction, trust, and continued use intention in a post-adoption context. User-generated reviews of the Manus AI app were analyzed using Latent Dirichlet Allocation to identify themes aligned with theoretical constructs, drawing on 52,370 reviews from Google Play and the Apple App Store. The resulting constructs were validated using Partial Least Squares regression and XGBoost to assess explanatory and predictive relationships. The findings show that autonomy, proactivity, and goal-directedness significantly predict satisfaction, while adaptability, collaboration, and persistence primarily shape trust. Satisfaction and trust predict continued use intention, with satisfaction emerging as the stronger behavioral driver. Overall, the results clarify the mechanisms through which agentic AI supports sustained engagement and service value creation, and they provide design guidance for developing agentic systems that can be scaled as service innovations and support digital transformation.
How generative AI drives green purchase behavior: a dual-method study Behzad Foroughi, Jun Wen, Mostafa Al-Emran, Mohammed A. Al-Sharafi Asia Pacific Journal of Marketing and Logistics, 2026 Purpose Despite the widespread adoption of generative artificial intelligence (Gen AI) across various sectors, there is a limited understanding of the factors driving its use for environmental sustainability and green purchase behavior. The present study fills this gap by identifying the key factors influencing the use of Gen AI to access environmental information and the willingness to practice green purchasing behavior. Design/methodology/approach Through integrating the Unified Theory of Acceptance and Use of Technology 2 and the Value-Belief-Norm theory, with psychological ownership and warm glow as context-relevant extensions, we analyzed data from 514 respondents using Partial Least Squares Structural Equation Modeling and Artificial Neural Network methodologies. Findings The results highlight the importance of performance expectancy, effort expectancy, green value, learning value, psychological ownership, and environmental concern in driving the adoption of Gen AI for environmental information as well as green purchasing intentions. The study also underscores the role of emotional satisfaction (warm glow) in shaping behavioral intentions, highlighting a complex emotional-behavioral dynamic. Practical implications Insights from this study can guide technology developers in designing more user-centric AI tools, help marketers tailor eco-conscious messaging, and support policymakers in crafting strategies that promote sustainable consumer choices through digital innovation. Originality/value This study is among the first to explore the intersection of Gen AI and green consumerism using a bounded theoretical framework and a dual-method approach. The findings contribute to the growing literature on sustainable technology adoption and provide a foundation for future research on the environmental applications of AI technologies.
A hybrid SEM-ANN approach to predicting generative AI use in higher education through knowledge management Ibrahim Arpaci, Omer Gibreel, Mohammed A. Al-Sharafi Computers in Human Behavior Reports, 2026 This study investigated the impact of “knowledge management” (KM) practices on the integration of Generative Artificial Intelligence (Gen-AI) in higher education institutions (HEIs). The research model extended the “Theory of Planned Behavior” (TPB) with KM factors and was validated using a mixed SEM-ANN approach based on data from 584 undergraduate students. PLS-SEM results revealed that attitude, subjective norms, and perceived behavioral control significantly predicted continuance intention. Moreover, KM factors, including “knowledge acquisition,” “knowledge application,” and “knowledge sharing,” significantly predicted students’ attitudes. Furthermore, ANN findings revealed that knowledge application was the most important factor in predicting attitudes. The findings provide important theoretical contributions to the existing literature and practical implications that can help understand the critical role of KM in the integration of Gen-AI in higher education institutions.
Responsible Vibe Coding: Architecture, Opportunities, and Research Agenda Ibrahim A. Elgendy, Yogesh K. Dwivedi, Mohammed A. Al-Sharafi, Mohamed Hosny, Mohamed Y. I. Helal, Tom Crick, Laurie Hughes, Saleh Alwahaishi, Mufti Mahmud, Vincent Dutot, Adil S. Al-Busaidi Journal of Computer Information Systems, 2026
The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions 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, Xiu-Ming Loh, Adrian Micu, Patrick Mikalef, Emmanuel Mogaji, Neeraj Pandey, Ramakrishnan Raman, Nripendra P. Rana, Prianka Sarker, Anshuman Sharma, Ching-I Teng, Samuel Fosso Wamba, Lai-Wan Wong Journal of Computer Information Systems, 2025
Toward responsible adoption of LLMs in the energy sector: A mixed-methods study using fuzzy Delphi and cross-cultural SEM G Alkawsi, MA Al-Sharafi, Y Baashar, HB Zaman, NI Jaafar Journal of Innovation & Knowledge 15, 100990 , 2026 2026
Agentic AI as a service innovation: A mixed-methods study of satisfaction, trust, and continued use MA Al-Sharafi, SA Al-Zaeemi, YK Dwivedi, ZO Abdulkareem, A Ali, I Chae Journal of Innovation & Knowledge 14, 101039 , 2026 2026
How generative AI drives green purchase behavior: a dual-method study B Foroughi, J Wen, M Al-Emran, MA Al-Sharafi Asia Pacific Journal of Marketing and Logistics, 1-31 , 2026 2026
Why aren't electric vehicles taking over? Exploring the drivers and barriers to adoption: a systematic review, theoretical framework, and future directions A Hassan, MA Mahmoud, MA Al-Sharafi, M Ibrahim, MA Albashrawi Transportation Research Part F: Traffic Psychology and Behaviour 119, 103577 , 2026 2026
Factors driving cybersecurity behavior in virtual reality: Evidence from SEM-ANN approach RA Alsharida, M Al-Emran, MA Al-Sharafi Technology in Society, 103317 , 2026 2026
Role of AI characteristics, AI literacy, and institutional policy in shaping generative AI use and learning outcomes among higher education students A Tarhini, MA Al-Sharafi, H Al Lawati Interactive Learning Environments, 1-26 , 2026 2026
Agentic AI systems and the future of entrepreneurship: a perspective on co-agency, innovation, and ecosystem transformation MA Al-Bashrawi, MA Al-Sharafi, IA Elgendy, MYI Helal, MK Anbalagan, ... International Entrepreneurship and Management Journal 22 (1), 27 , 2026 2026 Citations: 4
Responsible Vibe Coding: Architecture, Opportunities, and Research Agenda IA Elgendy, YK Dwivedi, MA Al-Sharafi, M Hosny, MYI Helal, T Crick, ... Journal of Computer Information Systems, 1-19 , 2026 2026 Citations: 4
From User Experience To Trust: A Data-Driven Model Of Satisfaction And Trust Formation In Agentic Artificial Intelligence YK Dwivedi, MA AI-Sharafi, MYI Helal, S Alzaeemi 2026
A longitudinal consumer feedback analytics approach for theory building and testing: Examining consumer satisfaction and loyalty in buy now, pay later (BNPL) platforms MA Al-Sharafi, SA Alzaeemi, M Albashrawi, YK Dwivedi, R Alahmad, ... Journal of Retailing and Consumer Services 88, 104551 , 2026 2026 Citations: 4
Modeling behavioral intentions for sustainable adoption of autonomous vehicles: Theory, measurement, and predictive insights I Arpaci, MA Al-Sharafi, MA Mahmoud Transportation Research Part F: Traffic Psychology and Behaviour 116, 103378 , 2026 2026 Citations: 1
A longitudinal big data approach to theorizing consumers' continuance intention to use loyalty apps W Ahmed, MA Al-Sharafi, A Raza, SAS Al-Zaeemi, MA Al-Bashrawi, ... Journal of Retailing and Consumer Services 88, 104453 , 2026 2026 Citations: 6
Building antifragile manufacturing systems through strategic technology integration M Ghobakhloo, B Foroughi, M Fathi, M Al-Emran, MA Al-Sharafi, ... Journal of Manufacturing Technology Management 36 (9), 221-242 , 2025 2025 Citations: 5
Drivers of smartwatch use and its effect on environmental sustainability: evidence from SEM-ANN approach E Almheiri, M Al-Emran, MA Al-Sharafi, I Arpaci Asia-Pacific Journal of Business Administration 17 (4), 964-986 , 2025 2025 Citations: 15
An integrated SEM-ANN approach to evaluating cybersecurity behaviors in the metaverse RA Alsharida, BAS Al-rimy, M Al-Emran, MA Al-Sharafi, A Zainal International Journal of Human–Computer Interaction 41 (22), 14622-14641 , 2025 2025 Citations: 7
Determinants of long-term E-learning engagement: Integrating expectation confirmation theory and individual innovativeness using PLS-SEM F Herzallah, HTMH Allah, MA Al-Sharafi, M Alhayek Computers in Human Behavior Reports, 100853 , 2025 2025 Citations: 6
Antecedents of sustainable generative AI use among HEIs employees: examining net benefits through the lens of IS success and innovativeness AM Mutahar, MA Al-Sharafi, Y Shyyab, A Zouria Journal of Organizational Change Management, 1-18 , 2025 2025 Citations: 1
Integrating information security culture and protection motivation to enhance compliance with information security policies in banking: evidence from PLS-SEM and fsQCA EM Alrawhani, AB Romli, MA Al-Sharafi, G Alkawsi International Journal of Human–Computer Interaction 41 (20), 12728-12749 , 2025 2025 Citations: 12
From adoption to social sustainability: examining the factors affecting students’ use of virtual reality in higher education M Al-Emran, MA Al-Sharafi, B Foroughi, N Al-Qaysi, NKY Leung, ... Education and Information Technologies, 1-24 , 2025 2025 Citations: 5
Examining the factors influencing cybersecurity behaviors in m-payment contactless technologies using SEM–ANN approach H Yousuf, M Al-Emran, MA Al-Sharafi, K Shaalan Journal of Financial Services Marketing 30 (3), 21 , 2025 2025 Citations: 5
MOST CITED SCHOLAR PUBLICATIONS
The potential of generative artificial intelligence across disciplines: Perspectives and future directions KB Ooi, GWH Tan, M Al-Emran, MA Al-Sharafi, A Capatina, A Chakraborty, ... Journal of Computer Information Systems 65 (1), 76-107 , 2025 2025 Citations: 1159
A review of machine learning and deep learning techniques for anomaly detection in IoT data R Al-Amri, RK Murugesan, M Man, AF Abdulateef, MA Al-Sharafi, ... Applied Sciences 11 (12), 5320 , 2021 2021 Citations: 306
Understanding the impact of knowledge management factors on the sustainable use of AI-based chatbots for educational purposes using a hybrid SEM-ANN approach MA Al-Sharafi, M Al-Emran, M Iranmanesh, N Al-Qaysi, NA Iahad, I Arpaci Interactive Learning Environments 31 (10), 7491-7510 , 2023 2023 Citations: 287
Generation Z use of artificial intelligence products and its impact on environmental sustainability: A cross-cultural comparison MA Al-Sharafi, M Al-Emran, I Arpaci, NA Iahad, AA AlQudah, ... Computers in human behavior 143, 107708 , 2023 2023 Citations: 240
AI-based chatbots adoption model for higher-education institutions: A hybrid PLS-SEM-neural network modelling approach NIM Rahim, NA Iahad, AF Yusof, MA Al-Sharafi Sustainability 14 (19), 12726 , 2022 2022 Citations: 218
Determinants of using AI-based chatbots for knowledge sharing: evidence from PLS-SEM and fuzzy sets (fsQCA) M Al-Emran, AA AlQudah, GA Abbasi, MA Al-Sharafi, M Iranmanesh IEEE Transactions on Engineering Management 71, 4985-4999 , 2023 2023 Citations: 214
The impact of knowledge management practices on the acceptance of Massive Open Online Courses (MOOCs) by engineering students: A cross-cultural comparison I Arpaci, M Al-Emran, MA Al-Sharafi Telematics and informatics 54, 101468 , 2020 2020 Citations: 194
Exploring the impact of cybersecurity on using electronic health records and their performance among healthcare professionals: a multi-analytical SEM-ANN approach M Ala'a, T Ramayah, MA Al-Sharafi Technology in Society 77, 102592 , 2024 2024 Citations: 180
Determinants of cloud computing integration and its impact on sustainable performance in SMEs: An empirical investigation using the SEM-ANN approach MA Al-Sharafi, M Iranmanesh, M Al-Emran, AI Alzahrani, F Herzallah, ... Heliyon 9 (5) , 2023 2023 Citations: 177
Evaluating the sustainable use of mobile payment contactless technologies within and beyond the COVID-19 pandemic using a hybrid SEM-ANN approach MA Al-Sharafi, N Al-Qaysi, NA Iahad, M Al-Emran International Journal of Bank Marketing 40 (5), 1071-1095 , 2022 2022 Citations: 176
What impacts learning with wearables? An integrated theoretical model M Al-Emran, R Al-Maroof, MA Al-Sharafi, I Arpaci Interactive learning environments 30 (10), 1897-1917 , 2022 2022 Citations: 139
The Effect of Security and Privacy Perceptions on Customers’ Trust to Accept Internet Banking Services: An Extension of TAM MA AL-SHARAFI, RA Arshah, EA Abu-Shanab, N Elayah Journal of Engineering and Applied Sciences 11 (3), 545-552. , 2016 2016 Citations: 138
The role of social media in transforming learning at higher education institutions during the pandemic: PLS-SEM approach A Al-Tahitah, A Al-Momani, MA Al-Sharafi, M Abdulrab, MA Hajar Current and Future Trends on Intelligent Technology Adoption: Volume 2, 247-267 , 2024 2024 Citations: 137
AI-based chatbots adoption model for higher-education institutions: A hybrid PLS-SEM-neural network modelling approach NI Mohd Rahim, N A. Iahad, AF Yusof, M A. Al-Sharafi Sustainability 14 (19), 12726 , 2022 2022 Citations: 133
A scientometric analysis and systematic literature review for construction project complexity H Ghaleb, HH Alhajlah, AA Bin Abdullah, MA Kassem, MA Al-Sharafi Buildings 12 (4), 482 , 2022 2022 Citations: 125
A multi-analytical approach to predict the determinants of cloud computing adoption in higher education institutions YAM Qasem, S Asadi, R Abdullah, Y Yah, R Atan, MA Al-Sharafi, ... Applied Sciences 10 (14), 4905 , 2020 2020 Citations: 122
Examining the roles of students' beliefs and security concerns for using smartwatches in higher education M Al-Emran, A Granić, MA Al-Sharafi, N Ameen, M Sarrab Journal of Enterprise Information Management 34 (4), 1229-1251 , 2021 2021 Citations: 112
Factors affecting metaverse adoption in education: A systematic review, adoption framework, and future research agenda S Maghaydah, M Al-Emran, P Maheshwari, MA Al-Sharafi Heliyon 10 (7) , 2024 2024 Citations: 101
Examining the impact of psychological, social, and quality factors on the continuous intention to use virtual meeting platforms during and beyond COVID-19 pandemic: A hybrid … MA Al-Sharafi, M Al-Emran, I Arpaci, G Marques, A Namoun, NA Iahad International Journal of Human–Computer Interaction 39 (13), 2673-2685 , 2023 2023 Citations: 99
The Current Risk Management Practices and Knowledge in the Construction Industry. RA Bahamid, SI Doh, MA Khoiry, MA Kassem, MA Al-Sharafi s Note: MDPI stays neutral with regard to jurisdictional claims in published … , 2022 2022 Citations: 97
