Muhammad Mansab | Financial Statistics and Analytics | Young Scientist Award

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Mr. Muhammad Mansab | Financial Statistics and Analytics | Young Scientist Award

Liaoning Technical University | China

Mr. Muhammad Mansab is a researcher and engineer whose academic and professional trajectory reflects strong expertise in manufacturing engineering, sustainable supply chain management, and artificial intelligence applications. He holds a Bachelor of Science in Electrical Technology from the University of Lahore and a Master of Science in Project Management from the Superior College Lahore, both with outstanding academic results. His professional background includes extensive industrial experience as a Production Engineer at Escorts (Pvt. Ltd), Lahore, where he led projects involving electrical systems, energy metering, and continuous process optimization under USAID AMI initiatives. Currently affiliated with Liaoning Technical University as a Research Assistant, he contributes to advanced studies in green supply chain management, focusing on financial barrier mitigation, green bonds, and public–private partnership risk reduction. Mansab has authored and co-authored several peer-reviewed documents in areas such as sustainable manufacturing, artificial intelligence in healthcare, social commerce adoption, and human-factor reliability in intelligent construction. His scholarly record includes over 8 citations, an h-index of 1, and 2 indexed documents, reflecting an emerging research profile. Proficient in SPSS, R, Smart PLS (SEM), and Python, he integrates data-driven approaches to enhance firm performance through green innovation mediation. Recognized for academic excellence with the HEC Merit Scholarship and multiple international faculty development programs, he is also known for cross-cultural collaboration between China and South Asia, and is fluent in English and Urdu with basic proficiency in Mandarin.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Sadiq, S., Kaiwei, J., Aman, I., & Mansab, M. (2025). Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption. European Research on Management and Business Economics, 31(1), 100268.

Hassan, S., Irfan, D., Nasim, F., Yakoi, P. S., Mansab, M., & Zubair, S. (2024). Room occupancy detection using IoT sensor data and machine learning. International Journal of Social Science Archives (IJSSA), 7(3).

Lixia, N., Jia’ao, W., Mansab, M., Wen, S., & Fenglian, X. (2025). Study on human factor reliability under the dynamic evolution of intelligent lifting construction accidents. American Journal of Multidisciplinary Research and Innovation.

Tapur, A., Ishtiaque, M., & FengYi, J. (2024). Artificial intelligence in healthcare: Ethical considerations and potential impact in Pakistan. International Journal of Social Science Archives (IJSSA), 7(3).

Lixia, N., & Mansab, M. (2025). Overcoming financial barriers in GSCM: Strategies for sustainable manufacturing in China and Pakistan. Process Integration and Optimization for Sustainability, 1–24.

Xhavit Islami | Econometrics and Statistical Economics | Best Researcher Award

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Assist Prof. Dr. Xhavit Islami | Econometrics and Statistical Economics | Best Researcher Award

AAB College | Albania

Assist Prof. Dr. Xhavit Islami is a leading academic in Management and Strategic Management at the Faculty of Economics, AAB College, Republic of Kosovo. He earned his PhD in Organizational Sciences and Management from the University of “Ss. Cyril and Methodius” in North Macedonia and has since built a strong record of research and scholarly contributions. Professor Islami has completed 35 research projects and is currently engaged in five ongoing projects, demonstrating his active involvement in advancing knowledge in management, strategic decision-making, human resource management, and supply chain management. He has published 16 articles in high-impact, Scopus-indexed journals and authored two books, reflecting his commitment to rigorous scholarship. His research work has earned him a Scopus h-index of 4 with 122 citations, highlighting the influence of his publications within the international academic community. He has also participated in five consultancy and industry-sponsored projects, bridging the gap between theory and practice. Professor Islami has collaborated on significant initiatives, including the “EDU-LAB Horizon” Project (2025–2027), and serves on the Scientific Committee of AAB College. His studies focus on innovative strategies, organizational performance, and the integration of artificial intelligence in management practices, providing practical insights for businesses and policymakers. Through his research, he has contributed to the understanding of competitive advantage, sustainable growth, and organizational effectiveness. Professor Islami maintains active professional profiles on Scopus, ORCID, ResearchGate, SSRN, and Academia.edu, ensuring his work is accessible and widely recognized. His scholarly achievements, combined with his ongoing research and industry collaborations, position him as a prominent figure in management and strategic studies, making him a highly deserving candidate for the Best Researcher Award.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

“When and How Does Innovation Augment the Effect of HRM on SME Performance?”

“Artificial intelligence and value-based strategy: a literature review and future research directions”

“Lean manufacturing and firms’ financial performance: the role of strategic supplier partnership and information sharing”

“Does competitive strategy moderate the linkage between HRM practices and company performance”

“The Role of Internal Human Resource Orchestration on Firm Performance”