Muhammad Qaiser Shafi | Quantitative Hypotheses | Best Researcher Award
Mr Muhammad Qaiser Shafi, FAST National University of Computer & Emerging Sciences, Islamabad, Pakistan, Pakistan
Mr. Muhammad Qaiser Shafi is a dedicated academic and HR professional, currently serving as a Lecturer at FAST School of Management, FAST-NUCES, Islamabad, Pakistan. He is pursuing a PhD in Human Resource Management (HR/People Analytics) from COMSATS University Islamabad. With over 9 years of extensive experience in both academia and the corporate sector, Mr. Shafi has significantly contributed to the fields of HRM, leadership, green HRM, and employee behavior. He has published 20 research papers in top-tier journals and has presented at numerous local and international conferences. A versatile trainer and mentor, he has conducted workshops on HR Analytics, AI Tools for Literature, and data analysis software, demonstrating a deep commitment to education and research. His profound expertise and continuous academic excellence make him a distinguished candidate for the Best Researcher Award.
Publication Profile
Education
Mr. Muhammad Qaiser Shafi’s academic journey reflects excellence and dedication. He is currently enrolled in a PhD program specializing in Human Resource Management (HR/People Analytics) at COMSATS University Islamabad, having completed his coursework with a CGPA of 3.6 and progressing towards his thesis. He earned his MS in HRM from Quaid-i-Azam University Islamabad, graduating with an impressive CGPA of 4.4. His undergraduate education, a BBA Hons (HRM) also from Quaid-i-Azam University, was completed with a CGPA of 3.7. Before his university education, he secured top grades during his Intermediate (I.Com) from Punjab College of Information Technology and Matriculation in Computer Science, securing A+ distinctions. His educational background forms a solid foundation for his academic and research achievements, reflecting a consistent pursuit of knowledge and skill enhancement.
Experience
Mr. Muhammad Qaiser Shafi brings over 9 years of diversified experience across academia and the corporate world. He is currently a Lecturer at FAST School of Management, FAST-NUCES, Islamabad, where he teaches HRM, Strategic Management, and Advanced Research Methods, while also mentoring students and supervising research projects. Prior to this, he served at Riphah International University as a Senior Lecturer and PhD Focal Person, leading academic discussions, coordinating PhD programs, and implementing research initiatives. His corporate experience includes working as an HR Officer at the National Logistics Cell (NLC) and an HR Trainee at Oil & Gas Development Company Limited (OGDCL), where he developed expertise in training, recruitment, data analysis, and HR operations. His rich blend of teaching, research, and corporate HR experience uniquely positions him as a dynamic academic and HR professional.
Awards and Honors
Mr. Muhammad Qaiser Shafi has received several accolades that underscore his excellence and dedication. He was awarded “Best Employee/Faculty Member” for two consecutive years (2020-2021 and 2021-2022). He secured an international research grant worth USD 3000 from the International Institute of Islamic Thought (IIIT), USA. His scholarly contributions are recognized through certifications for presenting papers at prestigious conferences hosted by LUMS, NUST, UMT, Riphah University, and JWU. Mr. Shafi is also a certified HR Analytics professional from the University of California, Irvine (via Coursera) and serves as a reviewer for notable journals like the Journal of Organizational Effectiveness: People and Performance and Journal of Islamic Business and Management. These honors reflect his commitment to research excellence and continuous professional development.
Research Focus
Mr. Muhammad Qaiser Shafi’s research interests lie primarily in Human Resource Analytics, Green HRM, leadership behaviors, employee personality traits, and organizational citizenship behavior. He explores contemporary themes such as the impact of inclusive leadership on project success, linking HR practices with sustainable employee behavior, and the mediating roles of employee engagement and project citizenship behavior. His work often combines behavioral theories with statistical analysis tools like SmartPLS and SPSS, offering actionable insights for academia and industry. His focus on People Analytics represents a modern, data-driven approach to HRM research, while his publications on topics like project management and green behavior address current global business challenges. Mr. Shafi’s research blends theoretical depth with practical relevance, aiming to enhance both organizational performance and employee well-being.
Publication Top Notes
1. From Inclusion to Action: Does Project Manager’s Inclusive Leadership Drive Team Member’s Project Citizenship Behavior? — International Journal of Project Management (IF 7.4, 2025)
2. Predicting Required and Voluntary Employee Green Behavior Using the Theory of Planned Behavior — Corporate Social Responsibility and Environmental Management (IF 8.7, 2022)
3. The Mediating Role of Project Citizenship Behavior in the Relationship Between Organizational Justice Dimensions and Project Success — Project Management Journal (IF 4.9, 2021)
4. Job Crafting and Innovative Behaviour: Examining Mediation and Moderation Mechanism — International Journal of Technological Learning, Innovation and Development (X category, 2021)
Conclusion
Given Mr. Muhammad Qaiser Shafi’s outstanding academic background, diverse professional experience, impressive research portfolio, and numerous accolades, he is exceptionally well-suited for the Best Researcher Award. His continuous contributions to the academic community through impactful research, mentoring, training, and active participation in conferences and journal reviews demonstrate his unwavering commitment to advancing knowledge and practice in Human Resource Management. His blend of practical HR experience and high-impact research sets him apart as a leading academician and makes him a deserving candidate for this prestigious honor.