Mr. Muhammad Abdullah Idrees
Designation
Lecturer and Program Manager – MBA
Department
- Faculty of Management Science, Department of Business Administration
Specialization
Finance
Qualifications
MBA, PhD Candidate
Quick Links
Biography
Muhammad Abdullah Idrees is a seasoned academic and researcher with over a decade of teaching and administrative experience in business education. He is currently serving as a Lecturer and Program Manager for the MBA Program at Salim Habib University. Holding an MBA (Finance) from SZABIST and currently pursuing his PhD at Ziauddin University, his academic and research interests cover financial management, fintech adoption, Islamic finance, and corporate governance.
Mr. Idrees has an impressive portfolio of research publications in HEC-recognized and Scopus-indexed journals and actively contributes to international conferences. Known for his dynamic teaching style, student mentorship, and commitment to experiential learning, he has supervised numerous postgraduate research projects and regularly delivers guest lectures at leading academic institutions.
Courses Taught
Introduction to Finance, Strategic Finance and Investment, Finance for Business Managers, Securities Trading and Applied Economics, Thesis Supervision
Research Interest
His research focuses on financial management, fintech adoption, and Islamic finance. He is particularly interested in corporate governance practices in emerging markets and the socio-economic impact of financial innovations. His work also explores digital finance trends and their influence on business sustainability.
Selected Publications
Comparative analysis of FinTech adoption among Islamic and conventional banking users with moderating effect of education level: A UTAUT2 perspective. Journal of Open Innovation: Technology, Market, and Complexity
This study investigates consumer behavior toward FinTech services in Pakistan, identifying key drivers and barriers to adoption. Using the UTAUT2 model with an educational segmentation, it examines performance expectancy, effort expectancy, social influence, and facilitating conditions as predictors of FinTech adoption. Data were collected from 382 respondents in Karachi through a structured questionnaire. The findings reveal significant differences between Islamic and conventional banking users. The study offers insights for FinTech firms to enhance adoption through user-friendly, culturally attuned, and feedback-driven services.
Evaluating the Effectiveness of Boardrooms in Family-Owned Businesses: A Study on Strategic Benefits and Decision Making Impact. International Journal of Multicultural Education
This study examines the role and effectiveness of boardrooms in family-owned businesses, focusing on identifying their most and least impactful benefits. Using a bipolar questionnaire filled by boardroom experts, the research assesses key decision-making and governance functions. Results highlight CEO evaluation and fundraising as significant contributors to boardroom effectiveness. Fundraising, in particular, enhances financial planning and risk management. The study offers actionable insights for family businesses to better leverage boardrooms for strategic growth.
ChatGPT Genesis: An Analytical Exploration through Systematic and Bibliometric Review. Remittances Review
This study presents a systematic literature review and bibliometric analysis of ChatGPT-related research, analyzing 328 publications from Scopus and 34 key articles. It highlights emerging trends, publishing patterns, and thematic focuses like NLP, healthcare, and education. Findings reveal that ChatGPT research is still in its early stages, with significant contributions from the US. The study underscores the need for deeper exploration, especially in ethics and responsible AI use. It serves as a valuable reference for scholars and practitioners navigating this evolving field.
Investigating the Factors Influencing the Acceptance of Islamic Mobile Fintech Service - A UTAUT2 Perspective. Kurd Stud
This study explores factors influencing the adoption of Islamic Mobile FinTech Services (MFS) in Pakistan using a modified UTAUT2 model. Surveying 310 Islamic bank customers, data were analyzed through structural equation modeling via SMART PLS. Results reveal that social influence, facilitating conditions, price, and perceived credibility positively impact Islamic MFS adoption. Conversely, performance and effort expectancy were not significant barriers. The findings provide valuable insights for academics, financial institutions, and FinTech providers to enhance service adoption.
