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Dr Noman Arshed
- Lecturer
Department of Business Analytics
SDGs Focus
Biography
Dr Noman Arshed is a lecturer in the Department of Business Analytics, Sunway Business School, Sunway University. He has expertise in programming in R and Python and integrating advanced econometrics with machine learning. His research interests are exploring gains of AI integration in business and environment.
Academic & Professional Qualifications
PhD Islamic Banking & Finance, (2020)
MSc Economics, (2011)
BSc Economics, (2010)
Research Interests
- AI & Strategic Management
- AI & Sustainability
- Advanced Econometrics
- Business Analytics in Banking and Education
Teaching Areas
- Research Methodology
- Econometrics
- Business Analytics
- Data Analysis Using R
Courses Taught
- Capstone Project
Notable Publications
- Ul-Durar, S., Bakkar, Y., Arshed, N., Naveed, S., & Zhang, B. (2025). FinTech and Economic Readiness: Institutional Navigation Amid Climate Risks. Research in International Business and Finance, online first. https://www.sciencedirect.com/science/article/abs/pii/S0275531924003362
- Massacci, A., Ul-Durar, S., Arshed, N., & Sharif, A. (2024). Climate change, environmental policies in the housing sector of Italy, and the impact on social welfare. Energy Economics, https://www.sciencedirect.com/science/article/pii/S0140988324007679
- Kakar, S. K., Wang, J., Arshed, N., Hien, T. T. L., & Abdullahi, N. M. (2024). Investigating the Biodiversity Conservation Capability of Technological Innovation and FinTech. Heliyon, https://www.sciencedirect.com/science/article/pii/S240584402416714X
- Shahzad, A. A., Anwar, M. A., Arshed, N., & Bilan, Y. (2024). Nexus between economic growth, renewable energy and climate vulnerability: A global perspective using EKC framework. Renewable Energy, online first https://www.sciencedirect.com/science/article/abs/pii/S0960148124017841
- Kakar, S. K., Ali., J., Wang, J., Wu, X., Arshed, N., Hien, T. T. L., & Yadav, R. S. (2024). Exploring the impact of industrialization and electricity use on carbon emissions: The role of green FinTech in Asian countries using an asymmetric panel quantile ARDL approach. Journal of Environmental Management, 370. https://www.sciencedirect.com/science/article/abs/pii/S0301479724029566?via%3Dihub