Chi Sheh

Faculty Profile

Dr. Chi Sheh is Associate Professor of Business Administration at the University of the West. He teaches courses in finance, accounting, statistics, and economics. Dr. Sheh has published a book chapter, “A Buddhist Perspective on Humanizing Business,” exploring the practical implications of Buddhist principles for ethical business practices. More recently, he has published several articles and been invited to speak at international academic conferences on the intersection of artificial intelligence and business.

Dr. Sheh directs the UWest Socially Responsible Investment Fund, where he guides MBA students in selecting socially responsible companies, mutual funds, and ETFs based on a detailed analysis of financial data and ESG metrics. He is also the founding advisor to the Sustainable Investing Club at UWest, fostering innovative ideas and practical approaches to sustainable investing. Previously, Dr. Sheh worked as a financial analyst at Enron Corporation, with experience in power trading, international energy and water project development, and commercial energy risk management and services.

Licenses & Certificates

• FINRA Series 6 – Investment Company and Variable Contracts Products Representative
• FINRA Series 63 – Uniform Securities Agent State Law

Selected Publications

• Sheh, C. (2024). Unlocking educational transformation: Entrepreneurs and the power of AI. Journal of Advanced Management Science, 12(2), 52-56.
• Chang, O., & Sheh, C. (2022). A Buddhist perspective on humanizing business. In M. Dion, R. E. Freeman, & S. D. Dmytriyev (Eds.), Humanizing business: What humanities can say to business (pp. 31-53). Springer.
• Petrikat, D., Chan, P., & Sheh, C. (2018). How life extension breakthroughs are affecting strategy in the supplement industry. Journal of Academy of Business and Economics, 18(3), 43-52.
• Chonpatathip, S., Boonpoo, S., Thitikalaya, N., Ramabut, C., Siriwan, U., Chan, P., & Sheh, C. (2018). Performance management of Buddhist schools in Thailand: An empirical study using structural equation modeling. International Journal of Business Research, 18(3), 103-114.