Hao-Chun Chuang

Professor Hao-Chun Chuang is a distinguished faculty member in the Department of Management Information Systems at National Chengchi University's College of Commerce. He holds a Ph.D. in Information and Operations Management from Texas A&M University and has steadily progressed through the academic ranks at NCCU, serving as Assistant Professor (2013-2016), Associate Professor (2016-2022), and currently Professor (2022-present).

His research expertise spans Retailing, Smart Operations, Quantitative Analysis, Supply Chain, and System Dynamics, with a strong focus on empirical operations management research. Professor Chuang has published extensively in top-tier journals including Journal of Operations Management, Omega, Production and Operations Management, and European Journal of Operational Research, demonstrating a consistent trajectory of high-impact research in retail operations and analytics.

His publication record reveals a clear evolution from foundational work on retail inventory management and shelf availability toward more sophisticated applications of machine learning and predictive analytics in operations management. Recent publications increasingly integrate advanced data science techniques with traditional operations management problems, particularly in retail demand forecasting, customer behavior analysis, and service operations optimization.

Major Scientific Awards:

• International Young Outstanding Scholar Research Program (multiple years)
• JOM Associate Editor Service Award (2024)
• OMEGA Best Paper Award 2023
• Wu Ta-You Memorial Award
• Academic Research Excellence Award from NCCU (multiple years)
• Yu Shan Academic Award from College of Commerce (multiple years)
• Senior Excellent Teacher (10 years) recognition

Professor Chuang has successfully led numerous research projects funded by Taiwan's National Science and Technology Council, with current projects focusing on empirical theory development in operations management from a machine learning perspective. His work bridges academic rigor with practical applications in retail operations, demonstrating strong industry relevance while maintaining scholarly excellence.