Dr Ka Chung Boris NG

Academic Staff

PolyU Scholars Hub

Assistant Professor, Presidential Young Scholar

Research Area: Management Information Systems

M840
+852 2766 4021
kc-boris.ng@polyu.edu.hk
Consulting, Research and Teaching Interests: Augmented AI, Business Analytics, Fake News, FinTech, Social Media
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PolyU Scholars Hub

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Biography

Dr. Boris Ka Chung Ng is an Assistant Professor and Presidential Young Scholar in the Department of Management and Marketing, Faculty of Business, at The Hong Kong Polytechnic University. He holds a PhD in Information Systems and a BSc in Risk Management and Business Intelligence from The Hong Kong University of Science and Technology.

Dr. Boris Ng’s research stands at the intersection of multidisciplinary fields and leverages advanced machine learning techniques to address critical societal challenges and generate business insights. His work contributes to the sustainable development of AI in business and society, focusing on two primary areas: (1) FinTech & AI and (2) Computational Social Science. His research offers both theoretical and practical implications for academia, institutions, and policymakers.

His work appears in leading business journals, including Journal of Management Information Systems and Production and Operations Management, and has been presented at premier Information Systems conferences.

Education and Academic Qualifications

Bachelor of Science in Risk Management and Business Intelligence, The Hong Kong University of Science and Technology
Master of Philosophy in Information Systems, The Hong Kong University of Science and Technology
Doctor of Philosophy in Information Systems, The Hong Kong University of Science and Technology

Teaching Area

Management Information Systems, AI Applications in Business, Machine Learning, Text Mining, Business Applications Programming (e.g., Python, R, Java, VBA)

Research Interests

Dr. Boris Ng is an Assistant Professor - Presidential Young Scholar in the Department of Management and Marketing, Faculty of Business, Hong Kong Polytechnic University. He received his Ph.D. in Information Systems from the Hong Kong University of Science and Technology.

His works bridge multidisciplinary research areas and advanced machine learning methods to resolve significant societal issues and generate valuable business insights. His research contributes to the sustainable development of AI in business and FinTech. Specifically, his studies on strategic manipulation in machine learning, computerized textual analysis of fake news, and behavioral aspects of cybersecurity offer theoretical and practical implications to academia, institutions, and policymakers that are pivotal to promoting the social and corporate governance aspects of ESG. His research has appeared in leading business journals, such as Production and Operations Management and Journal of Management Information Systems, and top conferences on Information Systems.