Ke-Wei HUANG - NUS Computing

COM2-04-18

651 62786

www.comp.nus.edu.sg/~huangkw

HUANG Ke Wei

Associate Professor
Executive Director, Asian Institute of Digital Finance

Ph.D. (Information Systems, New York University, 2007)
M.Sc. (Information Systems, New York University, 2002)
M.B.A. (Finance, National Taiwan University, 1997)
B.Sc. (Electrical Engineering, National Taiwan University, 1995)

Dr Ke-Wei Huang is the executive director of Asian Institute of Digital Finance and an Associate Professor in the Department of Information Systems and Analytics at the National University of Singapore (NUS). Dr Huang joined NUS in July 2007. He received his PhD (2007), MPhil (2005), and MSc (2002) degrees in Information Systems from the Stern School of Business at New York University, and his MBA in Finance (1997) and BSc in Electrical Engineering (1995) from National Taiwan University. Dr Huang's research interests are in Fintech, causal Machine learning, data mining for financial applications, and AI for improving social science research methods. Currently, he focuses on various topics of Fintech, AI and Finance, labor economics of IT professionals, and data mining or econometrics issues for topics in accounting or finance.

RESEARCH AREAS

Data Science & Business Analytics

FinTech

Computational Social Science

RESEARCH INTERESTS

Forecasting Models for Financial and Accounting Applications
Machine Learning for Improving Social Science Research Methods
Labor Economics in Information Technologies Industries
Machine Learning Applications in FinTech
Economcis of FinTech

RESEARCH PROJECTS

RESEARCH GROUPS

TEACHING INNOVATIONS

SELECTED PUBLICATIONS

“Handling Missing Values in Information Systems Research: A Review of Methods and Assumptions,” by Jiaxu Peng, Jungpil Hahn, and Ke-Wei Huang, Information Systems Research. Vol. 34 (1), 2023 p.5-26.
“Correcting Misclassification Bias in Regression Models with Variables Generated via Data Mining” by Mengke Qiao and Ke-Wei Huang, Information Systems Research, Vol. 32 (2), 2021, p.462-480.
“Platform Skills and the Value of New Hires in the Software Industry” by Chunmian Ge, Ke-Wei Huang, and Atreyi Kankanhalli, Research Policy, Vol. 49 (1) 2020, 103864.
"Pricing Data Services: Pricing by Minutes, by Gigs, or by Mega Bytes per Second?" by Ying-Ju Chen and Ke-Wei Huang, Information Systems Research, Vol. 27 (3), 2016, p.596-617.
“Engineer/Scientist Careers: Patents, Online Profiles, and Misclassification Bias,” by Chunmian Ge, Ke-Wei Huang, and Ivan Png,Strategic Management Journal, Vol. 37 1, 2016 January, p.232–253.
“Investigating the Determinants of Starting Salary of IT Graduates,” by Chunmian Ge, Atreyi Kankanhalli and Ke-Wei Huang,DATA BASE for Advances in Information Systems, Vol. 46 4, 2015 November, p.9-25.
“Leveraging Location-Based Services for Couponing and Infomediation” by Xiao Zou and Ke-Wei Huang,Decision Support Systems, Vol. 78 10, 2015 October, p.93–103.
“Analyzing the Scale Economies of Software-as-a-Service Software Firms: A Stochastic Frontier Approach” by Ge Chunmian and Ke-Wei Huang,IEEE Transactions on Engineering Management, Vol. 61 4, 2014 October, p.610-622.
"Hierarchical Screening for Capacity Allocation in Supply Chains: The Role of Distributors” by Ying-Ju Chen, Mingcherng Deng, and Ke-Wei Huang,Production and Operations Management, Vol. 23 3, 2014 March, p.405-419.
“A Multi-Label Text Classification Algorithm for Labeling Risk Factors in SEC Form 10-K,” by Ke-Wei Huang and Zhuolun Li, (2011), ACM Transactions on MIS, Vol. 2 (3), p.18:1-18:19.
“Pricing Digital Goods: Discontinuous Costs and Shared Infrastructure,” by Ke-Wei Huang and Arun Sundararajan, (2011) Information Systems Research, Vol. 22 (4), p.721-738.
“Personalized Pricing and Quality Customization,” by Anindya Ghose and Ke-Wei Huang, (2009) Journal of Economics and Management Strategy, Vol.18 (4), p.1095-1135.
“Optimal Criteria for Selecting Price Discrimination Metrics when Buyers have Log-Normally Distributed Willingness-to-Pay,” by Ke-Wei Huang, (2009) Quantitative Marketing and Economics, Vol.7 (3), p.321-341.
"Controlling Homophily in Social Network Regression by Neural Networks," by Xuanqi Liu and Ke-Wei Huang, INFORMS Journal on Computing, Vol.37 (3), p. 684 - 702.
“Investigating Employees’ Occupational Risks and Benefits Resulting from Artificial Intelligence: An Empirical Analysis,” by Xuanqi Liu, Qi Wang, and Ke-Wei Huang (2024) Information & Management, Vol.61 (8), p.104036.
“Correcting Measurement Error in Regression Models with Variables Constructed from Aggregated Output of Data Mining Models,” by Mengke Qiao and Ke-Wei Huang (2025) MIS Quarterly,Vol. 49 (1), p.29-60.