Education Background
Phd ,Purdue University
B.So.Sc. (Economics), The Chinese University of Hong Kong
Research Field
Biography
Professor Lau is a researcher in various marketing areas including Customer Relationship Management, Big Data Marketing, AI marketing and applications of data mining, text mining and voice mining in marketing. He has more than 20 years of research collaboration experience with the industry in both Hong Kong and Mainland China. He obtained external funding more than ten million Hong Kong dollars from the Hong Kong Government and the industry to research and implement data driven marketing for banks and retailers. He was the recipient of IBM Global Shared University Research Awards from 2014 to 2016. He was also the recipient the of the Marketing Scholar award from Hong Kong Institute of Marketing in 2017. His research articles appeared in leading academic journals including Journal of Marketing Research, International Journal of Research in Marketing, Marketing Letters, Journal of Management Information Systems, Journal of Classification, Journal of Forecasting and European Journal of Operational Research.
Professor Lau taught marketing courses for undergraduate program, MBA program, MSc program and EMBA program in The Chinese University of Hong Kong. His teaching interests include Quantitative Marketing, Database Marketing, Big Data Marketing for undergraduate students, and Customer Relationship Management, Marketing Engineering, Big Data Marketing Practicum for graduate students. He was the first program coordinator of the Quantitative Marketing Program for undergraduate students. He also served as the first program director of the Big Data Marketing Stream in the MSc Marketing program in CUHK.
In addition to teaching, Professor Lau also served as the Director of Marketing Engineering Center in CUHK from 2008 to 2017. The Center provided research and consultancy services to more than twenty companies in the financial industry and retailing industry in both Hong Kong and Mainland China. He received the IBM Faculty awards four times between 2011 to 2016 for his big data marketing services to the industry.
Selected Academic Articles
1. "Using Economic Incentives to Distinguish Perception Bias from Discrimination Ability in TasteTests", Journal of Marketing Research, Vol 32 (2), pp140-151, 1995 [Lau, Post and Kagan].
2. "A Stochastic Programming Model to Analyze Ordinal Preference Data", Marketing Letters, Vol. 4, Number 1, 1993. [Lau, Post and Selvaraj].
3. "Evaluating Consumer Preferences for Existing Products", Decision Science, Vol. 24, Number 1, 1993. [Lau and Post].
4. "A Modeling Approach to Evaluating Strategic Uses of Information Technology", Journal of Management Information Systems, Vol 12 (2), pp161-187, 1995 [Post, Kagan and Lau].
5. "Combining Ordinal Forecasts With an Application in a Financial Market", Journal of Forecasting, Vol 15 (1), pp37-48, 1996 [Fan, Lau and Leung].
6. "Stochastic Preference Modeling Within a Switching Regression Framework", Computers and Operation Research, Vol 23 (12), pp1163-1169, 1996 [Lau, Yang and Post].
7. "Market Share Modeling Within a Switching Regression Framework", Omega: International Journal of Management Science, Vol 25 (3), pp345, 1997 [Lau , Kagan and Post].
8. "A Nonlinear Programming Approach to Metric Unidimensional scaling", Journal of Classification, Vol 15, pp 3-14, 1998 [Lau, Leung and Tse].
9. "A Mathematical Programming Approach to Clusterwise Regression Model and its Extensions", European Journal of the Operational Research Society, Vol 116 (3), pp640- 652, 1999 [Lau, Leung and Tse].
10. "Economic Freedom Ranking of 161 countries in Year 2001: A minimum disagreement approach", Journal of the Operational Research Society, Vol 53, pp 664-671, 2002 [Lau and Lam].
