Dr. GOH Khim Yong
Associate Professor, Department of Information Systems
Vice Dean (Corporate Relations), School of Computing
National University of Singapore
15 Computing Drive, Singapore 117418
Republic of Singapore
Phone: (65) 6516 2832
Fax: (65) 6779 7365
Office Location: COM2, #04-33
Dr. Goh Khim Yong is an Associate Professor of Information Systems and Vice Dean (Corporate Relations) of the School of Computing at The National University of Singapore (NUS). He received his Ph.D. degree (2005) in Business Administration (Marketing: Economics and Quantitative Methods) from The University of Chicago, Booth School of Business. He holds a B.Sc. (First Class Honours) degree (1997) in Computer and Information Sciences and a M.Sc. degree (1998) in Information Systems from The National University of Singapore.
Dr. Goh’s research work has been published in top-ranked international academic journals such as Management Science, Journal of Marketing Research, MISQ Quarterly, Information Systems Research, IEEE Transactions on Engineering Management, Journal of the Association for Information Systems, Information and Management, International Journal of Production Research, Journal of Interactive Marketing, and Journal of Electronic Commerce Research. He has also presented papers in the International Conference on Information Systems, Annual Workshop on Information Technology and Systems, INFORMS Marketing Science Conference, Workshop on Information Systems and Economics, Hawaii International Conference on System Sciences, and IDA Infocomm Professional Development Forum. He has also served in the program committees of the International Conference on Information Systems and the Pacific Asia Conference on Information Systems as an associate editor and track co-chair. His opinions and comments on various research findings and industry developments have also been cited in various popular news publications or channels such as Straits Times, Channel NewsAsia, 联合早报, ZDNet Asia, Capital Ideas and Investor’s Business Daily. In his teaching engagements, Dr. Goh has instructed various students from undergraduate, post-graduate and industry executive students in the NUS School of Computing, NUS Business School, NUS Strategic Technology Management Institute, NUS Business Analytics Centre and the University of Chicago, Booth School of Business (Executive MBA programme). He has been recently involved in spearheading the development and launch of new NUS bachelor and master degree programmes in Business Analytics.
Dr. Goh’s research and teaching interests include consumer and firm behaviors in markets with network and social interaction effects, marketing and advertising in digital media environments, competitive product, pricing and promotional strategies in IT-mediated markets, and applied econometric and data analytic methods. In his research and consulting activities, Dr. Goh has worked on business analytics and customer data analytics projects with various businesses and organizations from Singapore, United States, China, Japan, Korea and Australia, spanning industry vertical sectors such as e-commerce, interactive digital media, social media, news print media, retailing, advertising, government, food and beverage, healthcare and pharmaceutical sectors. Examples of the organizations Dr. Goh has collaborated with include Johnson and Johnson, Fox Fashion, Wing Tai Retail Pte Ltd, NUS Multi-purpose Cooperative Society Ltd, Sheng Siong Supermarket, Waraku Restaurants, Kriston Food & Beverage Pte Ltd, Pastamania, Creative Eateries, Privé Group, Ministry of Food (MOF), NUS Society (NUSS), Donut Factory, Dianping.com, PepperConn, Fractalist, Sold.sg, Triibe, Mr. Eyewear, Hodaka Motoworld, Cash Slide, Sephora, Singapore Press Holdings Ltd, Khoo Teck Puat Hospital, InfoComm Development Authority, and Workforce Development Agency.
Marketing and Advertising in Digital Media Environments
Consumer & Firm Behaviors in Markets with Network and Social Interaction Effects
Competitive Product, Pricing and Promotional Strategies in IT-mediated Markets
Econometric and Markov Chain Monte Carlo Methods
Economics of Information Systems and E-Commerce
Information Technology and Marketing Strategies
Quantitative Models for Information Technology and Marketing Management