Kim, Keehyung（金起亨） BS (KAIST); MS (Seoul National); PhD (Wisconsin-Madison)



Assistant Professor
ContactDepartment of Decision Sciences and Managerial Economics

Room 948, 9/F
Cheng Yu Tung Building
12 Chak Cheung Street
Shatin, N.T., Hong Kong

+852 3943 5259

kkim@cuhk.edu.hk


Links
Personal Homepage
LinkedIn Profile
Curriculum Vitae

BiographyProf. Keehyung Kim is an Assistant Professor in the Department of Decision Sciences and Managerial Economics at The Chinese University of Hong Kong (CUHK) Business School. His research draws from disciplines of economics, psychology, and machine learning to shed light on decision-making behaviours in online & mobile platforms as well as consumer marketplace. His research has been published or is forthcoming at Management Science. He has taught Big Data Management, Business Information Systems, and Programming in Java & Python for the past years. He won a number of Teaching Awards at the CUHK Business School and the Wisconsin School of Business. He received his PhD in Operations and Information Management from the Wisconsin School of Business, University of Wisconsin-Madison. Prior to that, he received MS in Computer Science from Seoul National University, and BS in Computer Science (with minor in Business Economics) from Korea Advanced Institute of Science and Technology (KAIST).
Teaching AreasBusiness Analytics
Big Data
Machine Learning
Text Mining
Research InterestsOnline Behaviour
Economic Modeling of IS
Behavioural Economics
Experimental Economics
Publications & Working PapersPublications
Kevin Chung, Keehyung Kim, and Noah Lim (2020), “Social Structures and Reputation in Expert Review Systems,” Management Science.
Jinghui (Jove) Hou, Keehyung Kim, Xiao Ma, and Sung S. Kim (2019), “Disrupting Unwanted Habits in Online Gambling Through Information Technology,” Journal of Management Information Systems, 36(4), 1213-1247.
Keehyung Kim, Kevin Chung, and Noah Lim (2019), “Third-Party Reviews and Quality Provision,” Management Science,?65 (6), 2695-2716.
Working Papers
“Rewarding Experts in Revenue-Sharing Crowdfunding”
“Contest and Prize Structures to Design Better Online Contests”
“Effect of the Rounded Rating Display on Online Rating and Review Behavior”

Grants“Rewarding Experts and Its Consequences in Revenue-Sharing Crowdfunding”, awarded by Hong Kong Research Grants Council, 2020-2022

Awards & HonoursFaculty Teaching Excellence Award, CUHK Business School, 2017-2018
Faculty Teaching Merit Award, CUHK Business School, 2017-2018 &?2016-2017
Distinguished Teaching Award, Wisconsin School of Business, 2014-2015 & 2013-2014