Dr
Kyuseop KwakProfile page
Lecturer
Marketing Discipline Group
BIO
Kyuseop Kwak is a lecturer in the Marketing Discipline Group at UTS, He has been teaching Marketing Research, New Product Marketing, Marketing Analytics and International Marketing. Kyuseop holds a Ph.D in Marketing from University of Iowa and MS degree in Marketing Research from University of Wisconsin-Madison. He previously worked at A.C. Nielsen as an analytical intern at Madison, Wisconsin, US and Hyundai Research Institute, Seoul Korea.
His research interests are mainly consumer choice models based on consumer behaviour and economic theory. He is especially interested in households' multiple-category choice behaviour, menu choice or product bundling choice. Kyuseop's research has been published in Journal of Retailing, Australsian Marketing Journal, Journal of Travel Research, Journal of Choice, and Journal of Marketing Thought. He also presented his research at several major marketing conferences like the INFORMS Marketing Science. .He has also received multiple teaching awards in the area of practical application of theories to business problems..
His research interests are mainly consumer choice models based on consumer behaviour and economic theory. He is especially interested in households' multiple-category choice behaviour, menu choice or product bundling choice. Kyuseop's research has been published in Journal of Retailing, Australsian Marketing Journal, Journal of Travel Research, Journal of Choice, and Journal of Marketing Thought. He also presented his research at several major marketing conferences like the INFORMS Marketing Science. .He has also received multiple teaching awards in the area of practical application of theories to business problems..
UNIVERSITY OF TECHNOLOGY SYDNEY APPOINTMENTS
- LecturerUniversity of Technology Sydney, Sydney, AustraliaJul 2007 - present
UNIVERSITY OF TECHNOLOGY SYDNEY ORGANISATIONAL UNITS MEMBERSHIP
DEGREES
- PhDUniversity of Iowa, USA
PROFILE TYPE
- Academic
AVAILABILITY
- Masters Research or PhD student supervision