Mengze Shi
Bio
Mengze Shi is a Professor of Marketing at Rotman. His research is focused on incentives and motivation mechanisms - how people respond to different sales and marketing mechanisms and how companies should design the programs and organizations. He is also interested in how marketing and sales organizations should respond to new technologies. Mengze was named the Eliison Professor of Marketing in 2020 and is also the area's PhD program coordinator where he enjoys working with doctoral students.
Academic Positions
-
from 2001
Assistant, Associate, and Full Professor of Marketing, Rotman School of Management
-
1997-2001
Assistant Professor of Marketing, Hong Kong University of Science and Technology
Selected Publications - Papers
-
Measuring rank-based utility in contest
with T. Hossain and R. Waiser
Journal of Marketing Research
2019
-
Managing Consumer Deliberations in Decentralized Distribution Channel
with X. Li and D. Li
Marketing Science
2018
-
Is a Monogamous Relationship always Better? Loyalty Programs and Consumer Responses to Demotion from Elite Memberships
with P. Agarwal
Journal of Association for Consumer Research
2018
-
Product and price decisions in crowdfunding
with M. Hu and X. Li
Marketing Science
Issue:3
2015
-
Threshold Effects in Online Group Buying
with Wu, J. and M. Hu
Management Science
Issue:9
2015
-
Money Talks: Intrinsic and Extrinsic Incentives for WOM referrals.
with A. Wojnicki
Journal of Advertising Research
Issue:March
2014
-
Sequential and Simultaneous Group Buying Mechanism
with Hu and Wu
Management Science
Issue:12
2013
-
Strategic Relationship between Endogenous and Exogenous Switching Costs
M. Shi
Quantitative Marketing and Economics
Issue:2
2012
-
Consumer Value-maximizing Sweepstakes & Contests: A Theoretical and Experimental Investigation
with A. Kalra
Journal of Marketing Research
Issue:April
2010
-
Empirically Investigating the Value of a Brand Alliance in Professional Team Sports
with Yupin Yang and Avi Goldfarb
Marketing Science
Issue:November
2009
-
A B2B Bargaining Model for a First-time Interaction under Asymmetric Beliefs on Supply Reliability
with H. Gurnani
Management Science
Issue:6
2006
-
Price competition with reduced consumer switching costs: the case of wireless number portability in cellular phone industry
with J. Chiang and B. Rhee
Management Science
Issue:52
2006
-
Managing Capacity through Reward Programs
with B. Kim and K. Srinivasan
Management Science
Issue:4
2004
-
Salesforce compensation scheme and consumer inference
with Ajay Kalra and Kannan Srinivasan
Management Science
Issue:May
2003
-
Virtual Progress: The Effect of Path Characteristics on Perceptions of Progress and Choice Behavior
with D. Soman
Management Science
Issue:9
2003
-
Designing Optimal Sales Contests: A Theoretical Perspective
with Ajay Kalra
Marketing Science
Issue:Spring
2001
-
Reward Programs and TAcit Collusion
with Byung-Do Kim and Kannan Srinivasan
Marketing Science
Issue:Spring
2001
-
Optimal Mailing of Catalogs: A New Methodology Using Estimable Structural Dynamic Programming Models
with Fusun Gonul
Management Science
Issue:September
1998
Selected Publications - Books and Chapters
Research and Teaching Interests
Mengze's research focuses on incentives and motivation mechanisms in sales and marketing. He is best known for his research in customer relationship programs and sales force management. In recent years he has found interests in understanding how marketing and sales should adapt to the emerging technology . Mengze has taught a range of marketing courses including managing customer value, new product development, marketing research, marketing data analysis, and sales and channel management.
Honors and Awards
-
2013, 2012, 2006
Excellence in Teaching Award, Rotman School of Management
-
2017, 2016, 2015, 2014
Distinguished/Meritorious Service Award, Management Science
-
2003
Roger Martin and Nancy Lang Awards for Excellence in Research, Rotman School of Management
Academic / Professional Service
-
Present
Associate Editor, Management Science, Informs
-
Present
Editorial board, Marketing Science, Informs