Management Science Best Paper Award in Operations Management
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2022 Winner(s)
- Saif Benjaafar, The University of Minnesota
- Guangwen Kong , University of Minnesota
- Xiang Li , University of Minnesota
- Costas Courcoubetis , Singapore University of Technology and Design
Winning material:
Peer-to-Peer Product Sharing: Implications for Ownership, Usage, and Social Welfare in the Sharing Economy
Purpose of the Award
Starting 2013, the award is given to the manuscript judged to be most deserving for its contribution to the theory and practice of operations management among all operations papers published in the past 3 years at Management Science. For each award, finalists were selected from among a set of nominated papers by the editorial board of Management Science, and the winners were selected by a vote of the society members.
Information:
To see the past winning papers, click on the author's name.
Click here for award application information.
Past Awardees
2022
Winner(s)
Saif Benjaafar,
The University of Minnesota
Guangwen Kong ,
University of Minnesota
Xiang Li ,
University of Minnesota
Costas Courcoubetis ,
Singapore University of Technology and Design
2022
Finalist
Saed Alizamir,
School of Management, Yale University
Foad Iravani,
Uber Freight
Hamed Mamani,
University of Washington
Ruomeng Cui,
Emory University
Dennis Zhang, Washington University in St. Louis
Achal Bassamboo, Northwestern University
Dennis Zhang, Washington University in St. Louis
Achal Bassamboo, Northwestern University
Kostas Bimpikis,
Stanford University
Shayan Ehsani,
Management Science and Engineering, Stanford University
Rahmi İlkılıç,
Department of Industrial Engineering, University of Chile
Jiri Chod,
University of Rochester
Nikolaos Trichakis,
Massachussetts Institute of Technology
Gerry Tsoukalas,
University of Pennsylvania & Boston University
Henry Aspegren, Massachusetts Institute of Technology (MIT)
Mark Weber , IBM Research; MIT-IBM Watson AI Lab
Henry Aspegren, Massachusetts Institute of Technology (MIT)
Mark Weber , IBM Research; MIT-IBM Watson AI Lab
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