Incentivizing Healthy Food Choices Using Add-On Bundling: A Field Experiment
Authors: Nymisha Bandi*, Maxime C. Cohen, and Saibal Ray
Publication:聽Manufacturing & Service Operations Management Forthcoming Articles in Advance: published online 12 August 2024
Abstract::
AI Is Good for Us: A Microsoft-sponsored white paper
AI has become an omnipresent topic of discussion in our daily lives, both professionally and personally. While much has been written on the challenges, risks, and pitfalls of AI (and the strong need to regulate its development and deployment carefully), it's also important to highlight its numerous benefits and positive impacts on society and the economy.
Retail Analytics in the New Normal: The Influence of Artificial Intelligence and the Covid-19 Pandemic
Authors: Y. Adulyasak, M. C. Cohen, W. Khern-Am-Nuai and M. Krause
Publication: IEEE Engineering Management Review, Forthcoming Articles in Advance 鈥� published online: December 1, 2023
Abstract:
Nymisha Bandi named Runner-Up in the 2023 POMS CBOM Junior Scholar Paper Competition for "Incentivizing Healthy Food Choices Using Add-on Bundling: A Field Experiment鈥�
Authors: Nymisha Bandi, Maxime C. Cohen and Saibal Ray
Selecting Cover Images for Restaurant Reviews: AI vs. Wisdom of the Crowd
Authors: Warut Khern-am-nuai, Hyunji So, Maxime C. Cohen and Yossiri Adulyasak
Publication: Manufacturing & Service Operations Management, Forthcoming
Abstract:
Restaurant review platforms, such as Yelp and Tripadvisor, routinely receive large numbers of photos in their review submissions. These photos provide significant value for users who seek to compare restaurants. In this context, the choice of cover images (i.e., representative photos of the restaurants) can greatly influence the level of user engagement on the platform. Unfortunately, selecting these images can be time consuming and often requires human intervention. At the same time, it is challenging to develop a systematic approach to assess the effectiveness of the selected images. In this paper, we collaborate with a large review platform in Asia to investigate this problem. We discuss two image selection approaches, namely crowd-based and AI-based systems. The AI-based system we use learn complex latent image features, which is further enhanced by transfer learning to overcome the scarcity of labeled data. We collaborate with the platform to deploy our AI-based system through a randomized field experiment to carefully compare both systems. We find that the AI-based system outperforms the crowd-based counterpart and boosts user engagement by 12.43%-16.05% on average. We then conduct empirical analyses on observational data to identify the underlying mechanisms that drive the superior performance of the AI-based system. Finally, we infer from our findings that the AI-based system outperforms the crowd-based system for restaurants with a (i) longer tenure on the platform, (ii) limited number of user-generated photos, (iii) lower star rating, and (iv) lower user engagement during the crowd-based system.
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Desautels researchers celebrated at Bravo 2023
污污草莓视频 University hosted its annual Bravo gala on Thursday March 30, which honours its researchers and scholars who have won special awards, memberships and prizes over the past year.
Managing Airfares Under Competition: Insights from a Field Experiment
Authors: Maxime C. Cohen, Alexandre Jacquillat,聽Juan Camilo Serpa and Michael Benborhoum
Publication: Management Science, Forthcoming
Professors Cohen, Khern-am-nuai awarded SSHRC Insight Grant
Congratulations to Maxime Cohen,聽Professor in Retail and Operations Management聽and聽Warut Khern-am-nuai,聽Associate Professor in Information Systems who were awarded a聽2022 SSHRC Insight Grant.
鈥淯nderstanding Fairness in Fair Machine Learning鈥�
Prof Maxime Cohen wins 2022 MSOM Young Scholar Prize
Congratulations to Maxime Cohen,聽Professor of Retail and Operations Management, winner of the聽2022 MSOM Young Scholar Prize, awarded by聽Manufacturing and Service Operations Management - MSOM Society of INFORMS.
Competition and coopetition for two-sided platforms
Authors: Maxime C. Cohen and Renyu Zhang
Publication: Production and Operations Management, Forthcoming
Abstract:
Prof Maxime Cohen's paper receives the CIST Best Conference Paper Nomination Award
Congratulations to Maxime Cohen,聽Professor of Retail and Operations Management, whose paper聽"The Effect of Short-Term Rentals on Residential Investment鈥� was selected as Best Conference Paper Nominee聽at the 2021 Conference on Information Systems and Technology (CIST)
Prof. Maxime Cohen named as SCALE AI Research Chair in Data Science for Retail
Congratulations to Professor Maxime Cohen, co-director of the Bensadoun School of Retail Management鈥檚 retail innovation lab, for being awarded the SCALE AI Research Chair in Data Science for Retail.
Professor Cohen awarded 2021 NSERC Discovery Grant
Maxime Cohen,聽Professor of Retail and Operations Management awarded聽2021 NSERC Discovery Grant
Promotion Optimization for Multiple Items in Supermarkets
Authors: Maxime C. Cohen, J.J. Kalas, and G. Perakis Publication: Management Science, Volume 67, Issue 4, April 2021, Pages 2340-2364. Abstract:
A Simple Rule for Pricing with Limited Knowledge of Demand
Authors: Maxime C. Cohen, G. Perakis, R.S. Pindyck
Publication: Management Science, Volume 67, Issue 3, March 2021, Pages 1608-1621.
Abstract:
