ƽ��岻�� Desautels Faculty of Management - Maxime Cohen’s Recent Research

Incentivizing Healthy Food Choices Using Add-On Bundling: A Field Experiment

ƽ��岻�� — Wed, 30 Oct 2024 12:46:35 +0000

Authors: Nymisha Bandi*, Maxime C. Cohen, and Saibal Ray

Publication: Manufacturing & Service Operations Management
Forthcoming
Articles in Advance: published online 12 August 2024

Abstract::

AI Is Good for Us: A Microsoft-sponsored white paper

ƽ��岻�� — Wed, 11 Sep 2024 18:09:18 +0000

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

ƽ��岻�� — Mon, 26 Feb 2024 20:32:50 +0000

Authors: Y. Adulyasak, M. C. Cohen, W. Khern-Am-Nuai and M. Krause

Publication: IEEE Engineering Management Review, Forthcoming
Articles in Advance — 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”

ƽ��岻�� — Tue, 09 Jan 2024 21:03:58 +0000

Authors: Nymisha Bandi, Maxime C. Cohen and Saibal Ray

Selecting Cover Images for Restaurant Reviews: AI vs. Wisdom of the Crowd

ƽ��岻�� — Wed, 23 Aug 2023 16:05:32 +0000

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

ƽ��岻�� — Thu, 30 Mar 2023 19:34:01 +0000

ƽ��岻�� 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. Amongst the distinguished honourees from ƽ��岻�� Desautels are Samer Faraj, Professor and Canada Research Chair in Technology, Innovation & Organizing (Distinguished Scholar Award), Warut Khern-am-nuai, Associate Professor, Information Systems (Sandra A.

Managing Airfares Under Competition: Insights from a Field Experiment

ƽ��岻�� — Fri, 06 Jan 2023 16:52:46 +0000

Authors: Maxime C. Cohen, Alexandre Jacquillat, Juan Camilo Serpa and Michael Benborhoum

Publication: Management Science, Forthcoming

Professors Cohen, Khern-am-nuai awarded SSHRC Insight Grant

ƽ��岻�� — Thu, 13 Oct 2022 16:07:20 +0000

Congratulations to Maxime Cohen, Professor in Retail and Operations Management and Warut Khern-am-nuai, Associate Professor in Information Systems who were awarded a 2022 SSHRC Insight Grant.

“Understanding Fairness in Fair Machine Learning”

Prof Maxime Cohen wins 2022 MSOM Young Scholar Prize

ƽ��岻�� — Tue, 12 Jul 2022 15:55:23 +0000

Congratulations to Maxime Cohen, Professor of Retail and Operations Management, winner of the 2022 MSOM Young Scholar Prize, awarded by Manufacturing and Service Operations Management - MSOM Society of INFORMS.

Competition and coopetition for two-sided platforms

ƽ��岻�� — Thu, 17 Mar 2022 15:02:30 +0000

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

ƽ��岻�� — Sun, 19 Dec 2021 22:26:56 +0000

Congratulations to Maxime Cohen, Professor of Retail and Operations Management, whose paper "The Effect of Short-Term Rentals on Residential Investment“ was selected as Best Conference Paper Nominee at the 2021 Conference on Information Systems and Technology (CIST)

Prof. Maxime Cohen named as SCALE AI Research Chair in Data Science for Retail

ƽ��岻�� — Tue, 14 Dec 2021 19:33:14 +0000

Congratulations to Professor Maxime Cohen, co-director of the Bensadoun School of Retail Management’s retail innovation lab, for being awarded the SCALE AI Research Chair in Data Science for Retail. The five-year chair will use AI to encourage healthier food choices, re-use more goods via a circular economy, make small businesses more efficient by digitizing supply chains in emerging markets, and increase access to legal advice.

Professor Cohen awarded 2021 NSERC Discovery Grant

ƽ��岻�� — Thu, 22 Jul 2021 21:30:59 +0000

Maxime Cohen, Professor of Retail and Operations Management awarded 2021 NSERC Discovery Grant

Promotion Optimization for Multiple Items in Supermarkets

ƽ��岻�� — Tue, 08 Jun 2021 14:16:47 +0000

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

ƽ��岻�� — Wed, 24 Mar 2021 18:11:39 +0000

Authors: Maxime C. Cohen, G. Perakis, R.S. Pindyck

Publication: Management Science, Volume 67, Issue 3, March 2021, Pages 1608-1621.

Abstract:

2020 SSHRC Insight Grants awarded

ƽ��岻�� — Tue, 23 Feb 2021 23:02:04 +0000

Congratulations to the Desautels professors who received 2020 SSHRC Insight Grants and Insight Development Grants.

SSHRC Insight Grants

Professor Laurent Barras (with Professor David Schumacher)
Professor Sebastien Betermier
Professor Lisa Cohen

Maxime Cohen appointed Associate Editor of Management Science

ƽ��岻�� — Fri, 30 Oct 2020 20:23:42 +0000

Maxime Cohen, Associate Professor of Retail Management and Operations Management, was recently appointed Associate Editor of Management Science

Desautels professors awarded IVADO research funding

ƽ��岻�� — Wed, 01 Jul 2020 13:29:58 +0000

Four Desautels professors have been awarded research grants by the Institute for Data Valorization (IVADO), a Montreal-based scientific and economic data science hub. The grants will fund three two-year research projects led by Desautels professors as part of IVADO’s Fundamental Research Funding Program.

ƽ���岻�� Desautels Faculty of Management - Maxime Cohen’s Recent Research