Emmanuelle Vaast Professor in Information Systems winner of AIS Fellow Award
The Term Structure of Short Selling Costs, Review of Finance
Authors:Â Gregory Weitzner
Gender homophily: In-group citation preferences and the gender disadvantage
Authors: Sifan Zhou, Sen Chai and Richard B. Freeman
Publication: Research Policy Volume 53, Issue 1, January 2024, 104895
Inventory Control and Learning for One-Warehouse Multistore system with Censored Demand
Authors: Recep Yusuf Bekci, Mehmet Gumus and Sentao Miao.
Publication: Operations Research, Forthcoming. Article in advance, published online: August 2, 2023.
Pathways of Peer Influence on Major Choice
Authors: Brian Rubineau, Shinwon Noh, Michael A. Neblo and David M.J. Lazer
AI tools can have unanticipated consequences for managers
When a Los Angeles law firm began adopting new artificial intelligence tools to automate contract reviews, it looked like junior lawyers and paralegals might be out of a job. Yet, even as these tools conducted increasingly complex tasks, the firm’s workforce didn’t suffer. However, this shift to AI taking on some tasks previously performed by humans forced the firm to reconfigure its organizational structure.
Research challenging a startup orthodoxy wins multiple Academy of Management awards
Rapid scaling funded through venture capital is the holy grail of Silicon Valley startups—and has been hailed as a way to encourage economic growth in impoverished places. Yet, slower growth could yield greater benefits for local economies, according to Anna Kim, Associate Professor of Strategy and Organization at McGill Desautels.
2023 SSHRC Insight Grants awarded
Congratulations to the McGill Desautels professors who received 2023 SSHRC Insight Grants.The Social Sciences and Humanities Research Council of Canada (SSHRC) is the federal research funding agency that promotes and supports research and training in the humanities and social sciences.
Samer Faraj, Professor of Strategy & Organization, named a Fellow of the Royal Society of Canada
Professor Samer Faraj has been named a Fellow of the Royal Society of Canada’s Academy of Social Sciences. This honour is conferred upon Professor Faraj in recognition of his outstanding research and scholarly achievement.
Buyer–Supplier Relationship Dynamics in Buyers’ Bankruptcy Survival
Authors: Sudha Mani, Vivek Astvansh and Kersi D. Antia
Publication:Â Â Journal of Marketing, Forthcoming, EXPRESS: First published online July 27, 2023
Abstract:
The effects of regulatory investigation, supplier defect, and product age on stock investors’ reaction to an automobile recall
Authors:Â Vivek Astvansh and Kamran Eshghi
Publication: Journal of Business Research, Volume 167, November 2023, Article 114052
Abstract:
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.
More detailsMcGill Experts, including Desautels Professor, comment on WHO’s listing of aspartame sweetener as possible carcinogen
Yu Ma, Associate Professor at the McGill Desautels Faculty of Management, discusses the consumer implications of aspartame being listed as "possibly carcinogenic to humans" by the World Health Organization's International Agency for Research on Cancer (IARC), potentially increasing scrutiny and concerns about the safety of food additives.
The Path to Hedonic Information System Use Addiction: A Process Model in the Context of Social Networking Sites
Authors: Isaac Vaghefi, Bogdan Negoita, and Liette Lapointe
Publication: Information Systems Research; Volume 34, Issue 1, March 2023, Pages 85-110
Abstract:
The Winner’s Curse in Dynamic Forecasting of Auction Data: Empirical Evidence from eBay
Authors: Ernan Haruvy, Meisam Hejazi Nia, Özalp Özer, and A. Serdar Şimşek
Publication:Â Manufacturing & Service Operations Management; Volume 25, Issue 3, May-June 2023, Pages 1155-1175