麻豆AV

Warut Khern-am-nuai Associate Professor in Information Systems winner of AIS Early Career Award

Emmanuelle Vaast Professor in Information Systems winner of AIS Fellow Award

The Term Structure of Short Selling Costs, Review of Finance

Authors:聽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

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鈥檚 workforce didn鈥檛 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鈥攁nd 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 麻豆AV Desautels.

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鈥檚 Academy of Social Sciences. This honour is conferred upon Professor Faraj in recognition of his outstanding research and scholarly achievement.

Buyer鈥揝upplier Relationship Dynamics in Buyers鈥� Bankruptcy Survival

Authors: Sudha Mani, Vivek Astvansh and Kersi D. Antia

Publication:聽聽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鈥� reaction to an automobile recall

Authors:聽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.

麻豆AV Experts, including Desautels Professor, comment on WHO鈥檚 listing of aspartame sweetener as possible carcinogen

Yu Ma, Associate Professor at the 麻豆AV 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: