Strategic utilization of software patents to counteract rival penetration in the IT industry
Authors: Sunghun Chung, Kunsoo Han, Animesh Animesh and Alain Pinsonneault
Publication: Journal of Strategic Information Systems Volume 33, Issue 1, March 2024, 101820
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Professor Liette Lapointe awarded honorary doctorate from Aix-Marseille University
McGill Desautels Professor Liette Lapointe has been awarded the title of Doctor Honoris Causa from Aix-Marseille University, recognized for her contributions to information systems management and behavioural studies.
Professor Alain Pinsonneault named to SAQ Board of Directors
In January 2024, Prof. Alain Pinsonneault was appointed to a four-year term on the Board of Directors of the Societé des alcools du Québec (SAQ). The Distinguished James McGill Professor brings expertise in information technology management and business digitization to the SAQ, which sells beer, wine and spirits at more 400 locations throughout Quebec.
All External Reference Prices Are Not the Same: How Magnitude, Source, and Fairness Shape Payment for Digital Goods
Authors: Geneviève Bassellier and Jui Ramaprasad
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 — published online: December 1, 2023
Abstract:
In times of crisis, there can be benefits to diversifying messages across different social media accounts
We live in an age of information, and we’re able to obtain it through many different channels. During disasters, many people turn to social media, and there is an orthodoxy in the field of crisis communications that organizations should speak in a consistent voice across different accounts and platforms. But Changseung Yoo is challenging that notion.
Do Early Words from New Ventures Predict Fundraising? A Comparative View of Social Media Narratives
Authors: Taha Havakhor, Alireza Golmohammadi, Rajiv Sabherwal and Dinesh K. Gauri
Impacts of Social Interactions and Peer Evaluations on Online Review Platforms
Authors: Yinan Yu, Warut Khern-am-nuai, Alain Pinsonneault and Zaiyan Wei
Publication: Journal of Management Information Systems Volume 40, Issue 4, December 2023, Pages 1271-1300
Emmanuelle Vaast Professor in Information Systems winner of AIS Fellow Award
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.
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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