Status Downgrade: The Impact of Losing Status on a User-generated Content Platform
Authors: Vandith Pamuru, Wreetabrata Kar and Warut Khern-am-nuai
2023 SSHRC Insight Development Grants
Congratulations to the 麻豆AV 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.
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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:
Impacts of Social Interactions and Peer Evaluations on Online Review Platforms
Authors:听Yinan Yu, Warut Khern-am-nuai, Alain Pinsonneault and Zaiyan Wei
Publication:听Journal of Management Information Systems Volume 40, Issue 4, December 2023, Pages 1271-1300
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 detailsThe Impact of Online Q&As on Product Sales: The Case of Amazon Answer
Authors: Warut Khern-am-nuai, H. Ghasemkhani, D. Qiao and K.N. Kannan
Publication: Information Systems Research, Forthcoming
Negative Peer Feedback and User Content Generation: Evidence from a Restaurant Review Platform
Authors: K. Zhu, Warut Khern-am-nuai and Y. Yu
Publication: Production and Operations Management, Forthcoming
Desautels researchers celebrated at Bravo 2023
麻豆AV 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.
Prof. Khern-am-nuai wins Information Systems Society award
Congratulations to Warut Khern-am-nuai,听Associate Professor in Information Systems, who has won the ISS Sandra A. Slaughter Early Career Award.
Professors Cohen, Khern-am-nuai awarded SSHRC Insight Grant
Congratulations to Maxime Cohen,听Professor in Retail and Operations Management听and听Warut Khern-am-nuai,听Associate Professor in Information Systems who were awarded a听2022 SSHRC Insight Grant.
鈥淯nderstanding Fairness in Fair Machine Learning鈥�
Desautels鈥� event highlights innovative research and recognizes scholars
On Friday, May 13, members of the Desautels Faculty of Management gathered to celebrate the innovative and impactful research conducted by its scholars.听
Fifteen professors were on hand to deliver two-minute presentations of their most interesting and research.
Augmenting Password Strength Meter Design using the Elaboration Likelihood Model: Evidence from Randomized Experiments
Authors: Warut Khern-am-nuai, M.J. Hashim, Alain Pinsonneault, W. Yang and N. Li
Publication: Information Systems Research, Forthcoming
Abstract:
Identifying Perverse Incentives in Buyer Profiling on Online Trading Platforms
Authors: K.N. Kannan, R.L. Saha and Warut Khern-am-nuai
Publication: Information Systems Research, Forthcoming
Abstract:
More than the Quantity: The Value of Editorial Reviews for a UGC Platform
Authors: Y. Deng, J. Zheng, Warut Khern-am-nuai, and K.N. Kannan
Publication: Management Science, Forthcoming
Abstract:
