| Extrinsic versus intrinsic rewards for contributing reviews in an online platform W Khern-am-nuai, K Kannan, H Ghasemkhani Information Systems Research 29 (4), 871-892, 2018 | 323 | 2018 |
| Enhancing security behaviour by supporting the user S Furnell, W Khern-am-nuai, R Esmael, W Yang, N Li Computers & Security 75, 1-9, 2018 | 124 | 2018 |
| The use of AI in legal systems: determining independent contractor vs. employee status MC Cohen, S Dahan, W Khern-Am-Nuai, H Shimao, J Touboul Artificial intelligence and law, 1-30, 2023 | 105 | 2023 |
| The impact of an augmented-reality game on local businesses: A study of Pokémon Go on restaurants V Pamuru, W Khern-am-nuai, K Kannan Information Systems Research 32 (3), 950-966, 2021 | 103 | 2021 |
| More than the Quantity: The Value of Editorial Reviews for a User-Generated Content Platform Y Deng, J Zheng, W Khern-am-nuai, K Kannan Management Science 68 (9), 6865-6888, 2022 | 97* | 2022 |
| When Paying for Reviews Pays Off: The Case of Performance-Contingent Monetary Rewards Y Yu, W Khern-am-nuai, A Pinsonneault MIS Quarterly 46 (1), 609-626, 2022 | 71 | 2022 |
| Selecting Cover Images for Restaurant Reviews: AI vs. Wisdom of the Crowd W Khern-am-nuai, H So, MC Cohen, Y Adulyasak Manufacturing & Service Operations Management 26 (1), 330-349, 2024 | 30 | 2024 |
| The Impact of Online Q&As on Product Sales: The Case of Amazon Answer W Khern-am-nuai, H Ghasemkhani, D Qiao, K Kannan Information Systems Research 35 (2), 747-765, 2024 | 29 | 2024 |
| Using AI to detect panic buying and improve products distribution amid pandemic Y Adulyasak, O Benomar, A Chaouachi, MC Cohen, W Khern-Am-Nuai AI & society 39 (4), 2099-2128, 2024 | 26 | 2024 |
| Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments W Khern-am-nuai, MJ Hashim, A Pinsonneault, W Yang, N Li Information Systems Research 34 (1), 157-177, 2023 | 26 | 2023 |
| Using context-based password strength meter to nudge users' password generating behavior: A randomized experiment W Khern-am-nuai, W Yang, N Li 50th Hawaii International Conference on System Sciences, 587-596, 2017 | 22 | 2017 |
| AI and housing discrimination: The case of mortgage applications L Zou, W Khern-am-nuai AI and Ethics 3 (4), 1271-1281, 2023 | 19 | 2023 |
| Impacts of social interactions and peer evaluations on online review platforms Y Yu, W Khern-Am-Nuai, A Pinsonneault, Z Wei Journal of Management Information Systems 40 (4), 1271-1300, 2023 | 17 | 2023 |
| Strategic best response fairness in fair machine learning H Shimao, W Khern-am-nuai, K Kannan, MC Cohen Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 664-664, 2022 | 17 | 2022 |
| Manufacturer’s “1-up” from used games: Insights from the secondhand market for video games A Kim, RL Saha, W Khern-am-nuai Information Systems Research 32 (4), 1173-1191, 2021 | 17 | 2021 |
| Negative peer feedback and user content generation: Evidence from a restaurant review platform K Zhu, W Khern-am-nuai, Y Yu Production and Operations Management 34 (12), 3814-3829, 2025 | 14 | 2025 |
| How questions and answers shape online marketplaces: The Case of Amazon answer W Khern-am-nuai, H Ghasemkhani, K Kannan 50th Hawaii International Conference on System Sciences, 853-862, 2017 | 13 | 2017 |
| Identifying perverse incentives in buyer profiling on online trading platforms K Kannan, RL Saha, W Khern-am-nuai Information Systems Research 33 (2), 464-475, 2022 | 12 | 2022 |
| Retail analytics in the new normal: The influence of artificial intelligence and the Covid-19 pandemic Y Adulyasak, MC Cohen, W Khern-Am-Nuai, M Krause IEEE Engineering Management Review 52 (1), 268-280, 2023 | 11 | 2023 |
| Identifying arbitrage opportunities in retail markets with artificial intelligence J Tanlamai, W Khern-Am-Nuai, Y Adulyasak AI & SOCIETY 39 (5), 2615-2630, 2024 | 10* | 2024 |
Karthik KannanDean, Eller College of Management, University of ArizonaVerified email at arizona.edu
