| The emergence of opinion leaders in a networked online community: A dyadic model with time dynamics and a heuristic for fast estimation Y Lu, K Jerath, PV Singh Management Science 59 (8), 1783-1799, 2013 | 155 | 2013 |
| Everyone can be a star: Quantifying grassroots online sellers’ live streaming effects on product sales C Chen, Y Hu, Y Lu, Y Hong | 98 | 2019 |
| Is a core–periphery network good for knowledge sharing? A structural model of endogenous network formation on a crowdsourced customer support forum Y Lu, PV Singh, B Sun MIS quarterly 41 (2), 607-628, 2017 | 67 | 2017 |
| Direct and indirect spillovers from content providers’ switching: Evidence from online livestreaming K Zhao, Y Lu, Y Hu, Y Hong Information Systems Research 34 (3), 847-866, 2023 | 58 | 2023 |
| Everyone can be a star: Understanding the role of live video streaming in online retail C Cheng, Y Hu, Y Lu, Y Hong Available at SSRN 3422615, 2019 | 32 | 2019 |
| The impact of subscription reciprocity on charitable content creation and sharing: evidence from twitter on giving tuesday XJ Tan, Y Lu, Y Tan Management Information Systems Quarterly, Forthcoming, 2019 | 22 | 2019 |
| MICROBLOGGING REPLIES AND OPINION POLARIZATION: A NATURAL EXPERIMENT. Y Lu, J Wu, Y Tan, J Chen MIS Quarterly 46 (4), 2022 | 17 | 2022 |
| The emergence of opinion leaders in online review communities Y Lu, K Jerath, PV Singh Management Science 59 (8), 1783, 2011 | 16 | 2011 |
| An examination of social comparison triggered by higher donation visibility over social media platforms X Tan, Y Lu, Y Tan | 13 | 2016 |
| Change, we can believe in: Examining spillover effect of content switching on live streaming platform K Zhao, Y Lu, Y Hu, Y Hong 39th International Conference on Information Systems, ICIS 2018, 2018 | 6 | 2018 |
| Graph neural network for customer engagement prediction on social media platforms T Ma, Y Hu, Y Lu, S Bhattacharyya | 5 | 2021 |
| How to retain smart customers in crowdsourcing efforts? A dynamic structural analysis of crowdsourcing customer support and ideation Y Lu, PV Singh, K Srinivasan Conference of Information Systems and Technology, Charlotte, 2011 | 5 | 2011 |
| Learning from Peers on Social Media Platforms Y Lu, P Singh, B Sun | 5 | 2011 |
| Customer engagement prediction on social media: A graph neural network method T Ma, Y Hu, Y Lu, S Bhattacharyya Information Systems Research, 2024 | 3 | 2024 |
| The role of data‐based intelligence and experience on time efficiency of taxi drivers: An empirical investigation using large‐scale sensor data Y Lu, Y Wang, Y Chen, Y Xiong Production and Operations Management 32 (11), 3665-3682, 2023 | 3 | 2023 |
| Change, we can believe in: Examining spillover effect of content Switch on live streaming platform K Zhao, Y Hu, Y Lu, K Hong | 3 | 2018 |
| Is it that You Can’t Learn, or You Won’t Learn? Technology-Enabled Monitoring and Heterogeneity in Sales Performance Y Lu, I Bellos, BN Greenwood, L Huang Technology-Enabled Monitoring and Heterogeneity in Sales Performance (April …, 2024 | 2 | 2024 |
| Can Providing Algorithmic Performance Information Facilitate Humans’ Inventory Ordering Behaviors? Y Lu, X Luo, L Huang, D Wang Available at SSRN 4278773, 2022 | 2 | 2022 |
| Group size, content moderators, and user engagement in online synchronous content platforms: Evidence from live streaming K Zhao, Y Hong, T Ma, Y Lu, Y Hu Content Moderators, and User Engagement in Online Synchronous Content …, 2021 | 2 | 2021 |
| Group Size, Content Moderators, and User Engagement in Online Synchronous Content Platforms K Zhao, Y Hong, T Ma, Y Lu, Y Hu Content Moderators, and User Engagement in Online Synchronous Content …, 2021 | 2 | 2021 |
