| 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 | 136 | 2013 |
| Everyone can be a star: Quantifying grassroots online sellers’ live streaming effects on product sales C Chen, Y Hu, Y Lu, Y Hong | 69 | 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 | 59 | 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 | 26 | 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 | 26 | 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 | 17 | 2019 |
| The emergence of opinion leaders in online review communities Y Lu, K Jerath, PV Singh Management Science, forthcoming, 2011 | 16 | 2011 |
| An examination of social comparison triggered by higher donation visibility over social media platforms X Tan, Y Lu, Y Tan | 11 | 2016 |
| Learning from Peers on Social Media Platforms Y Lu, P Singh, B Sun | 6 | 2011 |
| MICROBLOGGING REPLIES AND OPINION POLARIZATION: A NATURAL EXPERIMENT. Y Lu, J Wu, Y Tan, J Chen MIS Quarterly 46 (4), 2022 | 5 | 2022 |
| Graph neural network for customer engagement prediction on social media platforms T Ma, Y Hu, Y Lu, S Bhattacharyya | 5 | 2021 |
| 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 | 5 | 2018 |
| 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 |
| 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 | 3 | 2021 |
| 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 |
| 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, Forthcoming, 2012 | 3 | 2012 |
| Learning from Project Failure in Kickstarter X Tan, Y Lu, L Hao, Y Tan | 2 | 2017 |
| What Makes Video Ads Viral: Quantifying the Impact of Marketer-and User-Generated Content C Deng, Y Lu, T Ravichandran, X He | 2 | 2016 |
| Machine learning approaches to understand IT outsourcing portfolios Y Lu, A Susarla, K Ravindran, D Mani Electronic Commerce Research, 1-31, 2023 | 1 | 2023 |
| 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 …, 2022 | 1 | 2022 |
