| Online product opinions: Incidence, evaluation, and evolution WW Moe, DA Schweidel Marketing Science 31 (3), 372-386, 2012 | 931 | 2012 |
| Uniting the tribes: Using text for marketing insight J Berger, A Humphreys, S Ludwig, WW Moe, O Netzer, DA Schweidel Journal of marketing 84 (1), 1-25, 2020 | 925 | 2020 |
| On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice R Peres, M Schreier, D Schweidel, A Sorescu International Journal of Research in Marketing 40 (2), 269-275, 2023 | 651 | 2023 |
| Listening in on social media: A joint model of sentiment and venue format choice DA Schweidel, WW Moe Journal of marketing research 51 (4), 387-402, 2014 | 546 | 2014 |
| Modeling the role of message content and influencers in social media rebroadcasting Y Zhang, WW Moe, DA Schweidel International Journal of Research in Marketing 34 (1), 100-119, 2017 | 285 | 2017 |
| Binge watching and advertising DA Schweidel, WW Moe Journal of marketing 80 (5), 1-19, 2016 | 283 | 2016 |
| Generative AI has an intellectual property problem G Appel, J Neelbauer, DA Schweidel Harvard Business Review 7, 2023 | 231 | 2023 |
| Blockchain meets marketing: Opportunities, threats, and avenues for future research R Peres, M Schreier, DA Schweidel, A Sorescu International Journal of Research in Marketing 40 (1), 1-11, 2023 | 222 | 2023 |
| Opportunities for innovation in social media analytics WW Moe, DA Schweidel Journal of product innovation management 34 (5), 697-702, 2017 | 189 | 2017 |
| Capturing marketing information to fuel growth RY Du, O Netzer, DA Schweidel, D Mitra Journal of Marketing 85 (1), 163-183, 2021 | 184 | 2021 |
| How consumer digital signals are reshaping the customer journey DA Schweidel, Y Bart, JJ Inman, AT Stephen, B Libai, M Andrews, ... Journal of the Academy of Marketing Science 50 (6), 1257-1276, 2022 | 173 | 2022 |
| Frontiers: Supporting content marketing with natural language generation M Reisenbichler, T Reutterer, DA Schweidel, D Dan Marketing Science 41 (3), 441-452, 2022 | 165 | 2022 |
| Understanding service retention within and across cohorts using limited information DA Schweidel, PS Fader, ET Bradlow Journal of Marketing 72 (1), 82-94, 2008 | 154 | 2008 |
| Incorporating direct marketing activity into latent attrition models DA Schweidel, G Knox Marketing Science 32 (3), 471-487, 2013 | 139 | 2013 |
| Television advertising and online word-of-mouth: An empirical investigation of social TV activity BL Fossen, DA Schweidel Marketing Science 36 (1), 105-123, 2017 | 126 | 2017 |
| Social media intelligence WW Moe, DA Schweidel Cambridge University Press, 2014 | 120 | 2014 |
| Modeling customer lifetimes with multiple causes of churn M Braun, DA Schweidel Marketing Science 30 (5), 881-902, 2011 | 120 | 2011 |
| Portfolio dynamics for customers of a multiservice provider DA Schweidel, ET Bradlow, PS Fader Management Science 57 (3), 471-486, 2011 | 118 | 2011 |
| What holds attention? Linguistic drivers of engagement J Berger, WW Moe, DA Schweidel Journal of Marketing 87 (5), 793-809, 2023 | 110 | 2023 |
| Social TV, advertising, and sales: Are social shows good for advertisers? BL Fossen, DA Schweidel Marketing science 38 (2), 274-295, 2019 | 102 | 2019 |
Beth FossenAssociate Professor of Marketing and Eli Lilly and Company Faculty Fellow, Indiana UniversityVerified email at indiana.edu
