Prof. Dr. Andreas Lanz

Goldenberg, Jacob, Lanz, Andreas, Shapira, Daniel, & Stahl, Florian. (2024). Targeting Nearby Influencers: the Acceleration of Natural Triadic Closure by Leveraging Interconnectors [Journal-article]. Journal of Marketing, 88(5), 111–130. https://doi.org/10.1177/00222429231223420

Beichert, Maximilian, Bayerl, Andreas, Goldenberg, Jacob, & Lanz, Andreas. (2024). Revenue Generation through Influencer Marketing [Journal-article]. Journal of Marketing, 88(4), 40–63. https://doi.org/10.1177/00222429231217471

Lanz, Andreas, Goldenberg, Jacob, Shapira, Daniel, & Stahl, Florian. (2024). Buying Future Endorsements from Prospective Influencers on User-Generated Content Platforms [Journal-article]. Journal of Marketing Research, 61(5), 839–857. https://doi.org/10.1177/00222437231207323

Libai, Barak, Rosario, Ana Babic, Beichert, Maximilian, Donkers, Bas, Haenlein, Michael, Hofstetter, Reto, Kannan, P. K., van der Lans, Ralf, Lanz, Andreas, Li, H. Alice, Mayzlin, Dina, Muller, Eitan, Shapira, Daniel, Yang, Jeremy, & Zhang, Lingling. (2024). Influencer Marketing Unlocked: Understanding the Value Chains Driving the Creator Economy. Journal of the Academy of Marketing Science.

Pethig, Florian, Hoehle, Hartmut, Hui, Kai-Lung, & Lanz, Andreas. (2024). Behavior Toward Newcomers and Contributions to Online Communities [Journal-article]. MIS Quarterly. https://doi.org/10.25300/misq/2024/17759

Weiler, M., Stolz, S., Lanz, A., Schlereth, C., & Hinz, O. (2022). Social Capital Accumulation through Social Media Networks: Evidence from a Randomized Field Experiment and Individual-Level Panel Data [Journal-article]. MIS Quarterly, 46(2), 771–812. https://doi.org/10.25300/misq/2022/16451

Lanz, Andreas, Reich, Gregor, & Wilms, Ole. (2022). Adaptive grids for the estimation of dynamic models. Quantitative Marketing and Economics, 20, 179–238. https://doi.org/10.1007/s11129-022-09252-7

Lanz, Andreas, Goldenberg, Jacob, Shapira, Daniel, & Stahl, Florian. (2019). Climb or Jump: Status-Based Seeding in User-Generated Content Networks. Journal of Marketing Research, 56(3), 361–378. https://doi.org/10.1177/0022243718824081