OPM/ IS 910 Dr. Svenja Frieß – Ludwig-Maximilians-Universität München
Wir freuen uns sehr Dr. Svenja Frieß, Ludwig-Maximilians-Universität München, auf Einladung von Herrn Prof. Dr. Jens Förderer im Rahmen des CDSB-Seminars begrüßen zu dürfen.
Frau Dr. Svenja Frieß, Ludwig-Maximilians-Universität München, wird einen Vortrag zum Thema „Breaking The Ice: Can Early Peer Activity Enhance Platform Engagement And Persistence?“ halten.
Der Vortrag findet am Mittwoch, den 30.04., von 12:30 bis 13:30 Uhr im Raum O 148 statt.
Abstract
How does peers’ early behavior foster cohort integration and prime future user engagement on digital knowledge exchange platforms, amplifying positive externalities of contributions? We analyze data from 12,000+ professionals participating in online upskilling across 36 cohorts to comprehend user engagement regarding general cohort activities and directed interactions. Leveraging quasi-random variation in initial user behaviors, we find that users receiving early comments or likes are more likely to engage and persist later on. NLP analyses reveal that receiving ‘elaborating and agreeing’- comments has the largest positive effect on outcomes. We further show that observing high levels of early peer activity positively impacts focal users’ future engagement of the same type. Our results highlight the benefits of encouraging individual member reciprocity versus cultivating shared norms for cohort interactions.
Speaker Bio
Svenja Friess is a Postdoctoral Researcher at the Institute for Strategy, Technology, and Organization (ISTO) at LMU Munich. She holds a Ph.D. in Economics from LMU Munich, where she was supervised by Dietmar Harhoff and Florian Englmaier. During her doctoral studies, she was a visiting researcher at the Laboratory for Innovation Science at Harvard, supported by a Fulbright Scholarship. Svenja holds Bachelor & Master’s degrees from the University of Heidelberg and LMU, respectively.
Her research investigates the behavioral foundations of organizational and innovation processes, using primarily experimental and applied micro-econometric methods, complemented by text data methods. Currently, she studies behavioral drivers of collaboration in digital (platform) settings and competitive environments.