Francisco Polidoro, from McCombs School of Business, will present "Porting Learning from Interdependencies Back Home: Performance Implications of Multihoming for Complementors in Platform Ecosystems".

Recognizing the role of complementors in creating value in interdependent platform ecosystems, strategy research has recently started to examine performance heterogeneity across complementors. However, research thus far has focused on the performance implications of dynamics unfolding within a particular ecosystem. We take a step toward exploring influences that arise beyond the focal ecosystem by focusing conceptually on multihoming. We argue that multihoming to another platform produces learning benefits that enhance a complementor’s performance on the home platform, especially when dealing with a high level of interdependencies and having greater similarity to other complements. We find supportive evidence in our analysis of open-source software platforms between 2012 and 2018 and discuss implications for research on platform ecosystems, multihoming, and open-source software.