A Relational View Of Platform Ecosystems: Linking The Structure And Content Of Firms' And Stakeholders' Interactions To Generativity

Christina Kyprianou, Assistant Professor, Clemson University
Chaired by
Dr LIM Shi Ying, Assistant Professor, School of Computing

  22 Mar 2019 Friday, 10:30 AM to 12:00 PM

 Executive Classroom, COM2-04-02


Both strategy and information systems scholars have recognized generativity, a system's capacity to self-sustain value creation and innovation, as a desirable property of platform ecosystems. Traditionally viewed as the outcome of technological choices that support ecosystem participants' unprompted contributions to value cocreation, ecosystem generativity has been recently reframed as a socio-technical construct, which recognizes both the platform technology's architecture and the social interactions it enables. Yet, existing research has not systematically examined the links between ecosystem participants' social interactions and the ecosystem's level of generativity. We pursue this research opportunity by examining the structure and content of interactions occurring on Twitter in four peer-to-peer platform ecosystems in the context of the sharing economy. Through quantitative and qualitative analyses, we develop a measure for generativity and testable propositions on the relationship between the structure or content of interactions in the ecosystem, and the ecosystem's level of generativity. Our work demonstrates several opportunities for future research on the micro-foundations of platform strategy and value cocreation as well as the phenomenon of the sharing economy.


Christina Kyprianou is an Assistant Professor of Management at Clemson University. She earned a Ph.D. in Strategic Management from the University of Texas-Austin. Christina's research examines strategy making in entrepreneurial firms. Her current work is inspired by the sharing economy and the entrepreneurial strategies that nascent peer-to-peer marketplaces pursue to build two-sided networks. Her dissertation on this topic was a finalist for the 2017 Technology and Innovation Management dissertation award in the Academy of Management. Her other research projects study entrepreneurial firms' strategic use of language and its role in resource acquisition and development. She is enthusiastic about inductive, theory building studies using qualitative data as well as content analysis and text mining techniques. She has published her work in the Academy of Management Discoveries journal, and frequently presents her work at premier academic conferences such the Academy of Management, and the Strategic Management Society conferences.