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Applying Elinor Ostrom's Rule Classification Framework to the Analysis of Open Source Software Commons

Charles M. Schweik, University of Massachusetts - Amherst
Meelis Kitsing, University of Massachusetts - Amherst

Abstract

This research investigates the utility of Ostrom and Crawford’s rule classification framework (elaborated in Understanding Institutional Diversity) in the systematic study of rule systems in a set of relatively complex open source projects and their overarching non-profit foundation. Using this framework, rule configurations are described for the overall Open Source Geospatial Foundation and for each of seven associated geospatial projects.

Suggested Citation

Charles M. Schweik and Meelis Kitsing. "Applying Elinor Ostrom's Rule Classification Framework to the Analysis of Open Source Software Commons" Transnational Corporations Review 2.1 (2010): 13-26.