Start Date

14-12-2012 12:00 AM

Description

Innovation in open ecosystems such as open source software is characterized by generative diffusion, the property of such ecosystems to evolve and change over time through the actions of uncoordinated participants. In this research, we contend that existing models of diffusion are not adequate to capture the multi-faceted nature of generative diffusion. To address this challenge, we use concepts from biological sciences to propose a multi-dimensional perspective to study generative diffusion, and construct three metrics: proliferation,evolvability, and temporality. Further, we use techniques inspired by genetics to measure these constructs in the context of open source software. In this research in progress manuscript, we demonstrate the applicability of our work with one example of an open source software project. This study makes an immense contribution not only to the study of open innovation, but also makes a methodological contribution by introducing the use of evolutionary genetics to study digital artifacts.

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Dec 14th, 12:00 AM

Generative Diffusion of Innovations: An Organizational Genetics Approach

Innovation in open ecosystems such as open source software is characterized by generative diffusion, the property of such ecosystems to evolve and change over time through the actions of uncoordinated participants. In this research, we contend that existing models of diffusion are not adequate to capture the multi-faceted nature of generative diffusion. To address this challenge, we use concepts from biological sciences to propose a multi-dimensional perspective to study generative diffusion, and construct three metrics: proliferation,evolvability, and temporality. Further, we use techniques inspired by genetics to measure these constructs in the context of open source software. In this research in progress manuscript, we demonstrate the applicability of our work with one example of an open source software project. This study makes an immense contribution not only to the study of open innovation, but also makes a methodological contribution by introducing the use of evolutionary genetics to study digital artifacts.