Topic Prevalence and Reuse in an Open Innovation Community

4 Pages Posted: 28 Jun 2016

See all articles by Pinar Ozturk

Pinar Ozturk

Stevens Institute of Technology - School of Business

Yue Han

Stevens Institute of Technology - School of Business

W. Ben Towne

Carnegie Mellon University

Jeffrey V. Nickerson

Stevens Institute of Technology - School of Business

Date Written: 2016

Abstract

In open innovation communities, concepts and topics get reused, combined and modified by many participants. In this paper, we utilize Wikipedia category structure as our ontology to automatically identify the topics covered in Climate CoLab contest proposals with the aim of better understanding how topic prevalence affects reuse and contest success. The general finding, based on analysis of the Climate CoLab contest proposals in 2015, is that while proposals that have more prevalent topics are more likely to be reused, they are are less likely to advance to semifinalist status. These findings provide insights to knowledge reuse and intelligence evolution in open innovation communities and provide ways to improve future open innovation community designs.

Keywords: Knowledge reuse, Topic Prevalence, Online community, Wikipedia, Ontology

Suggested Citation

Ozturk, Pinar and Han, Yue and Towne, W. Ben and Nickerson, Jeffrey V., Topic Prevalence and Reuse in an Open Innovation Community (2016). Collective Intelligence 2016, Stevens Institute of Technology School of Business Research Paper No. 2801285, Available at SSRN: https://ssrn.com/abstract=2801285

Pinar Ozturk (Contact Author)

Stevens Institute of Technology - School of Business ( email )

Hoboken, NJ 07030
United States

Yue Han

Stevens Institute of Technology - School of Business ( email )

Hoboken, NJ 07030
United States

W. Ben Towne

Carnegie Mellon University ( email )

Pittsburgh, PA 15213-3890
United States

Jeffrey V. Nickerson

Stevens Institute of Technology - School of Business ( email )

Hoboken, NJ 07030
United States

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