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Knowledge matching in the technology outsourcing context of online innovation intermediaries
Authors:Andy Dong  Morteza Pourmohamadi
Affiliation:1. Faculty of Engineering and Information Technologies, University of Sydney, Sydney, Australiaandy.dong@sydney.edu.au;3. Faculty of Engineering and Information Technologies, University of Sydney, Sydney, Australia
Abstract:This paper focuses on innovation matchmaking by online innovation intermediaries that operate as technology outsourcing services. These services connect employers wishing to commission individuals to complete technical activities to individuals with knowledge to undertake the project. We present three new metrics based on the statistical mechanics of complex networks to assess forms of knowledge matches between the knowledge required by employers’ projects and the knowledge offered by service providers. Based upon the results, we identify several challenges open innovation intermediaries, employers, and providers face: structuring knowledge to identify providers who can provide solutions beyond the immediate exigencies of the problem, choosing a provider among many potential matches, and choosing an online innovation intermediary when several suitable alternatives exist. The metrics provide insight into potential solutions to these challenges. We conclude with recommendations to improve the service offerings of online innovation intermediaries.
Keywords:open innovation  Internet freelancing  knowledge networks  complex networks
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