Knowledge matching in the technology outsourcing context of online innovation intermediaries

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.