Search for scientific and technical competencies using the methods of intellectual text analysis to form a community of solution providers in the field of open innovation
In the last decade, a new industry of service providers has emerged that helps companies to realize scientific and technical projects using the methodology of open innovation. Special group of them are so-called «accelerators of open innovation» (AOI), which bring benefits for clients by connecting external partners (or solution providers) to all stages of an innovative project. The activities of such specialized structures are based on the joint application of modern digital technologies and the methodology of crowdsourcing. The size of the AOI’ solution providers community is considered as one of the critical factor that determines the effectiveness of the AOI and its competitiveness. The authors suggest an approach for the formation of a solution providers community based on automating the search for scientific and technical competences of personalities on the basis of the analysis of the initial scientific and technical problem using methods of semantic data analysis. The paper describes the architecture and functions of software designed to search information on solution providers and AOI’ business process automation
Keywords: open innovations, semantic data analysis, crowdsourcing, solution providers, technology scouting
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