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A Proposed Model for Measuring Performance of the University-Industry Collaboration in Open Innovation

Draghici Anca (), Larisa Ivascu (), Adrian Mateescu and George Draghici
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Adrian Mateescu: Politehnica University Timisoara, Romania
George Draghici: Politehnica University Timisoara, Romania

International Journal of Management, Knowledge and Learning, 2017, vol. 6, issue 1, 53-76

Abstract: The paper aims to present a scientific approach to the creation, testing and validation of a model for performance measurement for university-industry collaboration (UIC). The main idea of the design process is to capitalize on existing success factors, facilitators and opportunities (motivation factors, knowledge transfer channels and identified benefits) and to diminish or avoid potential threats and barriers that might interfere with such collaborations. The main purpose of the applied methodology is to identify solutions and measures to overcome the disadvantages, conflicts or risk issues and to facilitate the open innovation of industrial companies and universities. The methodology adopted was differentiated by two perspectives: (1) a business model reflecting the university perspective along with an inventory of key performance indicators (KPIs); (2) a performance measurement model (including performance criteria and indicators) and an associated methodology (assimilated to an audit) that could help companies increase collaboration with universities in the context of open innovation. In addition, in order to operationalize the proposed model (facilitating practical implementation), an Excel tool has been created to help identifying potential sources of innovation. The main contributions of the research concern the expansion of UICs knowledge to enhance open innovation and to define an effective performance measurement model and instrument (tested and validated by a case study) for companies.

Keywords: university; industry; collaboration; knowledge management; performance model (search for similar items in EconPapers)
Date: 2017
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