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Many firms increasingly collaborate with universities to create innovation through the commercialization of scientific knowledge. However, a variety of mismatches between a firm's interests and the value delivered by university partners (e.g., common knowledge base, strategic goals, agreements on intellectual property management, etc.) can cause rough interactions and relationships. Therefore, managers demand an effective practice to support the management of university-industry collaborations (UICs). This article builds on the previous work on a matching quality assessment model by extending its applicability to propose an analytical framework for developing a strategic roadmap to guide relationship development toward effective UIC. [ABSTRACT FROM AUTHOR]

Firms engaged in university–industry collaboration (UIC) desire to advance knowledge and new technologies with their academic partners, however the performance of knowledge creation and transfer is greatly affected by complementarity and compatibility between the firm and academic institute. In practice, many firms assess the appropriateness of academic partners using a broad range of criteria, with high subjectivity. This paper therefore seeks to address this challenge by introducing a systematic approach to help firms determine the appropriateness of academic partners, represented as “matching quality” in this paper. Three facets of matching quality are examined: complementarity of research ability, compatibility in business mindset, and compatibility in relationships. This paper proposes a framework and model for assessing matching quality, along with a case study to demonstrate how the proposed model works. [ABSTRACT FROM AUTHOR]