The adoption of knowledge integration mechanisms in an interdisciplinary research project

Purpose This paper studies knowledge integration mechanisms in an interdisciplinary research project. It develops the theoretical literature on the concept of knowledge integration, particularly the adoption of different organizational mechanisms. The research helps to explain how to adopt different integration mechanisms in the various steps of a typical university industry research project. Design/methodology/approach Our research relies on a case study. We used three data collection techniques: internal document analysis, observation/site visits and semi-structured interviews. Documentary analysis was used to understand the organizational structure and to identify knowledge integration issues. Observation and site visits at university research laboratories were used to increase understanding on particular issues. Staff interviewed included managers and academic researchers. Findings Findings are primarily related to a better understanding of choices of knowledge integration mechanisms in a university industry research project. A crucial aspect was the level of mutual understanding of specialist knowledge. When project members were derived from different sides of the University-Industry border, there was a major need for recurring to more structured knowledge integration mechanisms, even if the scientific background of participants was homogeneous. Originality/value Previous studies on the relationships between University and Industry deals with the issue of governing the knowledge exchange on the border at a macro level; conversely, an interesting research gap is represented by knowledge integration mechanisms to be deployed on the University-Industry border, especially at micro level. In our paper we do not cope explicitly with University-Industry coordination mechanisms, but we use the University-Industry border to study knowledge integration in interdisciplinary setting. The study is exploratory, which may be useful in generating future research hypotheses, connecting the features of research projects with the need to achieve knowledge integration.