Exploring long-term academic engagement between firms and university scientists, within engineering sciences
This Ph.D. dissertation explores the long-term attributes of academic engagement between firms and university scientists within engineering sciences, by using quantitative methods to explore the antecedents and outcomes of knowledge networks. The purpose is to explain why specific individuals, working respectively in firms/universities, continue to interact with each other at the individual level – and at the level of the respective organization - over a longer period of time, and what implications that has. The reason for explicitly using knowledge networks (theory and methodology) is that they stress the importance of structure, nodes, and relational properties, which can be applied to the context of academic engagement.
Doctoral student: Viktor Ström
Supervisor: Maureen McKelvey
Assistant supervisor: Ethan Gifford