Quantitative assessment of large heterogeneous R&D networks: the case of process engineering in the Netherlands

Abstract

Large R&D networks are characterised by complexity. They are usually extremely heterogeneous in terms of their variety of interconnected institutions from both the public sector and private sector, and the various activities outcomes and effects which make up this web of relationships. Clearly, numerous analytical problems have to be faced when examining such a network's key characteristics and trying to establish its effectiveness. This article presents key results of an empirical case study aimed at analysing such an R&D network. The study deals with a nation-wide innovation-oriented network in the Netherlands in the field of process engineering, covering both Ph.D. training, R&D, and design activities. Relevant information about the network was derived from a combination of data extracted from an annual R&D report and opinions of network participants gathered through a subsequent mail survey. Various quantitative indicators were used to describe and compare institutional features of this cross-institutional network and determine the effectiveness of its bilateral links. On the whole, the results reveal a diversified, vigorous and fairly successful network. The network seems less effective in terms of technological development and innovation activities in comparison to knowledge creation and transfer.