The 4 fields of Innovation diffusion [I], networking [N], learning [L], and sustainable production [SP] have been linked and a model produced to assess this interaction. Literature surveys and practical experiences in each of the areas led to the production of almost 60 rules pertaining to the above. From these, 24 core rules (6 each from the 4 areas) were distilled. The rules were applied to 12 practical regional networks and methodologies for analysing the networks on the basis of the rules devised. For each of these rules a scoring system was devised, whereby networks could be evaluated in accordance with how well the rule applied. The results were colour-coded to give the Four Colour Matrix. This is considered by the INNET project team as one of the most important outputs of the project.
We contend that this method gives an immediate overview of the situation in each network. This is a new and potentially important and radical development. A further analysis technique was the use of Spider Webs, based on identified important parameters. This analysis allowed identification of network weak spots, which could facilitate intervention potentials. The Spider Web analysis was further reinforced by use of a SWOT analysis for each network. 12 networks were analysed. Resulting weaknesses and strengths allowed choice of intervention strategies for work with these networks. An understanding of local phenomena, and an in-depth appreciation of the networks meant that a certain amount of intuition was also needed to determine the best form of intervention.
The overall result was the formulation of a holistic theory to link regional networks, learning, innovation diffusion, and sustainable production in an analytical framework that can form the basis for future work and can be of benefit to practitioners. The result has partially been disseminated at the 7th and 8th European Roundtables on Cleaner Production (Lund, Sweden, May 2001 and Cork, Ireland, October 2002 respectively). A special issue of the Journal of Cleaner Production will be devoted to the project results, and this will facilitate greater dissemination to experts and practitioners. The project partners will continue to work with the model and tools, and have already begun to do so.