Abstract
Designing Knowledge Supply Networks (KSN) with universities and research institutes has become a key source of technological innovations in Mainland China. In order to explore the key design principles, we first present typologies within KSN and explain the factors that can push, guide, or support the innovation process in such a network. Second, we identify and classify the particular risks that prevail when KSN are designed in an emerging region. To assess these risks, we next propose an advanced method that takes into consideration typical problems in group decision-making processes by applying linguistic operators derived from the field of decision theory and fuzzy-sets theory. The risk evaluation method is illustrated with a case study. Fourth, we offer advice on the mitigation of risks in KSN. Finally, we provide insights into the implementation of the risk evaluation method and its automation using Stakeholder Information Systems.
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