About Cooperation, Selfishness and Joint Risks in Clusters

This study introduces an entirely novel way to study the cooperative and noncooperative nature of clusters by looking at the selfish, profit-seeking interests of the actors within cluster initiatives. The approach provides a game theory inspired framework to study the dilemma of cluster actors between the fruitful cooperation with other actors and their own selfish – and possibly short-term – interests at three levels: intensity focussing on the overall cooperation effort; structure looking at the network of cooperation and balance discussing good ways to allocate resources. Characteristic models of cluster behaviour have been developed for all these aspects. Interviews have been conducted among cluster actors of two cluster initiatives. Both were quite matured and well managed with similar core objectives. The methodology applied has revealed that the nature of cooperation among the actors and how the cluster initiative is managed is of surprisingly different nature although both cluster initiatives provide high added value by the cluster actors perspective. One cluster initiative can be characterised as a “managed cooperation cluster”, where the management has a central role to match actors, while the nature of the other cluster initiative is more “a peer-to-peer cooperation cluster” where cooperation emerges directly between cluster actors and the cluster management has another role. The results of the study lead to conclusions that there is not one ideal way how to manage cluster initiative. Furthermore the cluster actors cannot be seen as a homogenous group. Even if all of them have similar objectives like increased innovation capabilities, higher competitiveness, higher profitability etc. their intension why joining a cluster initiative and the readiness to contribute or just to benefit is very different. The cluster management has to understand what are the particular interests and to what extent a dedicated cluster is ready to contribute. Applying the game theory inspired analytical approach helps to ...