Optimization of Integral Knowledge, Innovation and Technologies Cluster Structure
Keywords:
The cluster of knowledge, innovation and technologies, the structure of cluster, technologies of the complex system, universally sustainable developmentAbstract
The paper describes the search for an answer to the question – how the structure of knowledge, innovation and technologies’ cluster should be formed, when the structure is understood as a set of interacting components of the system and when the object or even functions of the cluster change from being a resource for the object, process or system development, the cluster further becomes the technology of adaptive complex system. The authors synthesize the existing opinions and also reveal their own opinion about the possibility to reveal the interaction among knowledge, innovation and technologies in the context of value creation or resource management, when the object of the cluster becomes the project of country universally sustainable development. In turn, the cluster will be perceived as the sum total of subjects, the main functions of which are intended for the cognition and realization of management possibilities of certain object, process or system. This paper presents the original evaluation performed by the authors in order to optimally allocate the investment resources for knowledge, innovation and technologies among distinctive subsystems of universally sustainable development, as well as to optimally allocate the investment resources inside the cluster among the creation and development of knowledge, innovation and technologies. Using the possibilities of stochastic informative expertise, the experimental distribution of the marginal unit among the components of universally sustainable development has been carried out, which would give the maximum growth of country sustainability index, measuring it by the adequate composition of development components, and experimental distribution of the marginal unit in the cluster among knowledge, innovation and technologies would give the maximum growth of cluster integral functionality.
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