Open AccessManagement of Cluster-Network Structures Sustainable Development
Author(s) -
Любовь Владимировна Салова
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/753/5/052061
Subject(s) - shipbuilding , cluster (spacecraft) , cluster analysis , sustainable development , process management , computer science , cluster development , business cluster , process (computing) , business , industrial organization , operations research , knowledge management , operations management , risk analysis (engineering) , engineering , artificial intelligence , geography , political science , mechanism (biology) , mechanical engineering , philosophy , archaeology , epistemology , law , programming language , work (physics) , operating system
The article concentrates on development of methodological tools for creating a model of cluster structures sustainable development in shipbuilding of Russia through the example of the shipbuilding cluster of the Primorye Territory. The proposed tools can complement the existing methods for clustering industries and regions in business processes scientific and professional sphere. The proposed method of assessing regional economic system availability for clustering and algorithm for its implementation allowed to identify risks and limitations of the regional shipbuilding cluster sustainable development. The results of the research are: allocation of target structure on the cluster strategic map in terms of a balanced system of indicators, manifestation of in-system characteristics of the cluster structure model, definition of key directions for development of cooperation and collaboration relations. Further, the prerequisites were established for development of network interaction, cooperation and collaboration between the participants of the shipbuilding cluster and the parties involved in Russia and Asia-Pacific countries. The author’s contribution to the development of scientific knowledge in problems of clustering and professional sphere is formulation and manifestation of in-system components of cluster structure business model, initiation of target structure of their statistical, controlling, dynamic and predictive changes, which makes it possible to form monitoring systems at the stages of a cluster life cycle and ensure timely managerial action. The approach proposed by the author allows to reduce risks of uprising institutional trap and management disorders in the decisionmaking process on cluster-network structures establishment and functioning.