Institute of Economics and Industrial Engineering Siberian Branch of the Russian Academy of Sciences
Novosibirsk State University of Economics and Management
Novosibirsk, Novosibirsk, Russian Federation
Effective risk management needs new approaches to risk analysis, especially in multi-agent investment projects. The article focuses on cluster projects currently active in the Novosibirsk Region, as well as on specific financial risks that occur between interacting organizations of various ownership forms. The author studied the assessment methodology for risks that develop as a result of unreliable or incomplete information, violation of state subsidies, their repayment, etc. The analysis of Novosibirsk clusters involved the Kontur. Focus software. The proposed methods included defining key parameters of the control model, procedures for input reliability check, a diagnostic methodology for project members, and integrating the effectiveness of the cluster control system. These approaches and methods can be included in a new integrated approach to the mesolevel risk management of multi-agent cluster projects as part of state and corporate control.
reliability, control, cluster, cluster project, multi-agent investment project, risk
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