Cluster Project Risk Control System

Abstract

Almost any organization can be exposed to risks in cluster interactions. The variety of external and internal factors leads to various adverse consequences. Today, many organizations involved in cooperation within cluster projects and interacting with external counterparties face a serious problem of how to increase the efficiency of their risk control systems. The aim of the research is to formulate and develop the approaches for monitoring the relationship of the cluster’s participants by interested parties on implementing regional cluster policies. The study addresses the development of methodical approaches for improving control measures to identify and manage the specific risks of a separate cluster when implementing regional cluster policy, changes in legislation and the current economic situation, and determination of factors influencing data validity and reliability. The article identifies individual risks of business cooperation projects, specifies methodical approaches for assessing counterparties, given the clarified data validity, and develops a roadmap to improve the control system in a problem solving format. The work has theoretical and practical significance for corporate and state control of cluster cooperation. The use of new control mechanisms and systems is sure to reduce negative impacts of cluster project risks.