Formation of Organizational Change Management Strategies Based on Fuzzy Set Methods

Change management is an urgent requirement for the successful functioning of an enterprise, and the search for change factors is an urgent scientific task. The toolkit of the fuzzy set method is used in the work to identify and justify change management strategies, considering the degree of development and the financial state of the organization at any moment in time. The model includes factors that describe the flexibility of the management system, the efficiency of operations, the enterprise’s activity on the market, and its ability to adapt to market conditions. The factors “rigidity-flexibility of the management system”, “market position—the ratio of the company’s market share to the market share of the largest competitor”, “production efficiency—profitability of production activities” and “level of adaptability” were selected for evaluation. Combinations of these factors can affect the success of the strategy and the ability of the organization to implement changes. Modeling was carried out based on data from a sample of Ukrainian construction enterprises during 2007–2020. The constructed system of fuzzy rules based on the model of the artificial intelligence system makes it possible to evaluate the processes and factors that are key to the formation of change management strategies and allows for multi-level classification of success factors. The developed method reflects the internal connections between the components of the artificial intelligence system. The results of this study can be used to further improve the knowledge and skills necessary for the successful implementation of change management.