Received 20.08.2021, Revised 02.11.2021, Accepted 03.12.2021
Standard approaches to managing projects and programs for the reconstruction of engineering infrastructure in a turbulent environment are ineffective due to the lack of possibilities to adapt to external and internal influences. Therefore, the purpose of the article was to characterize the application of the conception of adaptivity in managing such projects and programs and to analyse the means for its application in management processes. The research presented in this article was conducted using scientific methods of critical analysis, systems analysis, mathematical modelling, formalization, analysis, synthesis, graphical and abstract-logical methods. The main constraints in the development of the program architecture were identified. The influence of the application of the standard approach to planning and managing programs and projects for the reconstruction of engineering infrastructure on the increase of the probability of risk emergence was investigated. The tasks of managing programs and projects in the implementation of management as the manifestation of control action were formulated. The concepts of active and passive methods of adaptive program management were considered, a combined method that involves preliminary modelling of managerial influences and learning from the experience of exerting such control actions was developed. The means of adaptive program management were analysed, the expediency of their use in the management of programs for the reconstruction of engineering infrastructure at different stages of their implementation was determined. The results of the study can be used by managers of programs and projects for the reconstruction or modernization of engineering infrastructure to determine approaches to management and selection of adaptive management tools for different phases of implementation, and also provide a methodological basis for further research
organizational and technical systems, control action, risks, architecture planning, forecasting
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