Digitalization tools and methods in program and project management: analysis and authorial approach

In the context of rapid development of digital technologies and the increasing turbulence of the external environment, traditional approaches to program and project management demonstrate limitations: low flexibility, weak adaptability, and limited integration with digital platforms. The purpose of the study is to systematize the methodological foundations of program and project management digitalization and analyze the management models transformation in digital economy. It has been shown that the classical models (Waterfall, cascade, and hybrid) are effective only in a stable environment, but lose relevance when conditions are highly variable. Modern methodologies (Agile, Scrum, and Kanban) provide flexibility and iterativity, but require integration with digital tools. Special attention has been paid to business intelligence, collaboration systems, artificial intelligence technologies, and digital twins as key elements of digital management. The methodological basis of the study has been made up of systematic, functional-analytical, and comparative approaches, which made it possible to identify contradictions between traditional schemes and the digital environment requirements. It has been established that successful digitalization of program and project management involves proactive risk management, real-time monitoring of metrics, end-to-end transparency of processes, and adaptive management architecture. The study results can be used in developing conceptual models of digital program and project management, forming digital transformation strategies in government and corporate structures, as well as improving management practices in the face of constant change.

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