IMPROVING PROJECT RISK MANAGEMENT IN THE CONTEXT OF ORGANIZATIONAL DIGITAL TRANSFORMATION

Abstract

Digital transformation is significantly changing the conditions under which projects are implemented and the approaches used to manage project risks. The use of data analytics, digital platforms, automated systems, and artificial intelligence expands the possibilities for early risk identification and assessment, while simultaneously creating new technological, informational, and organizational threats. The purpose of this study is to develop conceptual proposals for improving project risk management through the integration of digital monitoring, data analytics, and professional managerial judgment. The methodological basis of the study includes analysis and synthesis of scientific literature, comparative analysis, systematization, and conceptual modelling. As a result, an adaptive digital mechanism for project risk management is proposed, based on the continuous interaction of data, risk assessment, forecasting, managerial decision-making, monitoring, and subsequent adjustment. The study concludes that project risk management should move from predominantly periodic control towards a more dynamic and proactive approach while preserving the decisive role of professional judgment by the project manager.