Analytical limitations of traditional management and an adaptive decision support model in innovative IT projects
DOI:
https://doi.org/10.31558/2307-2318.2026.1.23Keywords:
innovative IT projects, traditional management approaches, analytical limitations, managerial decision support, adaptive model, digitalization, risk analytics, data integrationAbstract
The article examines the analytical limitations of traditional approaches to managing innovative IT projects in the context of digitalization. It is substantiated that classical management models, despite their structured nature and procedural clarity, do not ensure a sufficient level of adaptability in an environment characterized by high dynamics, uncertainty, and multifactor interaction. It is determined that the key limitations include the reactive nature of the management cycle, data fragmentation, the discrete character of risk analytics, and the absence of a mechanism for systematic analytical learning based on the outcomes of previous decisions. On this basis, an adaptive decision support model is proposed. The model provides for continuous monitoring, integration of heterogeneous information flows, identification of weak signals, and the use of a feedback analytical loop. The proposed approach is aimed at improving the quality, speed, and validity of managerial decisions in innovative IT projects of enterprises.
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