Self-management and time management of public servants in the context of the digitalization of treasury processes

The article examines self-management and the organization of working time among public servants amid the digital transformation of treasury processes. The study’s relevance stems from the growing use of electronic document management, digital communication channels, automated systems, and artificial intelligence, which speed up work while increasing information flows and the need for continuous attention. The research aims to substantiate approaches to digital self-management and develop a model of professional self-organization for public servants. Digital self-management is considered an integrated system for managing time, professional tasks, information, attention, and digital resources. The study develops an author’s seven-stage model covering task recording, classification, prioritization, planning, execution, monitoring, and self-reflection. The model is supplemented by a task-priority index that considers urgency, importance, risk, and strategic significance. The study supports the practical value of time blocking and digital planning tools for reducing unnecessary task switching and improving control over working time. The study focuses on digital competencies, information hygiene, and attention management as conditions for effective self-organization in a digitally intensive workplace. The study considers how artificial intelligence can structure information, classify tasks, automate repetitive operations, prepare analytical materials, and support planning. The study emphasizes a human-centered approach, in which digital technologies complement professional capabilities but do not replace human judgment, responsibility, or final decision-making. The study also considers organizational conditions such as system integration, rational communication, and workload optimization. The proposed model and self-diagnosis indicators can serve as a basis for improving activity and further empirical assessment of digital self-management among public servants. Keywords: self-management, time management, digitalization, digital self-management, public servant, treasury processes, working time, digital competencies, artificial intelligence.