TIME MANAGEMENT EFFICIENCY AS A FACTOR OF ENTERPRISE COMPETITIVENESS IN THE ERA OF DIGITAL TRANSFORMATION
Abstract
The article explores implementing modern time management tools in business operations amidst digitalization and information overload. Efficiency depends on rational working time use; unstructured management decreases productivity, increases "work about work," and causes lost competitive advantages. Based on 2025–2026 industry reports (Microsoft, McKinsey, Deloitte), the study identifies key "time sinks" (ineffective communication, digital distractions, excessive meetings) impacting productive work. The research reveals the potential of AI Agentic Workflows and AI planners for optimizing routine operations and task management. Implementing AI solutions reduces time on repetitive tasks by 45–60%, reorienting human capital from operational activities to analytics, strategic planning, and innovation. Special attention is paid to the Eisenhower Matrix, time-tracking systems (e.g., Yaware), and the Pomodoro technique. The matrix redistributes tasks to reduce "urgent chaos" and shift focus toward strategic activities. Time-tracking is presented as an objective macro-analytical tool for identifying hidden time losses, determining real workday capacity, and preventing professional burnout. It is emphasized that time-monitoring must serve as a foundation for optimizing processes rather than a micro-management tool. The Pomodoro technique is examined through empirical research, confirming its positive impact on cognitive productivity, concentration, and mental fatigue resilience. The critical role of proper micro-breaks (brain reset) and the negative impact of digital stimuli during breaks are detailed. Recommendations are outlined regarding cyclic workday planning and managing "pomodoros" for deep work. A set of recommendations for enterprises is formulated: transitioning to intelligent agentic workflows; utilizing time-tracking as a macro-analytical tool; and implementing Deep Work protection strategies with structured communication protocols to minimize distractions. It is concluded that systemic time resource management, combining AI-oriented solutions with proven methodologies, is essential for increasing personnel productivity, resilience, and long-term competitiveness.
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