USE OF DIGITAL TECHNOLOGIES FOR MAKING EMERGENCY MANAGEMENT DECISIONS IN CONDITIONS OF UNCERTAINTY

The development of digital technologies complicates decision-making in management. Traditional management methods often lack efficiency, necessitating digital tools to accelerate decision-making. This study analyzes the role of digital technologies in emergency decision-making under uncertainty. Using system analysis and modeling, it evaluates automated analytical systems, machine learning, blockchain, and digital platforms. Findings show that digital solutions improve decision speed. Automated systems enable rapid data processing, machine learning aids forecasting, and blockchain enhances security. Hybrid models combining traditional and digital approaches prove effective in uncertainty. The study’s practical value lies in integrating these technologies into IT sector management, improving decision quality, response time, and cybersecurity.