Language of the original article: EnglishABSTRACT. Crisis management is an integral part of ensuring economic security in volatile market conditions. The growing complexity of economic challenges necessitates the development of innovative approaches that enhance resilience and adaptability. This article examines theoretical and practical aspects of innovative crisis management strategies within the framework of balanced economic security. The study identifies key mechanisms of crisis management, evaluates their impact on financial stability, and explores the role of digitalization and financial innovation in mitigating economic risks. Based on recent research and case studies, this article contributes to the academic discourse on sustainable economic resilience by proposing a structured approach to integrating crisis response strategies into corporate and national economic frameworks. The findings underscore the necessity of financial flexibility, strategic adaptation, and technological integration in contemporary crisis management. Furthermore, the research methodology employed in this study includes a systematic review of recent academic publications, case study analysis of crisis management applications, and a comparative approach to evaluating financial and digital innovation strategies. The scientific novelty of this article lies in the identification of specific technological advancements, such as artificial intelligence (AI) and blockchain, as key components in modern crisis management frameworks. This study not only consolidates existing research but also proposes a forward-looking model that integrates these innovations into corporate and national security policies. The practical significance of this research extends to policymakers, corporate executives, and financial institutions, providing them with actionable insights into implementing resilient economic security strategies.
Keywords: crisis management, economic security, strategic resilience, financial stability, digital transformation, innovation, artificial intelligence, blockchain, risk assessment.
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