АДАПТИВНА РАЦІОНАЛЬНІСТЬ В ЕПОХУ ГЛОБАЛЬНОЇ НЕСТАБІЛЬНОСТІ: СТАНОВЛЕННЯ ПОСТРАЦІОНАЛЬНОЇ ПАРАДИГМИ РОЗВИТКУ СОЦІАЛЬНО-ЕКОНОМІЧНИХ СИСТЕМ

Анотація

The growing instability of the global economic environment increasingly challenges the classical logic of economic rationality, grounded in optimization, predictability, and long-term planning. Under conditions of geopolitical turbulence, technological disruptions, military conflicts, and radical uncertainty, traditional strategic management approaches often prove insufficient to ensure organizational resilience and strategic continuity. The purpose of the article is to conceptualize adaptive rationality as a context-sensitive form of strategic behavior under instability and to substantiate the emergence of a post-rational development paradigm in which the viability of economic systems depends not primarily on optimization efficiency, but on behavioral flexibility and adaptive responsiveness. The methodological framework integrates behavioral strategy, bounded rationality, dynamic capabilities theory, resilience-oriented management, complexity theory, and real options logic. The study applies systems analysis, conceptual synthesis, comparative analysis, and exploratory interpretation of adaptive strategic behavior using examples from Ukrainian enterprises operating under wartime instability, particularly within the pharmaceutical sector. The results demonstrate that managerial decisions traditionally considered inefficient under classical optimization logic — including reserve capacity formation, supply chain diversification, duplication of logistical routes, and staged investment strategies — increasingly serve as mechanisms for preserving resilience under radical uncertainty. The study's scientific originality lies in the development of a multidimensional model of post-rational development of socio-economic systems, constructed through the interaction among environmental uncertainty, strategic flexibility, and behavioral adaptability. The study's practical significance lies in the potential to apply the proposed framework to design adaptive development strategies and to support managerial decision-making in unstable environments.

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