Decentralized data management as an innovative mechanism for the development of social and economic systems of enterprises.

Анотація

Subject of the study. Decentralized data management models and their impact on the economic performance, business processes, and innovation capacity of enterprises. The aim of the study. Scientific substantiation of the mechanisms and methodological approaches for assessing the economic impact of decentralized data management on enterprise operations, resource allocation, and strategic decision-making. Research methods. The study is based on methods of systemic and comparative analysis, structural-logical modeling, synthesis of open-source financial and operational data, and the development of integrated analytical frameworks for measuring transaction efficiency, process performance, and value creation. Results of the work. The article examines decentralized data governance frameworks based on blockchain, distributed ledger technology (DLT), Web3 platforms, edge computing, and AI-driven smart contracts. It has been substantiated that these technologies form a transparent, secure, and resilient information environment, reducing transaction costs, accelerating business processes, and enabling algorithmic trust. The research demonstrates that decentralized models transform enterprise economic activity by optimizing operational expenditures, enhancing transparency, and creating new models of governance and financing. The study provides an integrated system of indicators for evaluating economic effects, including metrics for transaction cost reduction, process efficiency, digital asset capitalization, and the establishment of digital trust. The research also identifies critical challenges and risks associated with the implementation of decentralized models, including technological integration, regulatory compliance, data privacy, and organizational readiness, which must be addressed to maximize economic and operational benefits. Practical significance. The results provide a methodological and analytical foundation for enterprises seeking to implement decentralized data management solutions to enhance operational efficiency, strengthen innovation capacity, and achieve long-term competitiveness. The study offers guidance for policymakers, managers, and researchers in designing, implementing, and evaluating advanced decentralized governance systems.

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