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Integrating Digitized Intelligent Systems into Green Children's Health Camp Infrastructure: A structural network analysis

Боҳодир ИсроиловDepartment of Financial analysis, Tashkent State University of Economics, Tashkent, UzbekistanMukhtasar ZiyayevaDepartment of Marketing, Tashkent State University of Economics, Tashkent, UzbekistanАзиза АзлароваBanking Department, Tashkent State University of Economics, Tashkent, UzbekistanМатлуба АбдурахмановаBanking Department, Tashkent State University of Economics, Tashkent, UzbekistanNigora BazarovaBanking Department, Tashkent State University of Economics, Tashkent, UzbekistanOlmos OchilovDepartment of Financial analysis, Tashkent State University of Economics, Tashkent, Uzbekistan
2025
ABI

Аннотация

Network dynamics and structural interdependencies make the case that systemic interventions informed by the connectivity patterns and relational positioning of infrastructure components are likely to have increased resilience, operational efficiency, and health outcomes. Digitized intelligent infrastructure provides a great opportunity for the development of eco-sustainable health camp environments, but it also brings many challenges in the process, of which the most important thing is the protection of children's digital and physical wellbeing. This study is aimed at analyzing the integration-related problems faced by emerging green children's health camps. Based on the structural network analysis and SEM-based path modeling, this paper designs a hybrid implementation model, which can better solve the problem of inefficient system coordination and resource misallocation. The benefits of smart health infrastructure digitization are high, especially in the context of lower institutional capacity which absorbs an unduly large share of maintenance and operational costs in developing camp settings. The results show that compared with that of traditional analog systems and that of standalone automation technology, the performance of intelligent network-integrated systems is generally better, with faster response rates, shorter installation cycles, higher data accuracy, and stronger adaptive capability. Finally, we identify directions for moving the field forward, including new research questions such as how relational positioning affects resource efficiency; understanding the mediating role of network centrality in system resilience; and investigating how smart eco-infrastructure applies to child-centered public health initiatives.

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