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Building Collaboration for a Smart and Green Regional Ecosystem: Insights from the Slovak Republic

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Computational Science and Its Applications – ICCSA 2023 Workshops (ICCSA 2023)

Abstract

The study investigates planned collaboration between local and regional stakeholders in the Slovak Republic, which we see as an essential base for smart and green regional ecosystem. The study uses case studies to examine the impact of the implemented solutions on the wider regional ecosystem and how stakeholders collaborate to achieve their goals. The authors argue that systematic and planned collaboration between stakeholders is essential for smart, green, and sustainable development of the region’s ecosystem. The study analyzes six cases between 2020 and 2023 and discusses the relationship between stakeholders, the characteristics of stakeholders, and the innovative solutions adopted to solve certain smart and green challenges in the region. The results show that collaboration between local and regional government, higher educational institutions, business, citizens and other stakeholders involved in the Smart city structure has resulted in the implementation of innovative solutions that promote sustainable and environmentally friendly practices, with positive impacts on both entities and the public. The study concludes that smart and green policies operate together and emphasizes the need for planned collaboration between regional stakeholders to address smart and green challenges in the territory.

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Acknowledgments

The article is created as a result of a project supported by the Scientific grant agency of the Ministry of Education, Science, Research and Sport of the Slovak Republic and the Slovak Academy of Sciences, Grant no: 1/0734/22.

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Mital’, O., Ručinská, S., Lukačínová, M., Fečko, M. (2023). Building Collaboration for a Smart and Green Regional Ecosystem: Insights from the Slovak Republic. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14105. Springer, Cham. https://doi.org/10.1007/978-3-031-37108-0_38

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  • DOI: https://doi.org/10.1007/978-3-031-37108-0_38

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