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Assesses R&D potential in industrial parks, indicating pathways for strategic recovery.
The subject of this research is the methodological framework for evaluating the multi-dimensional performance of industrial parks (IPs). The focus is on R&D potential and the Quadruple Helix (QH) governance model. The present study explores how such institutional structures in transitional economies can be optimised to foster strategic resilience and structural transformation during post-war recovery. Methodology. The study employs a hybrid Multi-Criteria Decision-Making (MCDM) approach grounded in the OPERRA framework (Operational Performance, Plug-and-Play Readiness, Economic Vibrancy, Risk and Security Management, Resource and Climate Resilience, and Social and ESG Adaptation). The assessment combines the Analytic Hierarchy Process (AHP) for rigorous criteria weighting and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to benchmark industrial ecosystems against ideal operational profiles. The purpose of the research is to establish a comprehensive rating methodology that mitigates information asymmetry in the investment market. The study proposes a verified signalling mechanism as a means of distinguishing high-performing innovation hubs from non-functional "paper parks", with a view to optimising state support and attracting long-term foreign direct investment (FDI). The research concludes that the viability of industrial parks in transitional settings is contingent on their evolution from passive land plots into integrated innovation ecosystems. The QH model is a governance logic that is necessary to ensure societal alignment and knowledge co-creation. The operationalisation of strategic resilience is to be achieved through dual-use infrastructure and climate adaptation metrics. Furthermore, a robust rating system functions as a narrative device that facilitates a shift in investor perception from "war-related risk" to "institutional opportunity".
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Anton Andriienko (2026) studied this question.
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