OPTIMIZING ART PARK CLUSTER DEVELOPMENT IN SOUTH KOREA THROUGH STRATEGIC RESOURCE MANAGEMENT AND INNOVATION

Abstract

This study examines the development of Art Park Clusters in South Korea by exploring the interactions between resource management strategies, technological innovations, stakeholder participation, and policy oversight. The research adopts a mixed-methods approach, utilising quantitative techniques through Python and R alongside qualitative analysis via NVivo. Data were collected through a structured questionnaire administered to 200 participants, and interview transcripts were analysed using thematic coding to capture stakeholder insights. Analytical procedures included regression analysis, K-Means clustering, and correlation matrices, while NVivo facilitated both thematic clustering and word cloud visualisation. Findings indicate that the integration of technological tools with active stakeholder engagement enhances cluster performance. Nonetheless, the initial regression model revealed limited explanatory power, suggesting the need to incorporate additional variables. The study further demonstrates that combining sustainable practices and digital interventions with community involvement improves visitor satisfaction and operational outcomes, as evidenced by qualitative results. The research establishes a comprehensive framework for enhancing Art Park Clusters, illustrating the interconnections among key concepts. This paper provides actionable guidance for policymakers, urban planners, and cultural strategists tasked with aligning innovation with cultural preservation and sustainable practices. The results suggest that the future success of Art Park Clusters in South Korea and beyond will depend on their capacity to simultaneously foster cultural and economic development