earticle

영어

This study investigates the structural characteristics and temporal evolution of the Pangyo AI Cluster’s interfirm networks using Social Network Analysis (SNA). As traditional cluster policies are rooted in physical proximity and manufacturing-oriented supply chains, their applicability to the AI industry—driven by intangible assets and decentralized collaborations—remains uncertain. Using transaction data of 528 AI firms (198,327 transactions from 2021–2023), the study analyzes centrality indicators to compare the Pangyo AI Cluster with conventional manufacturing clusters. Results reveal that while manufacturing clusters exhibit a vertically integrated, conglomerate-driven network, the Pangyo cluster displays a more horizontal, diversified structure involving SMEs and public institutions. Furthermore, the study finds that public agencies, such as the Seongnam Industry Promotion Agency, play a critical intermediary role, underscoring the importance of policy support in early-stage ecosystems. These findings suggest the need for differentiated, digitally focused cluster policies tailored to AI industries, moving beyond physical co-location models. This research provides theoretical and empirical insights into designing future-ready innovation clusters.