특허정보를 활용한 서비스 R&D 융합기술 네트워크 분석

Various policies have been implemented to respond to the trend of service-oriented economic transformation, yet the development outcomes of the service industry remain limited. Service R&D requires a distinct approach from manufacturing R&D due to its unique characteristics. This study analyzes patent performance data from the Knowledge Service Industry Technology Development Program of the Ministry of Trade, Industry, and Energy. Using IPC code-based patent network analysis, the study explores key convergence technologies and technological convergence structures. The analysis reveals that business models and business-related data processing technologies exhibit high centrality, and the increasing significance of AI-related technologies has led to their growing centrality. Additionally, service R&D integrates various fields to provide services tailored to industry-specific characteristics based on information and communication technologies. Rather than focusing on specific technological innovations, service R&D serves as a foundational technology for diverse service implementations. Based on these findings, this study highlights the need for policy support to facilitate demand-driven service development and emphasizes the importance of integrating consumer-driven innovative ideas with interdisciplinary knowledge. The findings of this study can serve as a valuable resource for future service R&D technology development and policy formulation.