인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This study examines the current state and characteristics of Korea"s domestic data transaction ecosystem from a network perspective, utilizing data from the Data Voucher Support Project, an initiative aimed at revitalizing data distribution and transactions. The research analyzes 2,597 purchase transactions and 3,118 processing transactions to construct purchase and processing networks, identifying key clusters within each network. In the data purchase network, credit rating and commercial area analysis emerged as pivotal clusters, while AI technology innovation and platform services are found to be important clusters in the data processing network. Centrality and brokerage analyses were also conducted to identify key actors and determine specific roles of companies within the network. It was found that large corporations play central roles in the data purchase transaction network, whereas small and medium-sized enterprises (SMEs) are central to the data processing transaction network. The findings highlight the need for strategies to stimulate data transactions among SMEs, develop policies fostering collaboration between large corporations and SMEs, and provide government support for accessing international data. The empirical findings and implications of this study are expected to inform future policy-making aimed at invigorating domestic data transactions in Korea.
본문·목차
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