ESG 연구의 키워드 네트워크 분석: 관광학 분야를 중심으로

This study aims to systematically analyze the intellectual structure of ESG management research conducted in the field of tourism using keyword network analysis. To achieve this, academic papers indexed in KCI were collected by searching for the keywords "tourism" and "ESG" across major academic databases, including KCI, RISS, DBPIA, and KISS. After reviewing the bibliographic information and removing duplicate papers, 57 papers were finalized as the subjects of analysis. The collected papers underwent preprocessing and refinement to construct a similarity coefficient matrix between keywords, which was subsequently used to conduct a keyword network analysis. The network was visualized in the form of word network graphs and word clouds, while cohesion structure analysis and centrality analysis were performed to identify the intellectual structure of ESG research within the field of tourism. The analysis results revealed that ESG research in tourism predominantly focuses on sustainability, with a significant number of studies examining employee and consumer attitudes and behavioral intentions related to ESG management in airline and hotel industries. Additionally, the cohesion structure analysis indicated that ESG management research in the field of tourism covers a wide range of ESG topics across different industry sectors. This study contributes to the understanding of ESG research in tourismand uncovering the structural characteristics and key trends in the field. However, the study is limited by the relatively small dataset. Future research should address this limitation by expanding the scope of analysis and incorporating a broader range of academic databases for further investigation.