빅데이터 분석을 통한 외식산업에서의 ESG 인식 분석

This study explores the perception structure and key keywords of ESG (Environmental, Social, Governance) management in the foodservice industry through big data analysis. A total of 5,103 texts were collected from Naver and Daum online platforms between January 2022 and December 2024 using the keyword “ESG + Foodservice” After preprocessing with the Textom platform, TF-IDF analysis identified major keywords such as “food,” “management,” “enterprise,” “society,” “industry,” “franchise,” and “sustainability,” which reflect both operational elements and ESG values. CONCOR network analysis revealed eight semantic clusters, including industry strategy, policy and event linkage, public–private cooperation, regional education diffusion, and franchise strategy. Results indicate that ESG in the foodservice sector is often presented as reporting or promotional communication rather than practical implementation, with consumers depicted mainly as passive actors. However, some evidence of region- based practices suggests opportunities for localized ESG strategies. The findings highlight that to advance ESG in the foodservice industry, efforts should shift from formal expressions toward practice- oriented strategies and greater consumer participation. This research lays the foundation for actionable ESG strategies and suggests the need for future studies, such as longitudinal and sentiment analyses, to broaden the analytical perspective.