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소셜 네트워크 분석과 토픽모델링을 활용한 국내 ESG 연구동향

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dc.contributor.author문건두-
dc.contributor.author김경재-
dc.contributor.author박호연-
dc.date.accessioned2024-08-08T13:01:19Z-
dc.date.available2024-08-08T13:01:19Z-
dc.date.issued2022-12-
dc.identifier.issn1738-8112-
dc.identifier.issn2384-1958-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/22446-
dc.description.abstractPurpose – The purpose of this study is to derive ESG-related trends covered in academic papers and newspaper articles through social network analysis and topic modeling. Design/Methodology/Approach – We used the data of 249 academic journals and 16,232 press articles for analysis. Findings – The results of this study show trends from various perspectives by analyzing papers and articles separately. Accordingly, it was confirmed that domestic ESG research is gradually expanding from social responsibility to environmental obligations. Research Implications – This study is meaningful in that the overall domestic trends in ESG management, a strategy for sustainable management in this era, were identified separately from academic studies and articles. It is effective in sharing the general knowledge of companies, and through the results, future complementary points for corporate competitiveness can also be discussed. It can also be referred to as basic data to identify and understand domestic ESG research topics, and to develop insights and directions for follow-up studies in sustainable management studies.-
dc.format.extent18-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국무역연구원-
dc.title소셜 네트워크 분석과 토픽모델링을 활용한 국내 ESG 연구동향-
dc.title.alternativeESG Research Trends in Korea Using Social Network Analysis and Topic Modeling-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.16980/jitc.18.6.202212.273-
dc.identifier.bibliographicCitation무역연구, v.18, no.6, pp 273 - 290-
dc.citation.title무역연구-
dc.citation.volume18-
dc.citation.number6-
dc.citation.startPage273-
dc.citation.endPage290-
dc.identifier.kciidART002921762-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorESG-
dc.subject.keywordAuthorResearch Trends-
dc.subject.keywordAuthorSocial Network Analysis-
dc.subject.keywordAuthorTopic Modeling-
dc.subject.keywordAuthorLatent Dirichlet Allocation-
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