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Big Kinds News Text Analysis Based on Topic Modeling and a Semantic Network Focused on ESG Management

첫 페이지 보기
  • 발행기관
    한국경영정보학회 바로가기
  • 간행물
    한국경영정보학회 정기 학술대회 바로가기
  • 통권
    2023년도 한국경영정보학회 춘계 학술대회 (2023.06)바로가기
  • 페이지
    pp.940-945
  • 저자
    Flor Gutierrez De la Cruz, Keun‐Hyung Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A434310

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원문정보

초록

영어
ESG management is essential to ensure the sustainability of companies in an environment where many risks such as climate change are impacting. It is essential to promote academic research that reflects social requirements so that ESG management can be implemented in all fields of our society. The purpose of this research is to identify social issues and trends linked to ESG and determine whether academic studies are being performed to address them. The study aimed to identify social issues and trends related to ESG, news article texts from Big Kinds, a news search site, were collected and topic modeling and semantic network-based text analysis were performed. In order to understand academic research topics related to ESG, summary texts of ESG-related academic papers were collected on the RISS site, and topic modeling and semantic network-based text analysis were performed. The article confirms an increasing interest in ESG from both social and academic perspectives. However, there is a slight disparity between the two, with social trends related to ESG management gaining attention from larger companies and then spreading to small and medium-sized enterprises, while academic research on ESG tends to focus mainly on the concept and principles.

목차

Abstract
1. Introduction
2. Research Design
2.1 Research Question
2.2 Data Analysis Process Design
3. Data Analysis and Results
3.1 Basic Text Analysis
3.3. Comparison of ESG Management-related News Articles and Academic Research Topics
3.4 Discussion and Implications for Research Issues
4. Conclusion
References

키워드

ESG Management Big Kinds Academic Journal Sites Topic Modeling Semantic Network Analysis.

저자

  • Flor Gutierrez De la Cruz [ Faculty of Data Science for Sustainable Growth (Management Information Systems Major), Jeju National University ]
  • Keun‐Hyung Kim [ Department of Management Information Systems, Jeju National University, Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국경영정보학회 [The Korea Society of Management information Systems]
  • 설립연도
    1989
  • 분야
    사회과학>경영학
  • 소개
    이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.

간행물

  • 간행물명
    한국경영정보학회 정기 학술대회 [KMIS Conference]
  • 간기
    반년간
  • 수록기간
    1990~2025
  • 십진분류
    KDC 325 DDC 658

이 권호 내 다른 논문 / 한국경영정보학회 정기 학술대회 2023년도 한국경영정보학회 춘계 학술대회

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