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논문검색

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

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

저자정보

  • 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

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