基于主题模型的ESG研究现状分析:以工商管理和会计为重点

Yu-Jeong Hwang, Sang-Hui Oh
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引用次数: 0

摘要

[目的]本研究的目的是分析韩国ESG研究的研究趋势,以企业管理和会计领域为重点,采用主题建模。 【研究方法】本研究以国内学术期刊上发表的“ESG”关键词为研究对象。为此,截止到今年6月30日,在韩国引文索引(Korea Citation Index)中以“ESG”为检索词计算的经营学和会计学研究共有404项。具体而言,使用R进行语素分析,进行关键词频率分析,并通过提取的关键词进行频率分析和大数据分析(数据挖掘、话题建模)。 【发现】本研究共计算了五个主题。具体而言,主题1是环境对管理可持续性的作用,主题2是提高企业价值的意义,主题3是根据经济条件制定的战略,主题4是治理层面的决策,主题5是评价和利用它是一种责任。 [启示]本研究的不同之处在于,它使用大数据分析方法分析研究趋势,并将“ESG”的关键词限定在社会科学中的工商管理和会计领域。与此同时,在工商管理和会计方面也有很多研究,但应用主题建模等大数据方法的研究并不多。本研究的意义在于,在现有研究方法论的基础上又向前迈进了一步,减少了研究者的主观意见,通过大数据方法论,在大量数据的基础上识别宏观研究趋势。
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ESG Research Status Analysis Using Topic Modeling: Focused on Business Administration and Accounting
[Purpose]The purpose of this study is to analyze the research trends of ESG research in Korea, focusing on the fields of business administration and accounting, using topic modeling. [Methodology]This study focuses on the keyword ‘ESG’ published in domestic academic journals. To this end, as of June 30, 2023, a total of 404 studies of business administration and accounting studies calculated with ‘ESG’ as a search term in the Korea Citation Index are the subject of research. Specifically, morpheme analysis was performed using R, keyword frequency analysis was performed, and frequency analysis and Big-data analysis(data mining, topic modeling) were performed through the extracted keywords. [Findings]As a result of this study, five topics were calculated. Specifically, Topic 1 is the role of the environment for management sustainability, Topic 2 is Implications for enhancing corporate value, Topic 3 is Strategy according to economic conditions, Topic 4 is Decision-making at the governance level, Topic 5 is Evaluation and utilization It is a responsibility. [Implications]This study is different in that it analyzes research trends using the big data analysis method with the keyword ‘ESG’ limited to business administration and accounting among social sciences. In the meantime, many studies have been conducted in business administration and accounting, but there are not many studies that apply big data methods such as topic modeling. This study has significance in that it goes one step further from the existing research methodology, reduces the subjective opinions of researchers, and identifies macroscopic research trends based on a lot of data through the Big-data methodology.
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