Mapping of Research Themes on Environmental, Social, and Governance (ESG) Using Leximancer

This article presents a study using Leximancer (a text mining tool to visualize themes and concepts in text) to find any themes that still have a great opportunity to be studied further related to ESG. This study used the Scopus database and gathered 159 published articles from 2011 to 2020. The articles were selected based on the analysis of the abstract, the theory used, including the development of hypothesis (if any), and conclusions. Based on the main themes generated by Leximancer software, overall, the ‘social’ theme was the most dominant, while themes such as ‘investor’ and ‘sustainability’ were less dominant. This review reveals that the themes and concepts resulting from Leximancer’s content analysis have not been widely studied in the previous literature. Our study continues the previous literature review with a different scope and method. Leximancer offers a larger list of potentially useful keywords for further analysis and provides a visually appealing display of themes and concepts and their level of importance. The results of this review could be used as a basis for providing academic guidance in future ESG research. Keywords: Leximancer, ESG, ESG themes, ESG concepts.

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Publication Details

Journal
Equity
Published
2024-12-29
DOI
https://doi.org/10.34209/equ.v27i2.9249
Citations
1
Primary Topic
University-Industry-Government Innovation Models
Type
article
Field-Weighted Citation Impact
0.73
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article

Mapping of Research Themes on Environmental, Social, and Governance (ESG) Using Leximancer

Bayu Rama Laksono, Rendra Arief Hidayat, Ika Permatasari, Insyirah Putikadea et al.
1 citations
Equity
University-Industry-Government Innovation Models
0.73
article

Mapping of Research Themes on Environmental, Social, and Governance (ESG) Using Leximancer

Bayu Rama Laksono, Rendra Arief Hidayat, Ika Permatasari, Insyirah Putikadea, Intan Permatasari
article en
1 citations

Abstract

This article presents a study using Leximancer (a text mining tool to visualize themes and concepts in text) to find any themes that still have a great opportunity to be studied further related to ESG. This study used the Scopus database and gathered 159 published articles from 2011 to 2020. The articles were selected based on the analysis of the abstract, the theory used, including the development of hypothesis (if any), and conclusions. Based on the main themes generated by Leximancer software, overall, the ‘social’ theme was the most dominant, while themes such as ‘investor’ and ‘sustainability’ were less dominant. This review reveals that the themes and concepts resulting from Leximancer’s content analysis have not been widely studied in the previous literature. Our study continues the previous literature review with a different scope and method. Leximancer offers a larger list of potentially useful keywords for further analysis and provides a visually appealing display of themes and concepts and their level of importance. The results of this review could be used as a basis for providing academic guidance in future ESG research. Keywords: Leximancer, ESG, ESG themes, ESG concepts.

EquityVol. 27(2)
Universitas Negeri Surabaya (ID)
Openalex Percentile: Top 20%
University-Industry-Government Innovation Models
0.73
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Mapping of Research Themes on Environmental, Social, and Governance (ESG) Using Leximancer — Bayu Rama Laksono, Rendra Arief Hidayat, et al. · Equity (2024) | TGRS Research Map | TGRS