Analysis of Environmental Management Characteristics Using Network Analysis of CEO Communication in the Automotive Industry

CEO messages in CEO communication are becoming increasingly important. From a sustainable management perspective, it is imperative to study environmental, social, and governance messages. Previous studies on CEO messages have focused on financial analyses. In contrast, this study (1) extracted envir...

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Autores principales:	Yongkyu Choi, Keun Tae Cho
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	ESG CEO communication environmental sustainability network analysis text mining automotive industry Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/fc56a12cb0eb4bafabd9f159d5a3162d
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id	oai:doaj.org-article:fc56a12cb0eb4bafabd9f159d5a3162d
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spelling	oai:doaj.org-article:fc56a12cb0eb4bafabd9f159d5a3162d2021-11-11T19:39:38ZAnalysis of Environmental Management Characteristics Using Network Analysis of CEO Communication in the Automotive Industry10.3390/su1321119872071-1050https://doaj.org/article/fc56a12cb0eb4bafabd9f159d5a3162d2021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11987https://doaj.org/toc/2071-1050CEO messages in CEO communication are becoming increasingly important. From a sustainable management perspective, it is imperative to study environmental, social, and governance messages. Previous studies on CEO messages have focused on financial analyses. In contrast, this study (1) extracted environment-related words in the CEO messages of automotive companies, (2) selected high- and low-performing automotive manufacturers based on car sales data, (3) compared environment-related keywords used by high-performing (upper group) and low-performing (lower group) companies, and (4) performed a structural interpretation of the keywords to analyze the characteristics of environmental management. A comparison between the upper and lower groups revealed that six keywords—<i>society</i>, <i>electric</i>, <i>technology</i>, <i>standards</i>, <i>contribute</i>, and <i>global</i>—were exclusive to the upper group. The six keywords exclusive to the lower group were <i>sales</i>, <i>target</i>, <i>promote</i>, <i>energy</i>, <i>efforts</i>, and <i>system</i>. Environmental keywords and eco-innovation factors were subjected to keyword–factor mapping and network analysis. <i>Normative pressures</i>, <i>technology</i>, and <i>environmental managerial concerns</i> were the key factors with the highest centrality. Accordingly, the environmental management characteristics of the upper-group corporations can be used as benchmarks by lower groups.Yongkyu ChoiKeun Tae ChoMDPI AGarticleESGCEO communicationenvironmental sustainabilitynetwork analysistext miningautomotive industryEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11987, p 11987 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ESG CEO communication environmental sustainability network analysis text mining automotive industry Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	ESG CEO communication environmental sustainability network analysis text mining automotive industry Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Yongkyu Choi Keun Tae Cho Analysis of Environmental Management Characteristics Using Network Analysis of CEO Communication in the Automotive Industry
description	CEO messages in CEO communication are becoming increasingly important. From a sustainable management perspective, it is imperative to study environmental, social, and governance messages. Previous studies on CEO messages have focused on financial analyses. In contrast, this study (1) extracted environment-related words in the CEO messages of automotive companies, (2) selected high- and low-performing automotive manufacturers based on car sales data, (3) compared environment-related keywords used by high-performing (upper group) and low-performing (lower group) companies, and (4) performed a structural interpretation of the keywords to analyze the characteristics of environmental management. A comparison between the upper and lower groups revealed that six keywords—<i>society</i>, <i>electric</i>, <i>technology</i>, <i>standards</i>, <i>contribute</i>, and <i>global</i>—were exclusive to the upper group. The six keywords exclusive to the lower group were <i>sales</i>, <i>target</i>, <i>promote</i>, <i>energy</i>, <i>efforts</i>, and <i>system</i>. Environmental keywords and eco-innovation factors were subjected to keyword–factor mapping and network analysis. <i>Normative pressures</i>, <i>technology</i>, and <i>environmental managerial concerns</i> were the key factors with the highest centrality. Accordingly, the environmental management characteristics of the upper-group corporations can be used as benchmarks by lower groups.
format	article
author	Yongkyu Choi Keun Tae Cho
author_facet	Yongkyu Choi Keun Tae Cho
author_sort	Yongkyu Choi
title	Analysis of Environmental Management Characteristics Using Network Analysis of CEO Communication in the Automotive Industry
title_short	Analysis of Environmental Management Characteristics Using Network Analysis of CEO Communication in the Automotive Industry
title_full	Analysis of Environmental Management Characteristics Using Network Analysis of CEO Communication in the Automotive Industry
title_fullStr	Analysis of Environmental Management Characteristics Using Network Analysis of CEO Communication in the Automotive Industry
title_full_unstemmed	Analysis of Environmental Management Characteristics Using Network Analysis of CEO Communication in the Automotive Industry
title_sort	analysis of environmental management characteristics using network analysis of ceo communication in the automotive industry
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/fc56a12cb0eb4bafabd9f159d5a3162d
work_keys_str_mv	AT yongkyuchoi analysisofenvironmentalmanagementcharacteristicsusingnetworkanalysisofceocommunicationintheautomotiveindustry AT keuntaecho analysisofenvironmentalmanagementcharacteristicsusingnetworkanalysisofceocommunicationintheautomotiveindustry
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Analysis of Environmental Management Characteristics Using Network Analysis of CEO Communication in the Automotive Industry

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