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
Acceso en línea:https://doaj.org/article/fc56a12cb0eb4bafabd9f159d5a3162d
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Sumario: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.