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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| Main Authors: | , |
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| Format: | article |
| Language: | EN |
| Published: |
MDPI AG
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/fc56a12cb0eb4bafabd9f159d5a3162d |
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| Summary: | 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. |
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