Artikel
Minding the gap‐relating disclosure to contexts of sustainability reporting in the automotive industry
Sustainability is a major issue in the automotive sector and players are at different points in their transition. Adopting a multi‐method approach, we identify the positioning of automotive manufacturers in relation to sustainability, highlighting the main foci of their sustainability strategies. This is achieved using a topic model based on automated language processing. Subsequently, we use a Seemingly Unrelated Regression model, applied to manufacturers' operational data, to establish the degree of alignment between sustainability strategies and operations. Results show that sustainability in the automotive sector is highly differentiated and manufacturers emphasize diverging topics in their communication strategy and have different production practices. In relation to sustainability reporting, we identify certain operational variables, which are significantly related with certain dominant sustainability narratives.
- Language
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Englisch
- Bibliographic citation
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Journal: Corporate Social Responsibility and Environmental Management ; ISSN: 1535-3966 ; Volume: 30 ; Year: 2022 ; Issue: 2 ; Pages: 846-857 ; Chichester, UK: John Wiley & Sons, Inc.
- Classification
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Management
- Subject
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automotive industry
corporate social responsibility
seemingly unrelated regression
sustainability reporting
text analysis
- Event
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Geistige Schöpfung
- (who)
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Rhoden, Imke
Ball, Christopher Stephen
Vögele, Stefan
Kuckshinrichs, Wilhelm
- Event
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Veröffentlichung
- (who)
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John Wiley & Sons, Inc.
- (where)
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Chichester, UK
- (when)
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2022
- DOI
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doi:10.1002/csr.2392
- Last update
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10.03.2025, 11:42 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Rhoden, Imke
- Ball, Christopher Stephen
- Vögele, Stefan
- Kuckshinrichs, Wilhelm
- John Wiley & Sons, Inc.
Time of origin
- 2022
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