Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/287784 
Year of Publication: 
2022
Citation: 
[Journal:] Corporate Social Responsibility and Environmental Management [ISSN:] 1535-3966 [Volume:] 30 [Issue:] 2 [Publisher:] John Wiley & Sons, Inc. [Place:] Chichester, UK [Year:] 2022 [Pages:] 846-857
Publisher: 
John Wiley & Sons, Inc., Chichester, UK
Abstract: 
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.
Subjects: 
automotive industry
corporate social responsibility
seemingly unrelated regression
sustainability reporting
text analysis
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.