Discovering Greenwashing Behavior Patterns: A Systematic Literature Review Approach
<p>As technology advances and environmental awareness grows, the ESG concept has deeply influenced society and businesses. However, some companies, while promoting sustainability commitments, evade their actual responsibilities, leading to the rise of greenwashing. This behavior undermines genuine efforts and fosters public distrust, potentially causing as much harm as environmental pollution. This study proposes a machine learning approach, using a Systematic Literature Review to analyze recent research on greenwashing. The analysis highlights key research trends across various fields and identifies significant growth in 2022 and 2023. It ultimately uncovers essential features of corporate greenwashing and commonly used tactics, aiming to provide a framework for intelligent detection of greenwashing.</p> <p>&nbsp;</p>
Authors
- Shih‐Hao Huang (ORCID: https://orcid.org/0000-0002-2030-7574)
- Kaiqi Huang (ORCID: https://orcid.org/0009-0006-2906-3445)
- Shaoyun Huang (ORCID: https://orcid.org/0000-0002-2222-3999)
- Chahong Chung (ORCID: https://orcid.org/0000-0003-4719-6648)
Publication Details
- Journal
- International Journal of Computer Auditing
- Published
- 2024-12-01
- DOI
- https://doi.org/10.53106/256299802024120601002
- Citations
- 2
- Primary Topic
- Sustainable Building Design and Assessment
- Type
- article
- Field-Weighted Citation Impact
- 0.53