Greenwashing in Sustainability Reporting: A Systematic Literature Review of Strategic Typologies and Content-Analysis-Based Measurement Approaches
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This paper presents a systematic literature review (SLR) of research on strategic positioning of companies and the measurement of greenwashing in sustainability reporting. Its main aim is to synthesize and organize the existing literature, identify key research gaps, and outline directions for future studies. Drawing on a rigorous content analysis of 88 studies, we delineate strategic typologies of greenwashing in sustainability reporting and examine content-analysis-based measurement approaches used to detect it. Our SLR shows that most strategic typologies draw on theories such as legitimacy theory, impression management theory, signaling theory, and stakeholder theory. Several studies adopt a four-quadrant matrix with varying conceptual dimensions, while others classify strategic responses to institutional pressures along a passive–active continuum. However, the evidence suggests that to assume that companies uniformly pursue sustainability reporting strategies is a major oversimplification. The findings also indicate that the literature proposes a variety of innovative, content-analysis-based approaches aimed at capturing divergences between communicative claims and organizational realities—most notably, discrepancies between disclosure and measurable performance, and between symbolic and substantive sustainability actions, as well as the identification of selective or manipulative communication practices that may signal greenwashing. Analytical techniques commonly focus on linguistic and visual cues in sustainability reports, including tone (sentiment and narrative framing), readability (both traditional readability indices and machine learning–based textual complexity measures), and visual content (selective emphasis, imagery framing, and graphic distortions). We also synthesize studies that document empirically verified instances of greenwashing and contrast them with research that, in our view, relies on overly simplified or untested assumptions. Based on this SLR, we identify central theoretical and methodological priorities for advancing the study of greenwashing in sustainability reporting and propose a research agenda to guide future research.
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Systematic literature reviews highlight the pervasiveness of selective and exaggerated ESG disclosures that undermine the credibility of sustainability reporting.
“Systematic literature reviews further highlight the pervasiveness of selective and exaggerated ESG disclosures that undermine the credibility of sustainability reporting, emphasizing the importance of stronger verification mechanisms and governance safeguards to counter greenwashing risks [22,23].”
From Artificial Intelligence in Managerial Decision-Making for Sustainable Business Models: A Systematic Literature Review (2026) · cites this paper as [23]
The Introduction and §3.2.3 describe selective, exaggerated ESG disclosures as forms of greenwashing, and the Conclusions link preventing greenwashing to more credible sustainability reporting (page numbers unavailable). But the review does not establish that these practices are pervasive; its Directions for Future Research say evidence on the prevalence of some distortive practices remains limited. (LLM, conf=0.86)
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Cited by
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- Authors
- Janik, A., & Ryszko, A.
- Affiliations
- Silesian University of Technology (PL)
- Corresponding author
- Ryszko, Adam
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2025-12-19
- Volume
- 18
- Issue
- 1
- Pages
- 17
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W4417493793
- Cited by
- 28
- References
- 128
- Citations by year
- 2026: 28
- FWCI
- 7.39
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- Funders
- Department of Production Engineering, Faculty of Management and Organization, Silesian University of Technology (13/030/BK_25/0089)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Corporate Social Responsibility Reporting
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Social Sciences › Business, Management and Accounting › Accounting › Auditing, Earnings Management, Governance
- Keywords
- greenwashing, sustainability reporting, legitimacy theory, impression management, signaling theory, stakeholder theory, readability, corporate sustainability communication, institutional pressures
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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