What the study found
The study presents a knowledge management framework for detecting and reducing greenwashing, which it treats as a breakdown in how sustainability information is coded, checked, and shared. It also introduces a Greenwashing Index (GWI), described as a proxy for credibility erosion.
Why the authors say this matters
The authors suggest the framework matters because organizations face closer scrutiny of sustainability claims, and knowledge governance is therefore important for corporate credibility. The findings indicate that predictive and interpretative analytics may improve transparency, support early risk detection, and guide governance interventions.
What the researchers tested
The researchers developed an analytics-driven knowledge management framework grounded in legitimacy theory, signaling theory, and stakeholder theory. The system combines BERT-based sentiment classification, relational recurrent extreme learning machines (RRELM), Monte Carlo uncertainty modeling, and network diffusion analytics, and it was applied to real-world data in a process-oriented analysis from knowledge acquisition and structuring through perception and decision-making.
What worked and what didn't
According to the abstract, the empirical results from real-world data show that the proposed analytics can improve transparency, enable early risk detection, and guide governance interventions. The abstract does not describe any specific failures, comparative weaknesses, or negative results.
What to keep in mind
The abstract provides only a high-level summary, so detailed limitations are not described in the available text. It also does not specify the dataset, evaluation measures, or how the proposed framework compares with other approaches.
Key points
- Greenwashing is framed as a failure in organizational knowledge processes.
- The study introduces a Greenwashing Index (GWI) as a proxy for credibility erosion.
- The framework uses BERT-based sentiment classification, RRELM, Monte Carlo uncertainty modeling, and network diffusion analytics.
- Real-world data were used to test the approach.
- The abstract says the analytics may improve transparency, early risk detection, and governance interventions.
Disclosure
- Research title:
- Digital framework targets greenwashing through knowledge governance
- Authors:
- Sumit Tripathi, Roma Trigunait, Dinesh Chandra Pandey
- Institutions:
- Babasaheb Bhimrao Ambedkar University, Central Coastal Agricultural Research Institute, Graphic Era University
- Publication date:
- 2026-02-09
- OpenAlex record:
- View
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