Detecting Greenwashing: Assessing Green Communication and Technological Trajectories Employing AI and Big Data

This study investigates whether firms' sustainable claims match their actual innovation commitments. Patent data, corporate communication, and machine learning is used to assess the alignment between a firm's innovation trajectory and green communication to detect potential greenwashing.

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Description

Monitoring corporate sustainability commitments is crucial for ensuring accountability and detecting inconsistencies between stated goals and actual implementation.

This transparency is crucial for various stakeholders, enabling policymakers and investors to make informed decisions and compelling businesses to adopt sustainable and responsible practices.

Innovation analysis is essential in facilitating the green transition by supporting the development of environmentally beneficial technologies and business models. Comprehending the factors that stimulate innovation can assist policymakers in devising strategic incentives and methods to promote sustainability in various domains, resulting in concrete advantages for enterprises, sectors, and the community.

The findings obtained from this research can influence present and future practices by promoting eco-friendly technologies, supporting sustainable business models, and fostering a sense of corporate accountability.