Work

Utilising machine learning for corporate social responsibility (CSR) and environmental, social, and governance (ESG) evaluation: Transitioning from committees to climate

Year: 2024

Type: article

Abstract: Transparency and accountability are critical components of corporate sustainability. This study uses machine learning and empirical analysis to examine the influence of corporate social responsibility (CSR) committees and environmental, social, and governance (ESG) initiatives on corporate sustainability. Using 2017–2021 Bloomberg Terminal data, we investigated the environmental footprints, disclosure practices, risk profiles, and ESG fund commitments of Fortune 500 companies. Key findings indicate that CSR committees positively impact environmental performance, with an increase in environmental responsibility over time. Policy implications highlight the necessity for collaboration to prioritize environmental sustainability and address climate risk disclosure auditing within the audit profession.

Source: Sustainable Futures

DOI: 10.1016/j.sftr.2024.100329

Authors: Ravichandran K. Subramaniam, Shyamala Dhoraisingam Samuel, Manjeevan Seera, Nafis Alam

Institution: Monash University Malaysia

Language: English

Topic: Corporate Social Responsibility Reporting

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Climate action

Open Access status: gold

Estimated APC paid: $1,880