Posted: Oct 04, 2021
The contemporary corporate landscape faces unprecedented scrutiny regarding environmental stewardship, social responsibility, and governance transparency. Traditional financial auditing, while essential for verifying financial statements, increasingly proves insufficient for addressing the multifaceted accountability demands of modern stakeholders. Environmental, Social, and Governance (ESG) audits emerge as a critical innovation in corporate oversight, bridging the gap between financial performance and broader societal impact. This research explores the transformative potential of ESG audits through a novel computational framework that integrates artificial intelligence with established auditing principles. Corporate accountability has evolved beyond mere financial compliance to encompass environmental impact, social equity, and ethical governance. The limitations of conventional auditing methodologies become apparent when confronting complex sustainability challenges, supply chain transparency issues, and stakeholder engagement metrics. ESG audits represent a paradigm shift in how organizations measure and report their comprehensive performance, yet the methodological rigor and computational sophistication required for effective ESG auditing remain underdeveloped. This study addresses critical research questions regarding the efficacy of ESG audits in detecting corporate misconduct patterns invisible to traditional financial audits.
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