In a globalized business landscape, multinational corporations (MNCs) encounter complex ethical challenges arising from cultural, legal, and governance diversity. This article investigates the impact of structured ethical interventions across five key domains: cultural sensitivity, anti-corruption practices, operational sustainability, labor standards, and regulatory compliance. Employing a mixed-method approach integrating cross-sectional survey analysis, compliance audits, sustainability metrics, and predictive modeling, the study evaluates the efficacy of data-driven ethical programs on organizational behavior and operational ethics. International case studies of MNCs across five continents were analyzed, incorporating interventions such as cultural training modules, algorithmic monitoring and auditing systems, environmental performance optimization, and workforce welfare schemes. Findings reveal that treating ethical dimensions as interconnected components within an integrated governance framework significantly enhances societal and operational outcomes, including trust, employee satisfaction, legal cost reduction, and sustainability impacts. Trust, employee, legal cost avoidance, and sustainability impacts were notable. The study highlights the strategic advantage of embedding computational ethics frameworks into core business operations, moving beyond viewing ethics as a peripheral compliance issue. It further exposes the challenges posed by the need to reconcile internal governance processes with compliance with external regulatory demands. While the results endorse the viability of a systemic, data-driven ethical framework, limitations exist in temporal scope, geographical coverage, and cross-sector comparisons. Future research should explore digital governance innovations and the long-term effects of computational ethical transformations in global businesses.