The Role of Artificial Ethics Principles in Managing Knowledge and Enabling Data-Driven Decision Making in Supply Chain Management

In today's data-driven business environment, the ethical management of knowledge and data utilization for decision-making in supply chain management has become increasingly vital. This study explores how artificial ethics principles can guide businesses in managing knowledge ethically and enable data-driven decision-making in supply chain management. The study specifically looks into two key areas: establishing moral standards for handling data and knowledge throughout the supply chain and incorporating artificial ethics principles into data analytics systems to support fairness and impartiality. The study follows a semi-systematic review approach. The findings show the importance of ethical considerations and their contributions to knowledge management and data-driven decision-making in supply chain management. By integrating artificial ethics principles, organizations can uphold ethical values such as accountability, fairness, and transparency in their decision-making procedures. Moreover, integrating these principles into data analytics systems ensures unbiased and equitable decision-making. This study emphasizes the value of integrating ethics into supply chain operations and provides advice for businesses looking to use data ethically and efficiently.