Replication Package: Enterprise Knowledge Graph Implementation and Ethical AI Governance in Automotive Supply Chains

"A Strategic Competitive Advantage Driven by Knowledge and Evolving AI Innovation: An Empirical Case Study of Ethical Enterprise Leadership in Automobile Manufacturing and Supply Chain Intelligence in China." The repository includes anonymized and aggregated datasets, qualitative thematic coding frameworks, ontology domain structures, Extract–Transform–Load (ETL) workflow documentation, statistical computation procedures, and visualization datasets used to generate the results presented in the manuscript. The materials enable independent validation of the reported analytical findings, including performance improvements in reconciliation efficiency, supply disruption response time reduction, predictive accuracy enhancement, and knowledge graph ontology development. Due to confidentiality agreements with the participating organization ("AutoCorp China"), raw proprietary datasets are not publicly disclosed. However, fully anonymized and aggregated datasets sufficient to reproduce the reported analytical results have been deposited. All materials are provided to support transparency, reproducibility, and responsible AI research governance practices.