Governance of Data-Driven Intelligent Service Platforms: Tourism and Healthcare Cases
Data-driven intelligent service platforms have evolved from simple service intermediaries into institutional governance infrastructures that shape decision-making, coordination, and accountability across sectors. This study examines how platform governance operates in tourism and healthcare systems, emphasizing the roles of data integration, algorithmic decision mechanisms, and institutional oversight. Rather than treating these platforms as domain-specific service tools, the analysis positions them as decision infrastructures that regulate participation, coordinate stakeholders, monitor performance, and enforce compliance through embedded governance mechanisms. Drawing on verifiable platform datasets and governance frameworks, the study demonstrates that tourism platforms historically pioneered large-scale data-driven governance through booking systems, mobility analytics, and review ecosystems. Healthcare platforms subsequently adopted similar governance architectures to support service coordination, regulatory compliance, and risk management in high-stakes institutional environments. Despite differences in sectoral context, both domains rely on the same core governance functions: regulation, coordination, monitoring, accountability, and optimization. The findings show that intelligent platforms enhance decision quality, institutional coordination, policy compliance, and risk governance by embedding regulatory logic into technical systems. Public trust is strengthened through transparent reporting, accountable platform operations, and responsible data stewardship. Healthcare is treated as a governance application case, while tourism represents the methodological origin of platform-based governance practices. Overall, this study contributes to platform governance and AI management research by demonstrating that data-driven platforms function as institutional governance systems rather than merely as service delivery technologies. It highlights the cross-domain transferability of platform governance logic and clarifies how big data and AI reshape contemporary institutional decision-making.