Data Science and Intelligent Management

This Reprint presents a collection of cutting-edge research at the intersection of data science and intelligent management, featuring 28 peer-reviewed articles originally published within the Topic "Data Science and Intelligent Management" across multiple MDPI journals, including Journal of Theoretical and Applied Electronic Commerce Research, Systems, Healthcare, and Applied Sciences. The new generation of information technology, represented by big data and artificial intelligence, is promoting the progress of scientific research and the transformation of research paradigms. Data analysis is increasingly being applied in behavioral science, e-commerce, healthcare intelligence, and information systems, strongly promoting the rapid development of these disciplines. This Reprint brings together innovative methodologies and empirical studies that leverage machine learning, evolutionary game theory, social network analysis, and big data analytics to address complex management challenges in areas such as online healthcare platforms, cross-border e-commerce logistics, digital government, urban governance, and platform data transactions. The collected works demonstrate how data-driven approaches can enhance decision-making, optimize operations, and generate theoretical and practical insights for researchers, practitioners, and policymakers navigating the digital transformation of management and governance.