Yin Li – författare

China has become an innovation powerhouse in high-tech industries, but the widely held view assumes the Chinese model is built on technological borrowing and state capitalism. This book debunks the myths surrounding the Chinese model with a fresh take on China’s strategies for technological innovation. The central argument is that indigenous innovation plays a critical role in transforming the Chinese high-tech industry. Like any successfully industrialized nation in history, indigenous innovation in China allows industrial enterprises to assimilate knowledge developed elsewhere, utilize science and technology resources and human capabilities accumulated in the country, and eventually approach the technological frontier. The question is, how do Chinese businesses and governments engage in indigenous innovation?

Employing the "social conditions of innovative enterprise" framework developed by William Lazonick and colleagues, this book analyzes how the interaction of strategy, organization, and finance in leading Chinese high-tech firms underpinned by national institutions enables indigenous innovation with Chinese characteristics. It features detailed case studies of two critical high-tech industries—the telecom-equipment industry and the semiconductor industry—and within them, the business histories of leading Chinese innovators. The in-depth look into China’s experience in indigenous innovation provides valuable lessons for advanced and emerging economies.

China has become an innovation powerhouse in high-tech industries, but the widely held view assumes the Chinese model is built on technological borrowing and state capitalism. This book debunks the myths surrounding the Chinese model with a fresh take on China’s strategies for technological innovation. The central argument is that indigenous innovation plays a critical role in transforming the Chinese high-tech industry. Like any successfully industrialized nation in history, indigenous innovation in China allows industrial enterprises to assimilate knowledge developed elsewhere, utilize science and technology resources and human capabilities accumulated in the country, and eventually approach the technological frontier. The question is, how do Chinese businesses and governments engage in indigenous innovation?

Employing the "social conditions of innovative enterprise" framework developed by William Lazonick and colleagues, this book analyzes how the interaction of strategy, organization, and finance in leading Chinese high-tech firms underpinned by national institutions enables indigenous innovation with Chinese characteristics. It features detailed case studies of two critical high-tech industries—the telecom-equipment industry and the semiconductor industry—and within them, the business histories of leading Chinese innovators. The in-depth look into China’s experience in indigenous innovation provides valuable lessons for advanced and emerging economies.

This book contains the works connected with the key advances in Intelligent Information Technologies for Industry presented at IITI 2024, the Eighth International Scientific Conference on Intelligent Information Technologies for Industry held on November 1–7, 2024, in Harbin, China. The works were written by the experts in the field of applied artificial intelligence including topics such as Machine Learning, Explainable AI, Decision-Making, Fuzzy Logic, Multi-Agent and Bioinspired Systems including their modern applications. The following industrial implementations were touched: railway automation, cyber security, intelligent medical systems, navigation systems. The editors believe that this book will be helpful for all scientists and engineers interested in the modern state of applied artificial intelligence.

This book contains the works connected with the key advances in Intelligent Information Technologies for Industry presented at IITI 2024, the Eighth International Scientific Conference on Intelligent Information Technologies for Industry held on November 1–7, 2024, in Harbin, China. The works were written by the experts in the field of applied artificial intelligence including topics such as Machine Learning, Explainable AI, Decision-Making, Fuzzy Logic, Multi-Agent and Bioinspired Systems including their modern applications. The following industrial implementations were touched: railway automation, cyber security, intelligent medical systems, navigation systems. The editors believe that this book will be helpful for all scientists and engineers interested in the modern state of applied artificial intelligence.