Springer Artificial Intelligence-Driven Triple Helix Innovation: Perspectives from Academia, Industry and Government (Studies in Systems, Decision and Control, 681)

Digital technologies are reshaping economies, societies, and governance structures worldwide. The integration of Artificial Intelligence (AI) within the framework of the Triple Helix model; consisting of academia, industry, and government, has become essential for innovation. This book aims to explore the dynamic relationship between these three sectors. The Triple Helix framework outlines the interaction and cooperation among three key participants in the innovation process: academia, industry, and government. Originally proposed by Etzkowitz and Leydesdorff in the 1990s, this model serves as a tool for comprehending the dynamics of innovation in modern societies that rely on knowledge (Schebesch et al, 2024). With increasing global challenges such as climate change, healthcare, and economic inequality, the need for innovative solutions that utilize the strengths of academia, industry, and government is vital. This book is designed for a diverse audience, including scholars and researchers in fields such as innovation studies, technology management, and public policy. Moreover, it targets industry leaders and decision-makers looking to understand the power of AI in driving innovation. It is also intended for government officials interested in using AI for public benefit and enhancing economic competitiveness. Finally, it targets students and academics in education who aim to gain insight into contemporary innovation practices.