Read more
In a rapidly evolving technological landscape, integrating artificial intelligence (AI) into sustainable innovation and risk management practices is increasingly vital. This edited volume titled "Artificial Intelligence for Sustainable Innovation Management and Risk Management: A Systems (and Network) Perspective" offers a comprehensive exploration of how AI and other technologies can be utilized in today s challenging world of dynamic environments and industries. This book targets a diverse audience, including academics and researchers in management, sustainability studies, and technology, who will find valuable insights to advance their research on AI, sustainability, and management. Graduate and postgraduate students pursuing studies in management, AI, and sustainability will also find this book to be a comprehensive resource, enriching their academic curriculum with contemporary issues and cases. Overall, this book is positioned to discuss the critical role of AI and technology in fostering sustainable practices and addressing multifaceted challenges in the modern world.
List of contents
AI for sustainable innovation management.- AI for risk managemt.- AI strategies and innovation change management Digital risk managementInnovation capabilitiesAI for financial risks and operational risks.- Data mining Machine learning.- Artificial neural network.- Natural language processing.- Automated identification.- Automated risk detection.- Parallel computing environment.- AI applications for public safety.- AI and social media /PR crisis management.- Fuzzy Logic in finance and banking risks.- Fuzzy decision support system for risk management.- Disruptive technological innovation.- Data breaches and security risk responses.- AI risk management-related governance, policies, and strategies Social risksEconomic risks.
Summary
In a rapidly evolving technological landscape, integrating artificial intelligence (AI) into sustainable innovation and risk management practices is increasingly vital. This edited volume titled "Artificial Intelligence for Sustainable Innovation Management and Risk Management: A Systems (and Network) Perspective" offers a comprehensive exploration of how AI and other technologies can be utilized in today’s challenging world of dynamic environments and industries. This book targets a diverse audience, including academics and researchers in management, sustainability studies, and technology, who will find valuable insights to advance their research on AI, sustainability, and management. Graduate and postgraduate students pursuing studies in management, AI, and sustainability will also find this book to be a comprehensive resource, enriching their academic curriculum with contemporary issues and cases. Overall, this book is positioned to discuss the critical role of AI and technology in fostering sustainable practices and addressing multifaceted challenges in the modern world.
