Intelligent Management

Intelligent Management discusses the core principles of intelligent management, including AI-enabled decision-making, ethics in AI management, the impact of big data, and applications in various business areas such as crisis management, sustainability, and supply chain optimisation.

Key chapters explore human-machine collaboration, ethical considerations in AI adoption, and leadership evolution in the era of intelligent management. Intelligent Management fill a critical gap in the literature by providing a structured approach to integrating intelligent technologies into management practices. By addressing real-world challenges and applications, they serves as a valuable resource for academics, practitioners, and students in management, technology, and business analytics.

Emerald Studies in Neuro-Decision Making for Risk Analysis explores multidisciplinary subjects in depth, offering a thorough grasp of decision-making across many situations by combining ideas from economics, psychology, and neuroscience in the field of Behavioural Economics and Decision Science.