Decision-Making in Practice: Theoretical Foundations and Case-Based Analytical Approaches

Decision-Making in Practice offers a comprehensive exploration of how decisions are formed, influenced, and executed in modern organizations, spanning classical decision theories to contemporary digitalized, AI-assisted models. The book examines how data-driven methodologies can enhance rationality and objectivity in strategic business decisions, as well as the role of sustainable business models, ESG (Environmental, Social, and Governance) criteria, and long-term planning in an increasingly complex global economy.The discussion begins with the fundamentals and principles of decision-making, examining cognitive biases and behavioral dynamics that shape choices. It then moves into data-driven approaches, highlighting analytics, business intelligence, and the application of agile and lean methods to negotiation and process optimization. Topics such as sustainability, cultural influences, and risk management are presented as essential dimensions of responsible decision-making. Through practical case studies, this book illustrates how humans, technology, and AI collaborate to drive innovation and transform business practices. It then offers a forward-looking perspective on how decision-making will evolve amid rapid technological and organizational change.This is a valuable resource for academics, professionals, and students who seek to understand decision-making not only as a concept but also as a practical process in business and society.