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This book presents an innovative framework for enhancing creativity in decision-making by applying systems thinking principles and tools. It is based on the premise that creativity is not a fixed trait that some people have and others don't, but a skill that can be learned and improved with practice and guidance. The book also argues that decision-making is not a linear or mechanical process that can be reduced to simple rules or formulas, but a dynamic and creative process that requires holistic and systemic thinking.The work also shows that systems thinking is not a complicated or abstract theory that only experts can use, but a practical and powerful tool that anyone can apply to understand and improve complex situations. The framework consists of six steps: problem identification, idea generation, idea selection, idea development, idea implementation, and monitoring and evaluating results and feedback.Readers will learn to use the framework to solve complex problems and generate innovative ideas in any context and domain. Through the systematic integration of existing models into a unified framework, the book contributes to ongoing dialogues regarding effective decision-making processes. It critically evaluates prominent models like the Creative Problem-Solving Model, the Rational Decision Making Model, and the Intuitive Decision Making Model. Researchers seeking insights into incorporating creativity into decision-making will find this book to be a valuable scholarly resource.
This book is about improving human decision making and performance in complex tasks. Utilizing systems thinking approach, this book presents innovative and insightful solutions to various managerial issues in various domains including agriculture, education, climate change, digital transformation, health care, supply chains, and sustainability. Practical insights and operational causal models are systematically presented. The key features of the didactic approach of this book are core knowledge, numerous tables and figures throughout the text, system archetypes, and causal loop models. This book serves as a text for college and university courses on Systems Thinking for Management Decision Making in Complex Tasks. Researchers use the developed "causal models" to design and evaluate various decision-aiding technologies. It is used as a source of practical information for a broad community of decision-makers, researchers, and practitioners concerned with the issue of improving human performance in complex organizational tasks.
This book provides research results and shares experiences in the area of supply chain management. It addresses topics such as risk reduction of lesser marginal profits, disrupted supply chain management, and potential points of business failure. This book explores the "e;new normal"e; of the business supply chain. The didactic approach informs global enterprises on how to deal with the most significant issues in the current supply chain management. The book shows an in-depth analysis of post-COVID opportunities and challenges and acts as an initiative for readers to understand the risks, opportunities, and concerns resulting from the pandemic situation and is a key driver for business management among industry professionals and enterprises. Readers will learn new insights and procedures to better manage multitier supply chains, predictability, and estimation of binding capacity. The book details modeling and technology-based customer demand and response management solutions. New techniques, methods, and perspectives dealing with the estimation, acceleration or deceleration, and flexibility of logistics capacity are particularly emphasized throughout the manuscript. Real-world cases dealing with various aspects of the new normal for supply chains are analyzed. The book is useful for industry professionals and enterprise firms in business management to effectively understand risks, opportunities, and concerning the pandemic situation.
This books explains a strategy that a country can meet its CO2 emission reduction targets (e.g., as are in Paris Agreement) with a dominant share of nuclear power with a balanced energy supply mix. The book starts with an introduction to the subject of energy policy, mechanisms, and CO2 emissions, and the complexity of the CO2 reduction goal. It introduces the system dynamics approach as a solution modeling approach for dealing with the complexity of CO2 reducing policies and mechanisms. The book presents the dynamic model and its key parameters and then elaborates the structural and behavioral validity of the dynamic model.The book gives an intensive review to do that comparative analysis involving China, India, Saudi Arabia, UAE, and Pakistan. The last half of the book focuses on the case in Pakistan. The author reviews Pakistan¿s Intended Nationally Determined Contribution and other key sources from Pakistan¿s Ministry of Energy and related institutions. Using Pakistan¿s case data, the author applies the system dynamics modeling approach whereby a dynamic model, capable of representing the important interactions among various sectors of the electricity supply sector of Pakistan. This book is intended to be of use to policymakers, managers and practitioners, teachers, researchers, and students of design and assessment of policymaking for the complex, dynamic energy systems
This book broadly explains the requirement to focus on core components in a business and provides a case study of open-pit mining operations throughout the book to understand the management perspective of large organizations.
This book is about improving human decision making and performance in complex, dynamic tasks.
This book provides the reader with both a comprehensive understanding of the phenomena encountered in decision making with human facilitated ILEs and a unique way of studying the effects of these phenomena on people's ability to make better decision in complex, dynamic tasks.
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