Outline of Complex Systems Management Theory- Based on Irreversibility of Reductionism Thinking
Description
This book, for the first time, proposes the complex systems management theory based on the integration of complex systems theory and management science to solve the overall complexity problem that cannot be dealt with by the reductionism approach. This theory not only provides a new way of thinking, but also introduces a novel logic for cognition, which has significant academic novelty and practical implications. In particular, by illustrating many real cases, it explains how to apply the complex systems management theory and contribute to practice. This book aims to build complex system management as a new integrated and fundamental concept in the field of management science that has significant potential, which has clear and important academic connotations. It develops a big-data-driven modeling technique for complex system scenarios based on the latest information technology to improve the ability of complex systems management theory in coping with the complexity of real problems. This book provides a new paradigm of thinking, a body of knowledge, and management tools for scholars and practitioners to analyze and solve problems with complex integrity.
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Person
Professor Zhaohan Sheng has been engaged in research and teaching for more than 35 years in Systems Engineering and Engineering Management. He is Recognized Leader in Megaproject Management in China. He has been awarded the title of "National Young Experts with Outstanding Contributions". After serving at Southeast University as Dean of Economics and Management School, Dean of Graduate School, and Vice President of Southeast University, he founded the Engineering and Management School at Nanjing University, where he served as first Dean of the school. At present, he is Honorary Dean of Engineering and Management School at Nanjing University, Director of the Center of Computational Experiment in Social Science in Nanjing University, President of Jiangsu Institute of System Science, Member of the National Science Fund for Distinguished Young Scholars Review Committee, Expert consultant of Science and Technology Award by the Ministry of Education, Advisory Member of Management Division in National Natural Science Foundation Committee, Head of Collaborative Group of National Master of Engineering Education in Logistics Engineering. He is Guest Professor and Advisor at more than 20 universities.
Content
MANAGEMENT AND COMPLEX MANAGEMENT.- SYSTEMS AND COMPLICATED SYSTEMS.- COMPLEXITY AND COMPLEX SYSTEMS.- PARADIGM SHIFT IN COMPLEX SYSTEMS THINKING.- FROM SYSTEMICITY TO COMPLEXITY IN MANAGEMENT.- INTRODUCTION TO COMPLEX SYSTEMS MANAGEMENT.- CORE CONCEPTS OF COMPLEX SYSTEMS MANAGEMENT.- BASIC PRINCIPLES OF COMPLEX SYSTEMS MANAGEMENT.- FOUNDATIONAL SCIENTIFIC ISSUES IN COMPLEX SYSTEMS MANAGEMENT.- INTRODUCTION TO SCENARIO MODELING IN COMPLEX SYSTEMS.- FUNDAMENTALS OF BIG DATA-DRIVEN PRINCIPLES.- COMPUTABILITY OF SCENARIOS AND BIG DATA-DRIVEN SCENARIO MODELING.- KEY TECHNOLOGIES AND PROCESSES OF BIG DATA-DRIVEN SCENARIO MODELING.- EXAMPLES OF COMPLEX SYSTEMS MANAGEMENT.