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Applications of Soft Systems Methodology for Organizational Change

Applications of Soft Systems Methodology for Organizational Change
Author(s)/Editor(s): Maryam Ebrahimi (Independent Researcher, Germany)
Copyright: ©2021
DOI: 10.4018/978-1-7998-4504-1
ISBN13: 9781799845041
ISBN10: 1799845044
EISBN13: 9781799845058

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Description

Systems thinking is a method of problem solving that deals with various cultural issues including conflict and compromise. In recent years, researchers have begun studying this approach and applying it within several professional fields, specifically organizations and business management. In the modern age of information, professionals are continually looking for new methods to improve traditional practices within their field. Improving organizational practices through the implementation of the soft systems approach is a growing research area that requires in-depth discussion and case studies.

Applications of Soft Systems Methodology for Organizational Change is a collection of innovative research on the theories and practices of soft systems and their application within organizational and industrial analysis. While highlighting topics including agent-based modeling, sustainable energy initiatives, and natural resources allocation, this book is ideally designed for researchers, designers, managers, analysts, practitioners, executives, academicians, and students seeking current research on the theories and applications of soft systems design.



Author's/Editor's Biography

Maryam Ebrahimi
Dr. Maryam Ebrahimi currently is an independent researcher in Germany. Her post-doctoral research was in the area of Information Systems Management funded by the Alexander von Humboldt Foundation, Germany. She has oriented her studies towards the application of modeling and simulation methodologies especially system dynamics and agent-based modeling for the purpose of policymaking. A few of her publications are ‘hybrid simulation approach for technological innovation policymaking in developing countries’ and ‘modeling and simulation techniques for improved business processes’.

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