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https://www.um.edu.mt/library/oar/handle/123456789/71364
Title: | Better decision making in complex dynamic tasks-a book review |
Authors: | Ferreira, Manuel Alberto M. |
Keywords: | Decision making -- Case studies Learning -- Case studies Complexity (Linguistics) Operations research -- Case studies |
Issue Date: | 2015 |
Publisher: | ISMASYSTEMS Scientific Research |
Citation: | Ferreira, M. A. M. (2015). Better decision making in complex dynamic tasks-a book review. International Journal of Finance, Insurance and Risk Management, 5(2), 920-921. |
Abstract: | The objective of this work is the book “Better Decision Making in Complex Dynamic Tasks (Training with Human-Facilitated Interactive Learning Environments)”, 978-3-319-07985-1, from Springer Series “Understanding Complex Systems” review: H. Qudrat-Ullah, Editor of this book points its three main objectifs as: 1. Providing a comprehensive study of decision making and learning with human facilitated ILEs. 2. Introducing decision making in dynamic tasks. 3. Explaining the methods and obstacles of training with human facilitated simulation-based learning environments. It is composed of four parts: • Part I serves as an introduction to the importance and complexity of decision making in dynamic tasks. • Part II provides background material, drawing upon relevant literature, for the development of an integrated process model on the effectiveness of human facilitated ILEs in improving decision making in dynamic tasks. • Part III focuses on the design, development, and application of FishBankILE in laboratory experiments to gather empirical evidence for the validity of the process model. • Part IV presents a comprehensive analysis of the gathered data to illustrate the lessons to be learned. The keywords and the related subjects presented below, also supplied by the Editor, complete the understanding about the subjects dealt with in this book and also on the research methodologies used. The whole book is written in very correct and accessible English. It is scientifically rigorous and exigent. The contributors are leading experts in this field, with high reputation. According to the Editor, this book will be useful for managers and practitioners, researchers, and students of dynamic decision making. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/71364 |
Appears in Collections: | Volume 5, Issue 2, 2015 |
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Better_decision_making_in_complex_dynamic_tasks.pdf | 683.95 kB | Adobe PDF | View/Open |
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