Strategic Management, Decision Theory, and Decision Science

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Release : 2021-08-31
Genre : Business & Economics
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Book Rating : 680/5 ( reviews)

Strategic Management, Decision Theory, and Decision Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Strategic Management, Decision Theory, and Decision Science write by Bikas Kumar Sinha. This book was released on 2021-08-31. Strategic Management, Decision Theory, and Decision Science available in PDF, EPUB and Kindle. This book contains international perspectives that unifies the themes of strategic management, decision theory, and data science. It contains thought-provoking presentations of case studies backed by adequate analysis adding significance to the discussions. Most of the decision-making models in use do take due advantage of collection and processing of relevant data using appropriate analytics oriented to provide inputs into effective decision-making. The book showcases applications in diverse fields including banking and insurance, portfolio management, inventory analysis, performance assessment of comparable economic agents, managing utilities in a health-care facility, reducing traffic snarls on highways, monitoring achievement of some of the sustainable development goals in a country or state, and similar other areas that showcase policy implications. It holds immense value for researchers as well as professionals responsible for organizational decisions.

Decision Science for Future Earth

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Release : 2021-01-29
Genre : Nature
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Book Rating : 322/5 ( reviews)

Decision Science for Future Earth - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Decision Science for Future Earth write by Tetsukazu Yahara. This book was released on 2021-01-29. Decision Science for Future Earth available in PDF, EPUB and Kindle. This open access book provides a theoretical framework and case studies on decision science for regional sustainability by integrating the natural and social sciences. The cases discussed include solution-oriented transdisciplinary studies on the environment, disasters, health, governance and human cooperation. Based on these case studies and comprehensive reviews of relevant works, including lessons learned from past failures for predictable surprises and successes in adaptive co-management, the book provides the reader with new perspectives on how we can co-design collaborative projects with various conflicts of interest and how we can transform our society for a sustainable future. The book makes a valuable contribution to the global research initiative Future Earth, promoting transdisciplinary studies to bridge the gap between science and society in knowledge generation processes and supporting efforts to achieve the UN’s Sustainable Development Goals (SDGs). Compared to other publications on transdisciplinary studies, this book is unique in that evolutionary biology is used as an integrator for various areas related to human decision-making, and approaches social changes as processes of adaptive learning and evolution. Given its scope, the book is highly recommended to all readers seeking an integrated overview of human decision-making in the context of social transformation.

Decision Making under Deep Uncertainty

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Release : 2019-04-04
Genre : Business & Economics
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Book Rating : 524/5 ( reviews)

Decision Making under Deep Uncertainty - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Decision Making under Deep Uncertainty write by Vincent A. W. J. Marchau. This book was released on 2019-04-04. Decision Making under Deep Uncertainty available in PDF, EPUB and Kindle. This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.

Strategic Approach in Multi-criteria Decision Making

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Release : 2019
Genre : Decision making
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Book Rating : 278/5 ( reviews)

Strategic Approach in Multi-criteria Decision Making - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Strategic Approach in Multi-criteria Decision Making write by Nolberto Munier. This book was released on 2019. Strategic Approach in Multi-criteria Decision Making available in PDF, EPUB and Kindle. This book examines multiple criteria decision making (MCDM) and presents the Sequential Interactive Modelling for Urban Systems (SIMUS) as a method to be used for strategic decision making. It emphasizes the necessity to take into account aspects related to real world scenarios and incorporating possible real life aspects for modelling. The book also highlights the use of sensitivity analysis and presents a method for using criteria marginal values instead of weights, which permits the drawing of curves that depicts the variations of the objective function due to variations of these marginal values. In this way it also gives quantitative values of the objective function allowing stakeholders to perform a comprehensive risk analysis for a solution when it is affected by exogenous variables. Strategic Approach in Multi-Criteria Decision Making: A Practical Guide for Complex Scenarios is divided into three parts. Part 1 is devoted to exploring the history and development of the discipline and the way it is currently used. It highlights drawbacks and problems that scholars have identified in different MCDM methods and techniques. Part 2 addresses best practices to assure quality MCDM process. Part 3 introduces the concept of Linear Programming and the proposed SIMUS method as techniques to deal with MCDM. It also includes case studies in order to help document and illustrate difficult concepts, especially related to demands from a scenario and also in their modelling. The decision making process can be a complex task, especially with multi-criteria problems. With large amounts of information, it can be an extremely difficult to make a rational decision, due to the number of intervening variables, their interrelationships, potential solutions that might exist, diverse objectives envisioned for a project, etc. The SIMUS method has been designed to offer a strategy to help organize, classify, and evaluate this information effectively.

Decision Sciences

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Release : 1993-08-27
Genre : Business & Economics
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Book Rating : 127/5 ( reviews)

Decision Sciences - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Decision Sciences write by Paul R. Kleindorfer. This book was released on 1993-08-27. Decision Sciences available in PDF, EPUB and Kindle. The long-awaited textbook on the developing field of decision sciences. This book compares different types of decision making and emphasises the link between problem finding and problem solving.