Strategic Management, Decision Theory, and Decision Science
Strategic Management, Decision Theory, and Decision Science

Author: Bikas Kumar Sinha

Publisher: Springer Nature

Published: 2021-08-31

Total Pages: 280

ISBN-13: 9811613680

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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-making
Decision-making

Author: Rebecca Hudson

Publisher: Nova Science Publishers

Published: 2015

Total Pages: 0

ISBN-13: 9781634829595

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This book examines various decision-making processes, influences and its role in business management. The chapters describe the original decision-making approach based on joint use of the multi-criteria method and the method of group preferences in business management; a discussion on the internationalization decision-making process of small-medium enterprises (SMEs); and an examination on the efficiency of computer decision support systems by developing a set of universal analytic models for increasing the efficiency of fuzzy input information processing.

Decision Making Using Game Theory
Decision Making Using Game Theory

Author: Anthony Kelly

Publisher: Cambridge University Press

Published: 2003-03-27

Total Pages: 228

ISBN-13: 9781139438131

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Game theory is a key element in most decision-making processes involving two or more people or organisations. This book explains how game theory can predict the outcome of complex decision-making processes, and how it can help you to improve your own negotiation and decision-making skills. It is grounded in well-established theory, yet the wide-ranging international examples used to illustrate its application offer a fresh approach to an essential weapon in the armoury of the informed manager. The book is accessibly written, explaining in simple terms the underlying mathematics behind games of skill, before moving on to more sophisticated topics such as zero-sum games, mixed-motive games, and multi-person games, coalitions and power. Clear examples and helpful diagrams are used throughout, and the mathematics is kept to a minimum. It is written for managers, students and decision makers in any field.

Decision Theory
Decision Theory

Author: Giovanni Parmigiani

Publisher: John Wiley & Sons

Published: 2009-05-26

Total Pages: 416

ISBN-13:

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Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences, and a correspondence between those sets, decision theory offers conceptually simple procedures for choice. This book presents an overview of the fundamental concepts and outcomes of rational decision making under uncertainty, highlighting the implications for statistical practice. The authors have developed a series of self contained chapters focusing on bridging the gaps between the different fields that have contributed to rational decision making and presenting ideas in a unified framework and notation while respecting and highlighting the different and sometimes conflicting perspectives. This book: * Provides a rich collection of techniques and procedures. * Discusses the foundational aspects and modern day practice. * Links foundations to practical applications in biostatistics, computer science, engineering and economics. * Presents different perspectives and controversies to encourage readers to form their own opinion of decision making and statistics. Decision Theory is fundamental to all scientific disciplines, including biostatistics, computer science, economics and engineering. Anyone interested in the whys and wherefores of statistical science will find much to enjoy in this book.

Managerial Decision Making Leadership
Managerial Decision Making Leadership

Author: Caroline Wang

Publisher: John Wiley & Sons

Published: 2010-08-30

Total Pages: 166

ISBN-13: 0470825251

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The modern manager faces a bewildering range of challenges every single day. Their ability to make critical decisions, often under pressure, can directly determine the future success of the company and their career. It is therefore surprising that so few managers take the time to learn the art of decision making. In this groundbreaking book from Caroline Wang, readers will learn that quality decision making is a competence that can be acquired according to a simple framework. The framework is practical and easy-to-remember, consisting of two acronyms: GPA and IPO. GPA for decision content quality (Goal, Priority, Alternatives); and IPO for decision process quality (Information, People, Objective reasoning). The book places emphasis on leading a team to make decisions, even though the framework can be used for personal and individual decisions. By using this common decision-making framework, managers and leaders will gain credibility and team support for the decision, will confidently articulate, promote, and defend the decision, and will have made the necessary preparations for successful implementation when the decision-making process is complete. This proven framework from one of Asia's most dynamic leadership experts will improve the quality of your decisions and change the way you do business.

Management Theory by Chester Barnard
Management Theory by Chester Barnard

Author: Kazuhito Isomura

Publisher: Springer Nature

Published: 2021-06-25

Total Pages: 119

ISBN-13: 981162979X

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This book explains Chester Barnard’s management theory clearly, faithfully, and systematically. When Barnard published The Functions of the Executive in 1938, it caused a paradigm shift in the research area of management. He aimed to clarify what executives should do, and how and why, as he argued that executive functions and processes are deeply related to specialization, incentive, authority and communication, decision making, and responsibility and leadership. Thus, The Functions of the Executive is essential reading for management students. This book serves as an introductory guide for undergraduate and graduate students to help them understand Barnard’s management theory. In addition, the book enables researchers to understand how Barnard developed his theory. He accumulated a great amount of experience in managing diverse organizations in both the private and public sectors. Then he gradually shifted his focus from scalar organizations, authority, and vertical communication to lateral organizations, responsibility, and horizontal communication. Finally, this book offers businesspeople helpful insights to create an innovative style of management. As a practitioner, Barnard recognized not only the importance of science but also that of art and value. Experienced businesspeople use not only formal knowledge but also their behavioral and personal knowledge, intuition, business sense, value, and executive art to understand the whole situation, balance conflicting factors, and produce creative solutions. Thus, this book also explores the management abilities that businesspeople need to develop.

Intelligent Decision Making in Quality Management
Intelligent Decision Making in Quality Management

Author: Cengiz Kahraman

Publisher: Springer

Published: 2015-10-31

Total Pages: 474

ISBN-13: 331924499X

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This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management.

Decision Making Under Uncertainty
Decision Making Under Uncertainty

Author: Mykel J. Kochenderfer

Publisher: MIT Press

Published: 2015-07-24

Total Pages: 350

ISBN-13: 0262331713

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An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.

Decision and Game Theory in Management With Intuitionistic Fuzzy Sets
Decision and Game Theory in Management With Intuitionistic Fuzzy Sets

Author: Deng-Feng Li

Publisher: Springer

Published: 2013-11-12

Total Pages: 459

ISBN-13: 3642407129

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The focus of this book is on establishing theories and methods of both decision and game analysis in management using intuitionistic fuzzy sets. It proposes a series of innovative theories, models and methods such as the representation theorem and extension principle of intuitionistic fuzzy sets, ranking methods of intuitionistic fuzzy numbers, non-linear and linear programming methods for intuitionistic fuzzy multi-attribute decision making and (interval-valued) intuitionistic fuzzy matrix games. These theories and methods form the theory system of intuitionistic fuzzy decision making and games, which is not only remarkably different from those of the traditional, Bayes and/or fuzzy decision theory but can also provide an effective and efficient tool for solving complex management problems. Since there is a certain degree of inherent hesitancy in real-life management, which cannot always be described by the traditional mathematical methods and/or fuzzy set theory, this book offers an effective approach to using the intuitionistic fuzzy set expressed with membership and non-membership functions. This book is addressed to all those involved in theoretical research and practical applications from a variety of fields/disciplines: decision science, game theory, management science, fuzzy sets, operational research, applied mathematics, systems engineering, industrial engineering, economics, etc.

Managerial Decision Making
Managerial Decision Making

Author: J. Bridge

Publisher: Routledge

Published: 2018-04-17

Total Pages: 305

ISBN-13: 1351200453

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This book, originally published in 1975, is an attempt to bridge the gap between economic theory and business practice by relating the tools of economic analysis to the decision making process itself. It is written from a decision making systems analysis viewpoint. This approach enables the reader to perceive the integrative nature of the subject matter in relation to the functioning of the business enterprise. Although the unifying theme of ‘decision making’ is at the heart of the book, where necessary some of the theoretical underpinnings of traditional neo-classical theory of the firm are covered.