Research in the Decision Sciences for Global Business

Research in the Decision Sciences for Global Business

Author: European Decision Sciences Institute

Publisher: Pearson Education

Published: 2015-02-18

Total Pages: 385

ISBN-13: 0134050967

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This volume brings together important new research in decision science, capturing the crucial role of local context in a globalized, standardized world. Assembling the best work presented at the 2013 Conference of the European Decision Sciences Institute, it considers classic decision science problems from a new perspective, offering insights for improving decision-making in government, business, healthcare, education, manufacturing, the military, and beyond. The papers in Common Disciplines that Separate Us embrace the duality of globally determined local contexts, offering new approaches to decision-making related to: Strengthening national economic competitiveness Reforming the public sector and higher education Deploying information technology more effectively throughout government Making healthcare policy that achieves better outcomes at lower cost Analyzing social networks Improving processes via data visualization, modeling, and simulation Gaining more value from enterprise business intelligence Offshoring, nearshoring, "right shoring," and other key manufacturing decisions Improving supply chain performance And much more The papers collected here will be valuable to wide audiences of faculty, researchers, and students in diverse programs covering business, public administration, and economics; and for others interested in the frontiers of decision science.


Application of Decision Science in Business and Management

Application of Decision Science in Business and Management

Author: Fausto Pedro García Márquez

Publisher: BoD – Books on Demand

Published: 2020-03-04

Total Pages: 247

ISBN-13: 1838800999

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Application of Decision Science in Business and Management is a book where each chapter has been contributed by a different author(s). The chapters introduce and demonstrate a decision-making theory to practice case studies. It demonstrates key results for each sector with diverse real-world case studies. Theory is accompanied by relevant analysis techniques, with a progressive approach building from simple theory to complex and dynamic decisions with multiple data points, including big data, lot of data, etc. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of decision making. It is complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, etc.


Proceedings of the Seventh International Forum on Decision Sciences

Proceedings of the Seventh International Forum on Decision Sciences

Author: Xiang Li

Publisher: Springer

Published: 2020-11-21

Total Pages: 209

ISBN-13: 9789811557194

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These proceedings focus on selected aspects of the current and upcoming trends in transportation, logistics, supply chain management, and decision sciences. In detail the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Optimization, Transportation, Logistics and Intelligent Business. The variety of the papers delivers added value for both scholars and practitioners. This book is the documentation of the symposium “The Seventh International Forum on Decision Sciences”, which took place in Windsor, Canada.


Research in the Decision Sciences for Innovations in Global Supply Chain Networks

Research in the Decision Sciences for Innovations in Global Supply Chain Networks

Author: European Decision Sciences Institute

Publisher: FT Press

Published: 2015-04-14

Total Pages: 574

ISBN-13: 0134051106

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The papers in this volume introduce powerful new innovations in global supply chain networks. The best papers from the 2014 annual conference of the European regional subdivision of the Decision Sciences Institute (EDSI), they analyze the latest global trends associated with: Sustainability and corporate social responsibility Applications in modeling and decision techniques Social network analysis for better decision-making Innovation and entrepreneurship Relationship management ERP/Enterprise Business Intelligence Globalized manufacturing Performance and revenue management Risk management Business innovation management Supply chain operations management, and more The papers collected here will be valuable to wide audiences of faculty, researchers, and students in diverse programs covering supply chain and/or operations management, and for others interested in the frontiers of decision science.


Decision Sciences for COVID-19

Decision Sciences for COVID-19

Author: Said Ali Hassan

Publisher: Springer Nature

Published: 2022-02-28

Total Pages: 475

ISBN-13: 3030870197

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This book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for COVID-19. Addressing concrete problems in these vital fields, it focuses on theoretical and methodological investigations of managerial decisions that drive production and service enterprises’ productivity and success. Moreover, it presents optimization techniques and tools that can also be adopted for other applications in various research areas after a thorough analysis of the specific problem. The book is intended for researchers and practitioners seeking optimum solutions to real-life problems in various application areas concerning COVID-19, helping them make scientifically founded decisions.


Decision Science for Future Earth

Decision Science for Future Earth

Author: Tetsukazu Yahara

Publisher: Springer Nature

Published: 2021-01-29

Total Pages: 251

ISBN-13: 9811586322

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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 Sciences

Decision Sciences

Author: Raghu Nandan Sengupta

Publisher: CRC Press

Published: 2016-11-30

Total Pages: 936

ISBN-13: 1351727400

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This handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to advanced concepts, authors hope to make the readers well aware of the different theoretical and practical ideas, which are the focus of study in decision sciences nowadays. It includes an excellent bibliography/reference/journal list, information about a variety of datasets, illustrated pseudo-codes, and discussion of future trends in research. Covering topics ranging from optimization, networks and games, multi-objective optimization, inventory theory, statistical methods, artificial neural networks, times series analysis, simulation modeling, decision support system, data envelopment analysis, queueing theory, etc., this reference book is an attempt to make this area more meaningful for varied readers. Noteworthy features of this handbook are in-depth coverage of different topics, solved practical examples, unique datasets for a variety of examples in the areas of decision sciences, in-depth analysis of problems through colored charts, 3D diagrams, and discussions about software.


Handbook of Marketing Decision Models

Handbook of Marketing Decision Models

Author: Berend Wierenga

Publisher: Springer Science & Business Media

Published: 2008-09-05

Total Pages: 621

ISBN-13: 0387782133

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Marketing models is a core component of the marketing discipline. The recent developments in marketing models have been incredibly fast with information technology (e.g., the Internet), online marketing (e-commerce) and customer relationship management (CRM) creating radical changes in the way companies interact with their customers. This has created completely new breeds of marketing models, but major progress has also taken place in existing types of marketing models. Handbook of Marketing Decision Models presents the state of the art in marketing decision models. The book deals with new modeling areas, such as customer relationship management, customer value and online marketing, as well as recent developments in other advertising, sales promotions, sales management, and competition are dealt with. New developments are in consumer decision models, models for return on marketing, marketing management support systems, and in special techniques such as time series and neural nets.


Data Science for Business and Decision Making

Data Science for Business and Decision Making

Author: Luiz Paulo Favero

Publisher: Academic Press

Published: 2019-04-11

Total Pages: 1246

ISBN-13: 0128112174

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Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. - Combines statistics and operations research modeling to teach the principles of business analytics - Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business - Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs


Breakthroughs in Decision Science and Risk Analysis

Breakthroughs in Decision Science and Risk Analysis

Author: Louis Anthony Cox, Jr.

Publisher: John Wiley & Sons

Published: 2015-03-30

Total Pages: 328

ISBN-13: 1118217160

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Discover recent powerful advances in the theory, methods, and applications of decision and risk analysis Focusing on modern advances and innovations in the field of decision analysis (DA), Breakthroughs in Decision Science and Risk Analysis presents theories and methods for making, improving, and learning from significant practical decisions. The book explains these new methods and important applications in an accessible and stimulating style for readers from multiple backgrounds, including psychology, economics, statistics, engineering, risk analysis, operations research, and management science. Highlighting topics not conventionally found in DA textbooks, the book illustrates genuine advances in practical decision science, including developments and trends that depart from, or break with, the standard axiomatic DA paradigm in fundamental and useful ways. The book features methods for coping with realistic decision-making challenges such as online adaptive learning algorithms, innovations in robust decision-making, and the use of a variety of models to explain available data and recommend actions. In addition, the book illustrates how these techniques can be applied to dramatically improve risk management decisions. Breakthroughs in Decision Science and Risk Analysis also includes: An emphasis on new approaches rather than only classical and traditional ideas Discussions of how decision and risk analysis can be applied to improve high-stakes policy and management decisions Coverage of the potential value and realism of decision science within applications in financial, health, safety, environmental, business, engineering, and security risk management Innovative methods for deciding what actions to take when decision problems are not completely known or described or when useful probabilities cannot be specified Recent breakthroughs in the psychology and brain science of risky decisions, mathematical foundations and techniques, and integration with learning and pattern recognition methods from computational intelligence Breakthroughs in Decision Science and Risk Analysis is an ideal reference for researchers, consultants, and practitioners in the fields of decision science, operations research, business, management science, engineering, statistics, and mathematics. The book is also an appropriate guide for managers, analysts, and decision and policy makers in the areas of finance, health and safety, environment, business, engineering, and security risk management.