New Paradigm in Decision Science and Management


Book Description

This book discusses an emerging area in computer science, IT and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore decision-making for cross-platforms that contain heterogeneous data associated with complex assets; leadership; and team coordination. It also reveals the advantages of using decision sciences with management-oriented problems. The book includes a selection of the best papers presented at the International Conference on Decision Science and Management 2018 (ICDSM 2018), held at the Interscience Institute of Management and Technology (IIMT), Bhubaneswar, India.




New Paradigm of Industry 4.0


Book Description

The book provides readers with an overview of the state of the art in the field of Industry 4.0 and related research advancements. The respective chapters identify and discuss new dimensions of both risk factors and success factors, along with performance metrics that can be employed in future research work. They also discuss a number of real-time issues, problems and applications with corresponding solutions and suggestions. Sharing new theoretical findings, tools and techniques for Industry 4.0, and covering both theoretical and application-oriented approaches, the book offers a valuable asset for newcomers to the field and practicing professionals alike.




Encyclopedia of Data Science and Machine Learning


Book Description

Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.




Breakthroughs in Decision Science and Risk Analysis


Book Description

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.







The Future of Human Resource Management


Book Description

Sixty-three stellar academics, consultants, and practitioners look at the future of human resources The follow-up to the bestselling Tomorrow's HR Management (978-0-471-19714-0), this book presents an international panel of expert contributors who offer their views on the state of HR and what to expect in the future. Topics covered include HR as a decision science, understanding and managing people, creating and adapting organizational culture, the effects of globalization, collaborative ventures, and investing in the next generation. Like its bestselling predecessor before it, The Future of Human Resource Management offers the very best thinking on the future of HR from the most respected leaders in the field.




A Professional's Guide to Decision Science and Problem Solving


Book Description

A Professional's Guide to Decision Science and Problem Solving provides an integrated, start-to-finish framework for more effective problem solving and decision making in corporations. Drawing on vast experience in the field, the authors show how to apply state-of-the-art decision science, statistical modeling, benchmarking, and processing modeling techniques together to create a robust analytical framework for better decision making in any field, especially those that rely on advanced operations management. They integrate both newly-developed and time-tested techniques into a logical, structured approach for assessing corporate issues, developing solutions, and making decisions that drive the successful achievement of corporate objectives. Coverage includes: defining objectives, exploring the environment; scoping problems and evaluating their importance; bringing data mining and statistical analysis to bear; solving problems and measuring the results; evaluating the results and performing sensitivity analysis, and more. The book concludes with three case study chapters that walk through the effective use of its methods, step-by-step. Representing a wide variety of corporate environments, these case studies underscore and demonstrate the method's exceptional adaptability. This book will be valuable in a wide range of industries, notably finance, pharmaceutical, healthcare, economics, and manufacturing.




Decision Sciences


Book Description

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.




Rethinking Talent Decisions


Book Description

Talent management is a linchpin of organisational triumph in our dynamic and swiftly evolving business world. As a key decision-maker, your capacity to craft astute talent decisions holds the potential to transcend your company from mere mediocrity to unparalleled excellence. However, brace yourself for a revelation: Many of your long-held convictions about talent may be profoundly flawed. What if we shared a secret that could revolutionise your perspective? What if the gateway to unleashing your team’s boundless talents resides within your thoughts and judgments? Imagine the possibilities if you could harness exponential outcomes by elevating the calibre of your decision-making. In ReThinking Talent Decisions, Sharna Wiblen, PhD, presents an uncomfortable truth: Talent decisions are always subjective. Drawing on examples from business, sports, movies and everyday interactions, Sharna emphasises the importance of understanding complexity and encourages deliberate, intentional, and informed decisions and conversations around talent. This indispensable guide will give you insight into: The Power of Personal Judgment: Learn how your own perspectives shape the today and the future of work. The Complexity of Talent Decisions: Recognise the critical need for key decision-makers to collectively define talent in your unique context. The Human Element: Understand how harnessing your mind can propel you, your team, and your organisation to new heights. Perceptions and Values: Learn how aligning perceptions and values can revolutionise your approach. A New Paradigm: Realise that talent management is a judgment-oriented endeavour. Navigating the Intersection of Talent and Technology: Delve into the world of technology systems and understand how they bolster and shape talent decisions in today’s digital age. ReThinking Talent Decisions is your secret weapon for achieving unparalleled success in the ever-competitive corporate arena. Whether you’re a seasoned executive or a rising star, the wisdom within these pages will empower you to master the art and science of talent decisions.




Examining a New Paradigm of Heritage With Philosophy, Economy, and Education


Book Description

OECD, UNESCO, the European Union, and the United Nations acknowledge that formal educational systems alone cannot respond to rapid and constant technological, social, and economic change in society and that they should be reinforced by non-formal educational practices. Examining a New Paradigm of Heritage With Philosophy, Economy, and Education is a critical scholarly publication that provides comprehensive research on the sustainability of identity and cultural heritage. The book establishes uniform and consistent conceptual criteria to identify and distinguish the different typological categories of heritage and discusses the concept of “cultural landscape” and environmental ethics. Moreover, connections between cultural heritage and natural heritage and the economy of heritage are explored. Finally, the book discusses cultural landscape as an educational resource with reading and interpretation of the cultural landscape as a basis for learning with a methodology of experimental science and its first metamorphosis of value. Featuring a range of topics such as curriculum design, ethics, and environmental tourism, this book is ideal for academicians, sociologists, biologists, researchers, policymakers, and students.