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Author: Srikanta Patnaik Publisher: Springer Nature ISBN: 9811393303 Category : Technology & Engineering Languages : en Pages : 408
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.
Author: Srikanta Patnaik Publisher: Springer Nature ISBN: 9811393303 Category : Technology & Engineering Languages : en Pages : 408
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.
Author: Louis Anthony Cox, Jr. Publisher: John Wiley & Sons ISBN: 1118217160 Category : Business & Economics Languages : en Pages : 328
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.
Author: Frank A. Tillman Publisher: FT Press ISBN: 0132869780 Category : Business & Economics Languages : en Pages : 273
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.
Author: Fausto Pedro García Márquez Publisher: BoD – Books on Demand ISBN: 1838800999 Category : Business & Economics Languages : en Pages : 247
Book Description
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.
Author: Raghu Nandan Sengupta Publisher: CRC Press ISBN: 1351727400 Category : Business & Economics Languages : en Pages : 936
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.
Author: Caroline M. Sipp Publisher: Springer Science & Business Media ISBN: 1461458145 Category : Business & Economics Languages : en Pages : 136
Book Description
This book seeks to answer “why, when and how are real options used in strategic technology venturing?” This work tests for the role of real options in decision making involving three types of firms in decreasing order of technology-dependence – technology-driven (TD) (where the profit is fully dependent on new technology creation and leveraging), technology-based (TB) (where the profit is enabled and supported by technology) and technology-neutral (TN) (where the profit is almost independent of technology). It also deals with strategic and non-strategic types of decisions driven by real options. This analysis shows that an environment presenting co-opetitive (simultaneous competition and collaboration) conditions triggers the use of real options (why), that serve to transform the position, posture and propensity of businesses to innovate and thus they co-evolve (when) into more effective and efficient forms of businesses (co-specialization) (how). The authors demonstrate that embracing risk and uncertainty can increase levels and probability of new venture formation. However, their simulation also shows that it should be adapted to the risk profile of the firm and that timing is also a factor to be considered. Although engaging the concepts of real options, this analysis does not focus on a specific investment valuation methodology, but highlights the relationship between knowledge and risk and rather addresses the management of mindsets, as moving towards a systematic conceptualization of real options represents a different paradigm in decision making.
Author: Taosheng Wang Publisher: ISBN: 9789811625039 Category : Languages : en Pages : 0
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 Third International Conference on Decision Science and Management 2021 (ICDSM 2021), held at Hang Seng University of Hong Kong in China.
Author: Decision Sciences Institute. Annual Meeting Publisher: Pearson Education ISBN: 0133925374 Category : Business & Economics Languages : en Pages : 400
Book Description
Decision science offers powerful insights and techniques that help people make better decisions to improve business and society. This new volume brings together the peer-reviewed papers that have been chosen as the "best of the best" by the field's leading organization, the Decision Sciences Institute. These papers, authored by respected decision science researchers and academics from around the world, will be presented at DSI's 45th Annual Meeting in Tampa, Florida in November 2014. The first book of papers ever assembled by DSI, this volume describes recent methods and approaches in the decision sciences, with a special focus on how accelerating technological innovation is driving change in the ways organizations and individuals make decisions. These papers offer actionable insights for decision-makers of all kinds, in business, public policy, non-profit organizations, and beyond. They also point to new research directions for academic researchers in decision science worldwide.
Author: Kelly Monahan Publisher: Academic Press ISBN: 0128135689 Category : Business & Economics Languages : en Pages : 279
Book Description
How Behavioral Economics Influences Management Decision-Making: A New Paradigm critically reexamines the management function in 21st century workplaces. The book seeks to examine and explain the real-world behaviors of employees and acknowledge the human nature that binds us all together and how to appeal to these characteristics in order to help organizations prosper. It explores well-observed but rarely understood features of employee cognition and irrationality, challenging the dominant discourse and offering an alternative to gain greater competitive advantage in today's complex markets. It also provides an effective new framework on the best ways to develop relevant management skills as they pertain to hiring, performance management, change management, employee engagement, and goal setting. As the knowledge economy continues to grow, the social bonds within companies will prove to be a key differentiation to deliver on the next big idea. Developing productive decisions with staff in the talent-driven global economy increasingly requires the development of "intrinsic" meaning in work, a human-centered work-place culture, and human-focused working practices. This book tackles these topics in comprehensive and efficient detail. Provides a framework to simply and effectively apply behavioral principles in organizations of any size Focuses on agent motivations and behavior and how they directly impact talent management in the knowledge economy Highlights empirical studies, detailing the impact of heuristics on hiring, performance management, change management, employee engagement, and goal-setting decisions
Author: Srikanta Patnaik
Author: Srikanta Patnaik
Author: Louis Anthony Cox, Jr.
Author: Frank A. Tillman
Author: Fausto Pedro García Márquez
Author: Herbert Alexander Simon
Author: Raghu Nandan Sengupta
Author: Caroline M. Sipp
Author: Taosheng Wang
Author: Decision Sciences Institute. Annual Meeting
Author: Kelly Monahan