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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.
Book Synopsis New Paradigm in Decision Science and Management by : Srikanta Patnaik
Download or read book New Paradigm in Decision Science and Management written by Srikanta Patnaik and published by Springer Nature. This book was released on 2019-09-20 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Encyclopedia of Data Science and Machine Learning by : Wang, John
Download or read book Encyclopedia of Data Science and Machine Learning written by Wang, John and published by IGI Global. This book was released on 2023-01-20 with total page 3296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis New Paradigm of Industry 4.0 by : Srikanta Patnaik
Download or read book New Paradigm of Industry 4.0 written by Srikanta Patnaik and published by Springer Nature. This book was released on 2019-08-21 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Breakthroughs in Decision Science and Risk Analysis by : Louis Anthony Cox, Jr.
Download or read book Breakthroughs in Decision Science and Risk Analysis written by Louis Anthony Cox, Jr. and published by John Wiley & Sons. This book was released on 2015-02-18 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the field of digital transformation and tourism. Sustainability, Big Data, and Corporate Social Responsibility: Evidence from the Tourism Industry offers a theoretical and empirical framework in the field of digital transformation and applies it to the tourism sector. It discusses Big Data used with CSR and sustainability for the improvement of innovation and highlights the challenges and prospects. It presents a modern insight and approach for use by decision-makers as an application to solve various problems and explores how data collection can shed light on consumer behavior making it possible to account for existing situations and plan for the future. This book is intended to provide a modern insight for researcher, students, professionals, and decision-makers on the application of Big Data to improve CSR and sustainability in the tourism sector.
Book Synopsis Sustainability, Big Data, and Corporate Social Responsibility by : Mohammed El Amine Abdelli
Download or read book Sustainability, Big Data, and Corporate Social Responsibility written by Mohammed El Amine Abdelli and published by CRC Press. This book was released on 2022-04-24 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the field of digital transformation and tourism. Sustainability, Big Data, and Corporate Social Responsibility: Evidence from the Tourism Industry offers a theoretical and empirical framework in the field of digital transformation and applies it to the tourism sector. It discusses Big Data used with CSR and sustainability for the improvement of innovation and highlights the challenges and prospects. It presents a modern insight and approach for use by decision-makers as an application to solve various problems and explores how data collection can shed light on consumer behavior making it possible to account for existing situations and plan for the future. This book is intended to provide a modern insight for researcher, students, professionals, and decision-makers on the application of Big Data to improve CSR and sustainability in the tourism sector.
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.
Book Synopsis The Future of Human Resource Management by : Mike Losey
Download or read book The Future of Human Resource Management written by Mike Losey and published by John Wiley & Sons. This book was released on 2007-05-11 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Decision Sciences by : Raghu Nandan Sengupta
Download or read book Decision Sciences written by Raghu Nandan Sengupta and published by CRC Press. This book was released on 2016-11-30 with total page 1042 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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
Book Synopsis How Behavioral Economics Influences Management Decision-Making by : Kelly Monahan
Download or read book How Behavioral Economics Influences Management Decision-Making written by Kelly Monahan and published by Academic Press. This book was released on 2018-08-02 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
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.
Book Synopsis Rethinking Talent Decisions by : Sharna Wiblen
Download or read book Rethinking Talent Decisions written by Sharna Wiblen and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-03-18 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Talent management is a central element of managerial discourse and organisational practice. This short-form book provides a succinct overview on the state of research on talent management. The authors set out the key themes, arguments, trends and future research trajectories of talent management, highlighting major works in the field. As a research topic with a fragmented body of knowledge, pluralistic perspectives are summarised, while workforce differentiation emerges as a central element. A critical introduction for students, scholars and reflective practitioners, this book guides readers through a relatively new and rapidly developing area of management research.
Book Synopsis Talent Management by : Anthony McDonnell
Download or read book Talent Management written by Anthony McDonnell and published by Routledge. This book was released on 2020-12-22 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: Talent management is a central element of managerial discourse and organisational practice. This short-form book provides a succinct overview on the state of research on talent management. The authors set out the key themes, arguments, trends and future research trajectories of talent management, highlighting major works in the field. As a research topic with a fragmented body of knowledge, pluralistic perspectives are summarised, while workforce differentiation emerges as a central element. A critical introduction for students, scholars and reflective practitioners, this book guides readers through a relatively new and rapidly developing area of management research.
