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Author: Jay Liebowitz
Publisher: Taylor & Francis
ISBN: 1000023656
Category : Business & Economics
Languages : en
Pages : 223
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Book Description
This book examines how to develop the main traits that are necessary to become an “informed intuitant”. Case studies and examples of successful “informed intuitants” are a major component of the book. “Intuitant” is someone who has the intuitive awareness to be successful. “Informed intuitant” indicates that the individual/decision maker not only applies his/her intuition but also verifies it through using data-driven approaches (such as data analytics). Some of this work resulted from research examining how well do executives trust their intuition.
Author: Jay Liebowitz
Publisher: Taylor & Francis
ISBN: 1000023656
Category : Business & Economics
Languages : en
Pages : 223
Get Book Here
Book Description
This book examines how to develop the main traits that are necessary to become an “informed intuitant”. Case studies and examples of successful “informed intuitants” are a major component of the book. “Intuitant” is someone who has the intuitive awareness to be successful. “Informed intuitant” indicates that the individual/decision maker not only applies his/her intuition but also verifies it through using data-driven approaches (such as data analytics). Some of this work resulted from research examining how well do executives trust their intuition.
Author: Jay Liebowitz
Publisher: Taylor & Francis
ISBN: 1000024199
Category : Business & Economics
Languages : en
Pages : 158
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Book Description
This book examines how to develop the main traits that are necessary to become an “informed intuitant”. Case studies and examples of successful “informed intuitants” are a major component of the book. “Intuitant” is someone who has the intuitive awareness to be successful. “Informed intuitant” indicates that the individual/decision maker not only applies his/her intuition but also verifies it through using data-driven approaches (such as data analytics). Some of this work resulted from research examining how well do executives trust their intuition.
Author: Henning Plessner
Publisher: Psychology Press
ISBN: 1136875220
Category : Psychology
Languages : en
Pages : 356
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Book Description
The central goal of this volume is to bring the learning perspective into the discussion of intuition in judgment and decision making. The book gathers recent work on intuitive decision making that goes beyond the current dominant heuristic processing perspective. However, that does not mean that the book will strictly oppose this perspective. The unique perspective of this book will help to tie together these different conceptualizations of intuition and develop an integrative approach to the psychological understanding of intuition in judgment and decision making. Accordingly, some of the chapters reflect prior research from the heuristic processing perspective in the new light of the learning perspective. This book provides a representative overview of what we currently know about intuition in judgment and decision making. The authors provide latest theoretical developments, integrative frameworks and state-of-the-art reviews of research in the laboratory and in the field. Moreover, some chapters deal with applied topics. Intuition in Judgment and Decision Making aims not only at the interest of students and researchers of psychology, but also at scholars from neighboring social and behavioral sciences such as economy, sociology, political sciences, and neurosciences.
Author: Jason Apollo Voss
Publisher: SelectBooks, Inc.
ISBN: 1590792416
Category : Business & Economics
Languages : en
Pages : 415
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Book Description
"Successful Wall Street fund manager retired at age 35 guides investors to use intuitive and creative right-brained processes to complement traditional left-brain financial analysis. Author describes his principles based on spiritual insights and provides professional anecdotes to support his. theories"--Provided by publisher.
Author: Jonathan Baron
Publisher: Oxford University Press, USA
ISBN: 0195111087
Category : Policy sciences
Languages : en
Pages : 238
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Book Description
People often follow intuitive principles of decision making, ranging from group loyalty to the belief that nature is benign. But instead of using these principles as rules of thumb, we often treat them as absolutes and ignore the consequences of following them blindly. In Judgment Misguided, Jonathan Baron explores our well-meant and deeply felt personal intuitions about what is right and wrong, and how they affect the public domain. Baron argues that when these intuitions are valued in their own right, rather than as a means to another end, they often prevent us from achieving the results we want. Focusing on cases where our intuitive principles take over public decision making, the book examines some of our most common intuitions and the ways they can be misused. According to Baron, we can avoid these problems by paying more attention to the effects of our decisions. Written in a accessible style, the book is filled with compelling case studies, such as abortion, nuclear power, immigration, and the decline of the Atlantic fishery, among others, which illustrate a range of intuitions and how they impede the public's best interests. Judgment Misguided will be important reading for those involved in public decision making, and researchers and students in psychology and the social sciences, as well as everyone looking for insight into the decisions that affect us all.
Author: Effrosyni Kostara
Publisher: Routledge
ISBN: 0429834195
Category : Education
Languages : en
Pages : 240
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Book Description
Transformative Learning Theory and Praxis examines the multi-faceted nature of transformative learning and transformation theory including its merits, restrictions, and possibilities, and presents carefully chosen international case studies and theoretical approaches that enrich the application of the theory within a wide variety of educational settings. By including new approaches to transformative learning theory, this book provides examples and teaching approaches coming from a variety of disciplines, including higher education, arts, classics, new technologies, and academic development. It bridges the gap between theory and practice to help teachers and adult educators embed potentially transformational techniques in the curriculum. Based on in-depth research, this key title provides a means of measuring and documenting transformative outcomes in qualitative studies of high impact learning experiences, and raises new questions and opportunities for the future development of the field. Transformative Learning Theory and Praxis is a must-read text for anyone interested in the research behind, and applications of, transformative learning and transformation theory, including researchers, students, and policy-makers in the field.
Author: Eugene Sadler-Smith
Publisher: Routledge
ISBN: 0415414520
Category : Business & Economics
Languages : en
Pages : 370
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Book Description
This engaging overview of the academic theory of intuition and its cultural, psychological and philosophical background is essential reading for anyone interested in personal development and decision-making.
Author: Jay Liebowitz
Publisher: CRC Press
ISBN: 1000094650
Category : Computers
Languages : en
Pages : 267
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Book Description
Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.
Author: Kim Schildkamp
Publisher: Springer Science & Business Media
ISBN: 9400748159
Category : Education
Languages : en
Pages : 221
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Book Description
In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students’ assessments, classroom observations etc. This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are ‘best practice’ studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.
Author: Joao Luis de Miranda
Publisher: CRC Press
ISBN: 1351778722
Category : Business & Economics
Languages : en
Pages : 263
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Book Description
The large and complex challenges the world is facing, the growing prevalence of huge data sets, and the new and developing ways for addressing them (artificial intelligence, data science, machine learning, etc.), means it is increasingly vital that academics and professionals from across disciplines have a basic understanding of the mathematical underpinnings of effective, optimized decision-making. Without it, decision makers risk being overtaken by those who better understand the models and methods, that can best inform strategic and tactical decisions. Introduction to Optimization-Based Decision-Making provides an elementary and self-contained introduction to the basic concepts involved in making decisions in an optimization-based environment. The mathematical level of the text is directed to the post-secondary reader, or university students in the initial years. The prerequisites are therefore minimal, and necessary mathematical tools are provided as needed. This lean approach is complemented with a problem-based orientation and a methodology of generalization/reduction. In this way, the book can be useful for students from STEM fields, economics and enterprise sciences, social sciences and humanities, as well as for the general reader interested in multi/trans-disciplinary approaches. Features Collects and discusses the ideas underpinning decision-making through optimization tools in a simple and straightforward manner Suitable for an undergraduate course in optimization-based decision-making, or as a supplementary resource for courses in operations research and management science Self-contained coverage of traditional and more modern optimization models, while not requiring a previous background in decision theory
