Raanan Lipshitz – författare

This book presents the latest work in the area of naturalistic decision making (NDM) and its extension into the area of macrocognition. It contains 18 chapters relating research centered on the study of expertise in naturalistic settings, written by international experts in NDM and cognitive systems engineering. The objective of the book is to present the reader with exciting new developments in this field of research, which is characterized by its application-oriented focus. The work addresses only real-world problems and issues. For instance, how do multi-national teams collaborate effectively? How can surgeons best be supported by technology? How do detectives make sense of complex criminal cases? In all instances the studies have been carried out on experts within their respective domains. The traditional field of NDM is extended in this work by focusing on macrocognitive functions other than decision making, namely sense-making, coordination and planning. This has broadened the scope of the field. The book also contains a theoretical discussion of the macro-micro distinction. Naturalistic Decision Making and Macrocognition will be relevant to graduate students, researchers and professionals (including professionals and researchers in business, industry and government) who are interested in decision making, expertise, training methods and system design. The material may be used in two ways: theoretically, to advance understanding of the field of naturalistic decision making; and practically, to gain insight into how experts in various domains solve particular problems, understand and deal with issues and collaborate with others.

This volume is the fruit of the 5th conference on Naturalistic Decision Making which focused on the importance of studying people who have some degree of expertise in the domain in which they make decisions. The substantive concerns pertain to how individuals and groups make decisions in professional and organizational settings, and to develop suit

This book presents the latest work in the area of naturalistic decision making (NDM) and its extension into the area of macrocognition. It contains 18 chapters relating research centered on the study of expertise in naturalistic settings, written by international experts in NDM and cognitive systems engineering. The objective of the book is to present the reader with exciting new developments in this field of research, which is characterized by its application-oriented focus. The work addresses only real-world problems and issues. For instance, how do multi-national teams collaborate effectively? How can surgeons best be supported by technology? How do detectives make sense of complex criminal cases? In all instances the studies have been carried out on experts within their respective domains. The traditional field of NDM is extended in this work by focusing on macrocognitive functions other than decision making, namely sense-making, coordination and planning. This has broadened the scope of the field. The book also contains a theoretical discussion of the macro-micro distinction. Naturalistic Decision Making and Macrocognition will be relevant to graduate students, researchers and professionals (including professionals and researchers in business, industry and government) who are interested in decision making, expertise, training methods and system design. The material may be used in two ways: theoretically, to advance understanding of the field of naturalistic decision making; and practically, to gain insight into how experts in various domains solve particular problems, understand and deal with issues and collaborate with others.

This book presents the latest work in the area of naturalistic decision making (NDM) and its extension into the area of macrocognition. It contains 18 chapters relating research centered on the study of expertise in naturalistic settings, written by international experts in NDM and cognitive systems engineering. The objective of the book is to present the reader with exciting new developments in this field of research, which is characterized by its application-oriented focus. The work addresses only real-world problems and issues. For instance, how do multi-national teams collaborate effectively? How can surgeons best be supported by technology? How do detectives make sense of complex criminal cases? In all instances the studies have been carried out on experts within their respective domains. The traditional field of NDM is extended in this work by focusing on macrocognitive functions other than decision making, namely sense-making, coordination and planning. This has broadened the scope of the field. The book also contains a theoretical discussion of the macro-micro distinction. Naturalistic Decision Making and Macrocognition will be relevant to graduate students, researchers and professionals (including professionals and researchers in business, industry and government) who are interested in decision making, expertise, training methods and system design. The material may be used in two ways: theoretically, to advance understanding of the field of naturalistic decision making; and practically, to gain insight into how experts in various domains solve particular problems, understand and deal with issues and collaborate with others.

This book presents the latest work in the area of naturalistic decision making (NDM) and its extension into the area of macrocognition. It contains 18 chapters relating research centered on the study of expertise in naturalistic settings, written by international experts in NDM and cognitive systems engineering. The objective of the book is to present the reader with exciting new developments in this field of research, which is characterized by its application-oriented focus. The work addresses only real-world problems and issues. For instance, how do multi-national teams collaborate effectively? How can surgeons best be supported by technology? How do detectives make sense of complex criminal cases? In all instances the studies have been carried out on experts within their respective domains. The traditional field of NDM is extended in this work by focusing on macrocognitive functions other than decision making, namely sense-making, coordination and planning. This has broadened the scope of the field. The book also contains a theoretical discussion of the macro-micro distinction. Naturalistic Decision Making and Macrocognition will be relevant to graduate students, researchers and professionals (including professionals and researchers in business, industry and government) who are interested in decision making, expertise, training methods and system design. The material may be used in two ways: theoretically, to advance understanding of the field of naturalistic decision making; and practically, to gain insight into how experts in various domains solve particular problems, understand and deal with issues and collaborate with others.

This volume is the fruit of the 5th conference on Naturalistic Decision Making which focused on the importance of studying people who have some degree of expertise in the domain in which they make decisions. The substantive concerns pertain to how individuals and groups make decisions in professional and organizational settings, and to develop suit

This book presents a solid, research-based conceptual framework that demystifies organizational learning and bridges the gap between theory and practice. Using an integrative approach, authors Raanan Lipshitz, Victor Friedman and Micha Popper provide practitioners and researchers with tools for understanding organizational learning under real-world conditions.    Key Features: Tackles the problem of mystification: A clear message is presented that organizational learning and related concepts have been mystified in a way that is unnecessary and dysfunctional to both theory and practice. This book provides a unique set of tools for understanding, promoting, and studying organizational learning. Introduces an integrative theme that addresses three key questions: How can organizations actually learn? What is the key for productive organizational learning? When is productive organizational learning likely to occur? Answering these questions is the key to clarifying the conceptual confusion that plagues the related fields of organizational learning, learning organizations, and knowledge management. Illuminates organizational reality: All of the concepts presented in the book are illustrated through concrete case examples. Detailed analyses are provided of both successful and unsuccessful applications of organizational learning. In addition, examples of interventions to develop organizational learning are included to help managers and consultants.  

Intended Audience: This book is designed for advanced undergraduate and graduate courses such as Organizational Learning, Knowledge Management, and Organizational Behavior in the departments of Management, Organizational Behavior, Psychology, and Sociology.

This book presents a solid, research-based conceptual framework that demystifies organizational learning and bridges the gap between theory and practice. Using an integrative approach, authors Raanan Lipshitz, Victor Friedman and Micha Popper provide practitioners and researchers with tools for understanding organizational learning under real-world conditions.    Key Features: Tackles the problem of mystification: A clear message is presented that organizational learning and related concepts have been mystified in a way that is unnecessary and dysfunctional to both theory and practice. This book provides a unique set of tools for understanding, promoting, and studying organizational learning. Introduces an integrative theme that addresses three key questions: How can organizations actually learn? What is the key for productive organizational learning? When is productive organizational learning likely to occur? Answering these questions is the key to clarifying the conceptual confusion that plagues the related fields of organizational learning, learning organizations, and knowledge management. Illuminates organizational reality: All of the concepts presented in the book are illustrated through concrete case examples. Detailed analyses are provided of both successful and unsuccessful applications of organizational learning. In addition, examples of interventions to develop organizational learning are included to help managers and consultants.  

Intended Audience: This book is designed for advanced undergraduate and graduate courses such as Organizational Learning, Knowledge Management, and Organizational Behavior in the departments of Management, Organizational Behavior, Psychology, and Sociology.