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Book Synopsis Upper Echelons’ Naturalistic Decision-Making and Top Management Team Macrocognition in a High Reliability Organization by : Leonie Looser
Download or read book Upper Echelons’ Naturalistic Decision-Making and Top Management Team Macrocognition in a High Reliability Organization written by Leonie Looser and published by Springer Nature. This book was released on with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt:
The book analyzes crisis decision-making of a major German airline's operational top management team during the Covid-19 crisis. The operational top manager's relevant decision-making entity, the crisis management team, was faced with substantial time-critical decisions in volatile circumstances as well as the need to balance ambidextrous exigencies with the operation's short-term survival as well as its future viability. The author applies her ethnographic perspective and develops an analysis based on the unique combination of naturalistic decision-making, top management team research, high reliability organizations and ambidexterity as well as team diversity. The work is targeted at both management professionals, as it identifies best pratices and learnings from a polycrisis case, as well as researchers, as it makes a novel contribution to decision-making in the context of high reliability organizations.
Book Synopsis Upper Echelons’ Naturalistic Decision-Making and Top Management Team Macrocognition in a High Reliability Organization by : Leonie Looser
Download or read book Upper Echelons’ Naturalistic Decision-Making and Top Management Team Macrocognition in a High Reliability Organization written by Leonie Looser and published by Springer Gabler. This book was released on 2024-05-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book analyzes crisis decision-making of a major German airline's operational top management team during the Covid-19 crisis. The operational top manager's relevant decision-making entity, the crisis management team, was faced with substantial time-critical decisions in volatile circumstances as well as the need to balance ambidextrous exigencies with the operation's short-term survival as well as its future viability. The author applies her ethnographic perspective and develops an analysis based on the unique combination of naturalistic decision-making, top management team research, high reliability organizations and ambidexterity as well as team diversity. The work is targeted at both management professionals, as it identifies best pratices and learnings from a polycrisis case, as well as researchers, as it makes a novel contribution to decision-making in the context of high reliability organizations.
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.
Book Synopsis Naturalistic Decision Making and Macrocognition by : Laura Militello
Download or read book Naturalistic Decision Making and Macrocognition written by Laura Militello and published by CRC Press. This book was released on 2017-09-18 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
The increasing complexity of work systems and changes in the nature of workplace technology over the past century have resulted in an exponential shift in the nature of work activities, from physical labor to cognitive work. Modern work systems have many characteristics that make them cognitively complex: They can be highly interactive; comprised of multiple agents and artifacts; information may be limited and distributed across space and time; task goals are frequently ill-defined, conflicting, dynamic and emergent; planning may only be possible at general levels of abstraction or require adaptive solutions; some degree of proficiency or expertise is required; the stakes are often high; and uncertainty, time-constraints and stress are seldom absent. To complicate matters further, cognition in complex work settings is typically constrained by broader professional, organizational, and institutional practice and policy. These features of cognitive work present significant challenges to scientific methodology and theory, and subsequent design of reliable interventions. Historically, philosophers and scientists have attempted to understand the mental activities experienced during cognitive work at multiple levels of analysis using divergent methods. Some have examined cognition at an associative, contextual, functional or holistic level, relying on naturalistic methods to understand the higher mental processes as they work in harmony during goal-directed behavior. Others have embraced experimental methods and favored internal over external validity, often reducing cognition to a psychology of fundamental acts, such as short-term memory access with millisecond shifts in attention. More recently, Macrocognition has evolved as a complementary paradigm. Macrocognitive researchers have studied the cognitive functions and processes associated with skilled, adaptive, collaborative, and resilient cognitive work in the context of the aforementioned complexities of psychotechnical and sociotechnical work systems. Typically, this research has been carried out using cognitive task analytic techniques that draw on both naturalistic and (quasi-)experimental methods. The primary goals of research in Macrocognition are to better understand cognitive adaptations to complexity, to increase our theoretical understanding of the organism-environment relations by studying the mapping between cognitive work and real-world demands, and to promote use-inspired research capable of improving system performance.
Book Synopsis Macrocognition: The Science and Engineering of Sociotechnical Work Systems by :
Download or read book Macrocognition: The Science and Engineering of Sociotechnical Work Systems written by and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing complexity of work systems and changes in the nature of workplace technology over the past century have resulted in an exponential shift in the nature of work activities, from physical labor to cognitive work. Modern work systems have many characteristics that make them cognitively complex: They can be highly interactive; comprised of multiple agents and artifacts; information may be limited and distributed across space and time; task goals are frequently ill-defined, conflicting, dynamic and emergent; planning may only be possible at general levels of abstraction or require adaptive solutions; some degree of proficiency or expertise is required; the stakes are often high; and uncertainty, time-constraints and stress are seldom absent. To complicate matters further, cognition in complex work settings is typically constrained by broader professional, organizational, and institutional practice and policy. These features of cognitive work present significant challenges to scientific methodology and theory, and subsequent design of reliable interventions. Historically, philosophers and scientists have attempted to understand the mental activities experienced during cognitive work at multiple levels of analysis using divergent methods. Some have examined cognition at an associative, contextual, functional or holistic level, relying on naturalistic methods to understand the higher mental processes as they work in harmony during goal-directed behavior. Others have embraced experimental methods and favored internal over external validity, often reducing cognition to a psychology of fundamental acts, such as short-term memory access with millisecond shifts in attention. More recently, Macrocognition has evolved as a complementary paradigm. Macrocognitive researchers have studied the cognitive functions and processes associated with skilled, adaptive, collaborative, and resilient cognitive work in the context of the aforementioned complexities of psychotechnical and sociotechnical work systems. Typically, this research has been carried out using cognitive task analytic techniques that draw on both naturalistic and (quasi-)experimental methods. The primary goals of research in Macrocognition are to better understand cognitive adaptations to complexity, to increase our theoretical understanding of the organism-environment relations by studying the mapping between cognitive work and real-world demands, and to promote use-inspired research capable of improving system performance.
As ubiquitous as the atmosphere, intelligent adaptive systems (IASs) surround us in our daily lives. When designed well, these systems sense users and their environments so that they can provide support in a manner that is not only responsive to the evolving situation, but unnoticed by the user. A synthesis of recent research and developments on IASs from the human factors (HF) and human–computer interaction (HCI) domains, Intelligent Adaptive Systems: An Interaction-Centered Design Perspective provides integrated design guidance and recommendations for researchers and system developers. The book explores a recognized lack of integration between the HF and HCI research communities, which has led to inconsistencies between the research approaches adopted, and a lack of exploitation of research from one field by the other. The authors integrate theories and methodologies from these domains to provide design recommendations for human–machine developers. They then establish design guidance through the review of conceptual frameworks, analytical methodologies, and design processes for intelligent adaptive systems. The book draws on case studies from the military, medical, and distance learning domains to illustrate intelligent system design to examine lessons learned. Outlining an interaction-centered perspective for designing an IAS, the book details methodologies for understanding human work in complex environments and offers understanding about why and how optimizing human–machine interaction should be central to the design of IASs. The authors present an analytical and design methodology as well as an implementation strategy that helps you choose the proper design framework for your needs.
Book Synopsis Intelligent Adaptive Systems by : Ming Hou
Download or read book Intelligent Adaptive Systems written by Ming Hou and published by CRC Press. This book was released on 2014-12-02 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: As ubiquitous as the atmosphere, intelligent adaptive systems (IASs) surround us in our daily lives. When designed well, these systems sense users and their environments so that they can provide support in a manner that is not only responsive to the evolving situation, but unnoticed by the user. A synthesis of recent research and developments on IASs from the human factors (HF) and human–computer interaction (HCI) domains, Intelligent Adaptive Systems: An Interaction-Centered Design Perspective provides integrated design guidance and recommendations for researchers and system developers. The book explores a recognized lack of integration between the HF and HCI research communities, which has led to inconsistencies between the research approaches adopted, and a lack of exploitation of research from one field by the other. The authors integrate theories and methodologies from these domains to provide design recommendations for human–machine developers. They then establish design guidance through the review of conceptual frameworks, analytical methodologies, and design processes for intelligent adaptive systems. The book draws on case studies from the military, medical, and distance learning domains to illustrate intelligent system design to examine lessons learned. Outlining an interaction-centered perspective for designing an IAS, the book details methodologies for understanding human work in complex environments and offers understanding about why and how optimizing human–machine interaction should be central to the design of IASs. The authors present an analytical and design methodology as well as an implementation strategy that helps you choose the proper design framework for your needs.
For Resilience Engineering, 'failure' is the result of the adaptations necessary to cope with the complexity of the real world, rather than a malfunction. Human performance must continually adjust to current conditions and, because resources and time are finite, such adjustments are always approximate. Featuring contributions from leading international figures in human factors and safety, Resilience Engineering provides thought-provoking insights into system safety as an aggregate of its various components - subsystems, software, organizations, human behaviours - and the way in which they interact.
Book Synopsis Resilience Engineering by : Professor David D Woods
Download or read book Resilience Engineering written by Professor David D Woods and published by Ashgate Publishing, Ltd.. This book was released on 2012-10-01 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: For Resilience Engineering, 'failure' is the result of the adaptations necessary to cope with the complexity of the real world, rather than a malfunction. Human performance must continually adjust to current conditions and, because resources and time are finite, such adjustments are always approximate. Featuring contributions from leading international figures in human factors and safety, Resilience Engineering provides thought-provoking insights into system safety as an aggregate of its various components - subsystems, software, organizations, human behaviours - and the way in which they interact.
Book Synopsis Theory Testing in Organizational Behavior by : Fred Dansereau
Download or read book Theory Testing in Organizational Behavior written by Fred Dansereau and published by Prentice Hall. This book was released on 1984 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:
An exploration of contemporary theories in the fields of industrial and organizational psychology, micro-organizational behavior, and human resource management.
Book Synopsis Industrial and Organizational Psychology by : Ernest James McCormick
Download or read book Industrial and Organizational Psychology written by Ernest James McCormick and published by . This book was released on 1987 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: An exploration of contemporary theories in the fields of industrial and organizational psychology, micro-organizational behavior, and human resource management.
This volume presents a cross-disciplinary perspective to determine how team cognition contributes to effective team performance.
Book Synopsis Team Cognition by : Eduardo Salas
Download or read book Team Cognition written by Eduardo Salas and published by Amer Psychological Assn. This book was released on 2004-01-01 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a cross-disciplinary perspective to determine how team cognition contributes to effective team performance.
Information dominance may be defined as superiority in the generation, manipulation, and use of information sufficient to afford its possessors military dominance. It has three sources: Command and control that permits everyone to know where they (and their cohorts) are in the battlespace, and enables them to execute operations when and as quickly as necessary; Intelligence that ranges from knowing the enemy's dispositions to knowing the location of enemy assets in real-time with sufficient precision for a one-shot kill; information warfare that confounds enemy information systems at various points (sensors, communications, processing, and command), while protecting one's own. Technical means, nevertheless, are no substitute for information dominance at the strategic level: knowing oneself and one's enemy; and, at best, inducing them to see things as one does.
Book Synopsis Information Dominance by : Martin C. Libicki
Download or read book Information Dominance written by Martin C. Libicki and published by . This book was released on 1997 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information dominance may be defined as superiority in the generation, manipulation, and use of information sufficient to afford its possessors military dominance. It has three sources: Command and control that permits everyone to know where they (and their cohorts) are in the battlespace, and enables them to execute operations when and as quickly as necessary; Intelligence that ranges from knowing the enemy's dispositions to knowing the location of enemy assets in real-time with sufficient precision for a one-shot kill; information warfare that confounds enemy information systems at various points (sensors, communications, processing, and command), while protecting one's own. Technical means, nevertheless, are no substitute for information dominance at the strategic level: knowing oneself and one's enemy; and, at best, inducing them to see things as one does.
