Upper echelons’ naturalistic decision-making and top management team macro cognition in a high reliability organization
Looser, Leonie
Upper echelons’ naturalistic decision-making and top management team macro cognition in a high reliability organization - Germany Springer Gabler 2024 - xxvii, 396 p.
Table of contents:
Introduction
Leonie Looser
Pages 1-7
Theoretical Foundations: The Organizational Context and High Reliability Theory
Leonie Looser
Pages 9-35
Theoretical Foundations: The Collaborative Context
Leonie Looser
Pages 37-84
Theoretical Foundations: The Decision-Making Context
Leonie Looser
Pages 85-156
Conceptualized Research Model and Conceptual Connections
Leonie Looser
Pages 157-162
Research Approach and Empirical Research Setting
Leonie Looser
Pages 163-190
Empirical Findings and Analysis
Leonie Looser
Pages 191-334
Summary and Discussion of Key Findings
Leonie Looser
Pages 335-350
Research Contributions, Conclusion and Outlook
Leonie Looser
Pages 351-356
[https://link.springer.com/book/10.1007/978-3-658-44073-2]
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.
[https://link.springer.com/book/10.1007/978-3-658-44073-2]
9783658440725
Top management
Decision-Making
Reliability organization
Leadership
658.4092 / LOO
Upper echelons’ naturalistic decision-making and top management team macro cognition in a high reliability organization - Germany Springer Gabler 2024 - xxvii, 396 p.
Table of contents:
Introduction
Leonie Looser
Pages 1-7
Theoretical Foundations: The Organizational Context and High Reliability Theory
Leonie Looser
Pages 9-35
Theoretical Foundations: The Collaborative Context
Leonie Looser
Pages 37-84
Theoretical Foundations: The Decision-Making Context
Leonie Looser
Pages 85-156
Conceptualized Research Model and Conceptual Connections
Leonie Looser
Pages 157-162
Research Approach and Empirical Research Setting
Leonie Looser
Pages 163-190
Empirical Findings and Analysis
Leonie Looser
Pages 191-334
Summary and Discussion of Key Findings
Leonie Looser
Pages 335-350
Research Contributions, Conclusion and Outlook
Leonie Looser
Pages 351-356
[https://link.springer.com/book/10.1007/978-3-658-44073-2]
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.
[https://link.springer.com/book/10.1007/978-3-658-44073-2]
9783658440725
Top management
Decision-Making
Reliability organization
Leadership
658.4092 / LOO