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Morphing management methods to build rapid resiliency during crisis

Bibliographic Data

ID21570852
AuthorsKrista L Oliver (0000-0001-7065-3478, Department of Geography University School of Tourism and Hotel Management Universitat Autonoma de Barcelona Placa Civica Bellaterra Spain, corresponding author), Alexandra Simon (0000-0003-0803-8997, Business Department Universitat Autonoma de Barcelona Placa Civica Bellaterra Spain), José A Corral‐marfil (0000-0003-0782-3109, Department of Economics and Business University of Vic Central University of Catalonia Vic Spain)
Year2025
Volume42
Issue3
Publication date2025-09-01
Open AccessYes
TypeARTICLE
VenueCanadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration (JOURNAL)
Journal identifiersISSN: 0825-0383 • E-ISSN: 1936-4490
PublisherWiley (PUBLISHER • GB)
DOI10.1002/cjas.1779
OpenAlexW4408386165
LanguageEN
References cited52

The tourism industry was drastically impacted during the COVID‐19 pandemic which caused managers to face uncertainty and unprecedented challenges. An interpretative case study of an international airline was conducted which revealed rich insights and descriptive stories captured through interviews. A cross‐interview analysis and iterative coding, inductively led to concept development. A new concept of Rapid Resiliency is distinguished from Organizational Resiliency based on the element of compressed time. Organizational Resiliency is a capacity built over time whereas Rapid Resiliency describes the building of resiliency quickly while living through a crisis experience. The model shows that pandemic driven environmental changes including decreasing passenger demand, travel restrictions and stringent health measures placed extraordinary pressure on the airline. Four propositions are presented describing management approaches that culminate to help organizations build resiliency swiftly during crisis

Business · Crisis management · Economics · Management · Morphing · Process management · Complex Systems and Decision Making · Computer Science · Infrastructure Resilience and Vulnerability Analysis · Supply Chain Resilience and Risk Management · Artificial Intelligence

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