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Building Organisational Resilience: Four Configurations

Burnard, K.; Bhamra, R.; Tsinopoulos, C.

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Authors

K. Burnard

R. Bhamra

C. Tsinopoulos



Abstract

This paper empirically explores the organizational processes at the onset of disruptions and the factors that determine different configurations of responses. It examines how processes of response, both before and in the aftermath of a disruption, support the building and development of organizational resilience. Using case study data from three U.K. based organizations, this paper makes the following three contributions. First, it identifies the common elements involved in decision making at the onset of a disruption, and explains the iterative stages and processes that led to the development of resilience. It explains the criticality and relationships between the elements of detection, activation, and response. Second, this paper explains why responses vary from one situation to another, by identifying two dimensions that determine the configurations of organizational resilience, namely Preparedness and Adaption. Third, this paper presents the resilience configurations matrix that gives rise to and establishes four distinct types of organizational configurations, which are Process Based, Resourceful, At High Risk, and Resilience Focused. This paper concludes by discussing the implications for theory and practice of resilience.

Citation

Burnard, K., Bhamra, R., & Tsinopoulos, C. (2018). Building Organisational Resilience: Four Configurations. IEEE Transactions on Engineering Management, 65(3), 351-362. https://doi.org/10.1109/tem.2018.2796181

Journal Article Type Article
Acceptance Date Dec 18, 2017
Online Publication Date Feb 23, 2018
Publication Date Aug 1, 2018
Deposit Date Jan 22, 2018
Publicly Available Date Jan 22, 2018
Journal IEEE Transactions on Engineering Management
Print ISSN 0018-9391
Electronic ISSN 1558-0040
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 65
Issue 3
Pages 351-362
DOI https://doi.org/10.1109/tem.2018.2796181
Public URL https://durham-repository.worktribe.com/output/1367964

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© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.




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