Back to Search Start Over

An Analytic Framework to Assess Organizational Resilience

Authors :
Riccardo Patriarca
Giulio Di Gravio
Francesco Costantino
Andrea Falegnami
Federico Bilotta
Source :
Safety and Health at Work, Vol 9, Iss 3, Pp 265-276 (2018)
Publication Year :
2018
Publisher :
Elsevier, 2018.

Abstract

Background: Resilience engineering is a paradigm for safety management that focuses on coping with complexity to achieve success, even considering several conflicting goals. Modern sociotechnical systems have to be resilient to comply with the variability of everyday activities, the tight-coupled and underspecified nature of work, and the nonlinear interactions among agents. At organizational level, resilience can be described as a combination of four cornerstones: monitoring, responding, learning, and anticipating. Methods: Starting from these four categories, this article aims at defining a semiquantitative analytic framework to measure organizational resilience in complex sociotechnical systems, combining the resilience analysis grid and the analytic hierarchy process. Results: This article presents an approach for defining resilience abilities of an organization, creating a structured domain-dependent framework to define a resilience profile at different levels of abstraction, and identifying weaknesses and strengths of the system and potential actions to increase system's adaptive capacity. An illustrative example in an anesthesia department clarifies the outcomes of the approach. Conclusion: The outcome of the resilience analysis grid, i.e., a weighed set of probing questions, can be used in different domains, as a support tool in a wider Safety-II oriented managerial action to bring safety management into the core business of the organization. Keywords: Complex system, Resilience, Resilience engineering, Safety management, Sociotechnical system

Details

Language :
English
ISSN :
20937911
Volume :
9
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Safety and Health at Work
Publication Type :
Academic Journal
Accession number :
edsdoj.609a0d2162c64676ab9547aa2d91010b
Document Type :
article
Full Text :
https://doi.org/10.1016/j.shaw.2017.10.005