Quantifying and mapping resilience within large organizations
Matthew D. Wood,
Emily M. Wells,
Glenn Rice and
Igor Linkov
Omega, 2019, vol. 87, issue C, 117-126
Abstract:
To complement risk assessment, large organizations need to be resilient in order to maintain critical functioning in the face of uncertain future threats (whether the threat is environmental, cyber, security-related, social, etc.). Given the complexity of both large organizations and future threat space, it is challenging to enact programs and protocols that ensure resilience across whole organizations. We propose that large organizations can map current organizational resilience across threat event cycle phases (Plan, Absorb, Recover, Adapt) and context-specific resilience domains (Physical, Information, Cognitive, and Social) to contextualized resilience metrics. Subcomponents then can be compared to one another through dashboards or quantitative indices to facilitate decision making for resilience through identifying organizational strengths, weakness, synergies, and redundancies across its subcomponents in the context of their associated missions and capabilities. The United States Department of the Army is used as a case study example of how resilience approaches of large, complex organizations can be visualized to enable resilience insights using this methodology.
Keywords: Case study; Decision support systems; Group decisions; Management; Planning and control; Risk (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0305048317309878
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jomega:v:87:y:2019:i:c:p:117-126
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.omega.2018.08.012
Access Statistics for this article
Omega is currently edited by B. Lev
More articles in Omega from Elsevier
Bibliographic data for series maintained by Catherine Liu ().