TY - JOUR
T1 - Modeling an incident management team as a joint cognitive system
AU - Son, Changwon
AU - Sasangohar, Farzan
AU - Camille Peres, S.
AU - Neville, Timothy J.
AU - Moon, Jukrin
AU - Sam Mannan, M.
N1 - Funding Information:
The research presented in this paper was supported by an internal award from Mary Kay O'Connor Process Safety Center and a National Science Foundation EAGER grant [Grant Number: 1724676 ]. The sponsors had no involvement in the conduct of the research and/or preparation of this article. The authors would like to thank Karim Zahed, Vu Hoang Le, Trevor Hennington, Alec Smith, Katherine Renter, Michelle Bian, and Justin Wood for their support in data collection and analysis.
Funding Information:
The research presented in this paper was supported by an internal award from Mary Kay O'Connor Process Safety Center and a National Science Foundation EAGER grant [Grant Number: 1724676]. The sponsors had no involvement in the conduct of the research and/or preparation of this article. The authors would like to thank Karim Zahed, Vu Hoang Le, Trevor Hennington, Alec Smith, Katherine Renter, Michelle Bian, and Justin Wood for their support in data collection and analysis.
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/11
Y1 - 2018/11
N2 - Resilience is considered an essential capability of an Incident Management Team (IMT) in planning for and responding to disasters and catastrophes. While IMTs have been studied as a decision-making unit, few attempts were made to view them from a Joint Cognitive System (JCS) perspective that highlights the interplay among humans and technical agents and demands imposed by the incident. To that end, this paper presents a JCS model of the IMT grounded in findings from the existing literature and naturalistic observations of simulated IMT's incident action planning, which functions in a cyclic manner across multiple scales. Using this model, three measures for resilience of the IMT, recovery time, resource status, and interactions, are discussed. To effectively represent the resilient performance incorporating these measures, a novel adoption of the Interactive Episode Analysis method is utilized. By providing a few examples of the analysis method, this study provides proof-of-concept for objective assessment of the resilience characteristics of the IMT. The proposed JCS-based IMT model can be used for descriptive modeling of similar systems to investigate resilient performance.
AB - Resilience is considered an essential capability of an Incident Management Team (IMT) in planning for and responding to disasters and catastrophes. While IMTs have been studied as a decision-making unit, few attempts were made to view them from a Joint Cognitive System (JCS) perspective that highlights the interplay among humans and technical agents and demands imposed by the incident. To that end, this paper presents a JCS model of the IMT grounded in findings from the existing literature and naturalistic observations of simulated IMT's incident action planning, which functions in a cyclic manner across multiple scales. Using this model, three measures for resilience of the IMT, recovery time, resource status, and interactions, are discussed. To effectively represent the resilient performance incorporating these measures, a novel adoption of the Interactive Episode Analysis method is utilized. By providing a few examples of the analysis method, this study provides proof-of-concept for objective assessment of the resilience characteristics of the IMT. The proposed JCS-based IMT model can be used for descriptive modeling of similar systems to investigate resilient performance.
KW - Cognitive systems
KW - Disaster response
KW - Emergency management
KW - Incident action planning process
KW - Resilience engineering
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U2 - 10.1016/j.jlp.2018.07.021
DO - 10.1016/j.jlp.2018.07.021
M3 - Article
AN - SCOPUS:85053471017
SN - 0950-4230
VL - 56
SP - 231
EP - 241
JO - Journal of Loss Prevention in the Process Industries
JF - Journal of Loss Prevention in the Process Industries
ER -