The Dynamics of Change Following Extreme Events: Transition, Scale, and Adaptation in Systems Under Stress

DOI10.1177/0095399719869991
Date01 July 2020
Published date01 July 2020
Subject MatterArticles
https://doi.org/10.1177/0095399719869991
Administration & Society
2020, Vol. 52(6) 827 –861
© The Author(s) 2019
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DOI: 10.1177/0095399719869991
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Article
The Dynamics of Change
Following Extreme
Events: Transition,
Scale, and Adaptation in
Systems Under Stress
Louise K. Comfort1, Thomas W. Haase2,
Gunes Ertan3, and Steve R. Scheinert4
Abstract
Whether and how organizations adapt to risk in changing contexts is a
perennial problem in public administration. We explore this problem in a
comparative analysis of four hurricanes that struck the Gulf Coast in 2005
and 2008: Hurricanes Katrina and Gustav in Louisiana and Hurricanes
Rita and Ike in Texas. We use a framework of complex adaptive systems
to assess what changes facilitate this transition in disaster contexts and
what conditions inhibit adaptation. Methods include content and network
analysis, including the calculation of E/I index scores. Findings suggest that
investment in information technology and training in Louisiana following a
perceived poor response to Katrina in 2005 led to adaptive performance in
Gustav in 2008 in Louisiana, whereas minimal change following a perceived
credible response to Rita in 2005 led to slower adaptation in response to
Ike in 2008 in Texas.
1University of Pittsburgh, PA, USA
2Sam Houston State University, Huntsville, TX, USA
3Koç Üniversitesi, Istanbul, Turkey
4University of Central Florida, Orlando, USA
Corresponding Author:
Louise K. Comfort, University of Pittsburgh, 230 S. Bouquet Street, Pittsburgh, PA 15260,
USA.
Email: lkc@pitt.edu
869991AASXXX10.1177/0095399719869991Administration & SocietyComfort et al.
research-article2019
828 Administration & Society 52(6)
Keywords
collective action, shared risk, complex adaptive systems, transition in
operational response systems, dynamics of scale in system performance
Mobilizing Collective Action in Response to Shared
Risk
Communities exposed to recurring risk confront a classic paradox. If an
extreme event occurs, all organizations in the community share the risk of
damage and destruction. Yet, the scale of the destruction is so great that no
single organization in the community can manage the event alone. While
external assistance is essential to restore the community to functionality, the
mobilization of external disaster assistance requires skill, communication,
coordination, and importantly, knowledge of the laws, policies, procedures,
and local contexts that facilitate rapid response (Comfort, 2007). This para-
dox creates tension between maintaining internal rules and practices of daily
operations by local organizations while simultaneously responding to urgent
demands in crisis events that require broad external support. We explore how
communities shift from a collection of individual actors engaged in routine
operations to a coherent system of collective action in response to shared risk,
a core problem in organizational dynamics (Solé, 2011). During extreme
events, the transition from separate organizations managing specific respon-
sibilities in daily operations to an interorganizational system mobilized to
achieve a shared, community-wide goal requires a distinct change in how
organizations perceive and process information to support timely, coordi-
nated action (Jost, 2004).
We address this problem of organizational transition to system perfor-
mance by focusing on two research questions.
Research Question 1: What are the threshold points of change at which
multiorganizational, multijurisdictional response systems either cohere in
increasingly effective performance or fray in dysfunction?
Research Question 2: What factors shape the direction of either pattern
of performance—coherence or dysfunction—under stress?
We explore factors that facilitate or inhibit the emergence of interorga-
nizational response networks in a small-n comparative case study of four
hurricane response systems that occurred within 3 years on the Gulf
Coast—Katrina and Rita, 2005, and Gustav and Ike, 2008—using multiple
sources of data and mixed methods of analysis.
Comfort et al. 829
In this inquiry, we focus on three primary thresholds of change in interac-
tions among component actors: transition among separate organizations to
interorganizational system performance, changing scales of operation in
extreme events, and adaptive performance among organizations and jurisdic-
tions to reduce recurring risk in physical contexts prone to hazards. We define
transition as a shift in the state of interactions among organizational, technical,
and physical conditions that leads to a redesign of operations needed to cope
with an extreme event (Holland, 1995, 2012; Solé, 2011). We define scale as
graduated levels in scope, frequency, and range of interactions among sets of
actors, technologies, organizations, jurisdictions, and conditions that character-
ize operations mobilized in response to extreme events (Comfort & Joshi,
2017; Comfort et al., 2011; Wilson, 2012). We define adaptation as the process
of adjustment under changing conditions and incoming actors to fit available
resources more effectively to the overall goal of action: benefit of the commu-
nity at risk (Ansell & Gash, 2012, 2018; Axelrod & Cohen, 2000; Holland,
1975). Dynamic interaction between internal and external organizations shapes
the capacity for collaborative operations in regions exposed to risk (O’Toole &
Meier, 2014). Adaptation increases or decreases significantly when the scale of
interaction changes across organizations and jurisdictions in extreme events.
The Logic of Transition in Extreme Events
Research on interorganizational response to extreme events has evolved over
decades. Sociologists first studied the rapid emergence of organizational
response systems following disaster events (Quarantelli & Dynes, 1976).
These early researchers focused on the spontaneous actions of individuals
who recognized a common need and engaged in informal, cooperative efforts
to assist those affected by the event. These informal organizations were
largely self-organizing and formed in response to urgent demands but dis-
banded after the crisis subsided (Meltsner & Bellavita, 1983). A second wave
of research focused on the design of rules and systematic training for emer-
gency managers to build a more professional basis for managing extreme
events (Waugh & Tierney, 2007). This approach relied on developing a cadre
of professional emergency managers who would engage, inform, and guide
other participants during disaster operations. Although this effort recognized
the need for more systematic guidance of the emergency management pro-
cess and spurred the development of professional guidelines, it led to a rule-
based interpretation of emergency management that often did not fit local
contexts. A third wave of research focused on interactions among organiza-
tions engaged in emergency response operations (Butts, Acton, & Marcum,
2012; Comfort, 2007; Kapucu, 2009). These scholars focused on questions of

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