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Improving emergency and disaster response management performance : A problem-solving perspective

Frykmer, Tove LU (2021)
Abstract
The purpose of this doctoral thesis is to investigate how collective emergency and disaster response management performance can be further improved. Based on four studies, this research contributes with knowledge in two areas.

First, collective processes that might improve response management are investigated. In this regard, collective improvisation as a concept is found limited in its usefulness and it is suggested to adopt problem solving as a broader analytical concept. In specific, collective problem representation is argued as potentially useful for investigating how response management performance can be improved. One interview study and one document study explore collective problem representation in response management.... (More)
The purpose of this doctoral thesis is to investigate how collective emergency and disaster response management performance can be further improved. Based on four studies, this research contributes with knowledge in two areas.

First, collective processes that might improve response management are investigated. In this regard, collective improvisation as a concept is found limited in its usefulness and it is suggested to adopt problem solving as a broader analytical concept. In specific, collective problem representation is argued as potentially useful for investigating how response management performance can be improved. One interview study and one document study explore collective problem representation in response management. Based on interviews with response management professionals, three factors are found to impact the process of achieving a collective problem representation: formal hierarchical structures, legislation and regulations, and, relationships. How problems are represented in common operational pictures, which are widely used for sharing information about problems and solutions in response
management is investigated in an empirical study of a wildfire response. Problems were found to be mainly represented in terms of geographic references and the status of the present wildfires, statements regarding resources, and, in terms of risks or potential consequences, relating to anticipated or future problems. Understanding
how problems are represented in common operational pictures enables an investigation into how these can be improved to better inform the handling of various events.

The second area of contribution concerns how we can identify measures that actually improve response management performance. A complementary approach to traditional response management research is suggested: that of combining descriptive and experimental research. Descriptive studies constitute a basis for understanding
response management problems and suggesting possible solutions. Experiments can thereafter test and evaluate the suggested solutions to see whether these should be further developed. The suggested research approach is exemplified with an experimental study testing a recommended measure in response management practice, namely goal alignment. Even though the findings indicate that goal alignment might not be an effective solution to improve response management performance, further inquiry is warranted. This thesis nevertheless calls for caution when
attributing causal explanation for successful performance to concepts without thoroughly investigating cause and effect between the two, which is supported by the findings related to collective improvisation and goal alignment. A useful way forward can be that of developing articulated models, which should describe the essential performance of the concept in question and have clear, falsifiable, connections between the concept and the outcome. (Less)
Please use this url to cite or link to this publication:
author
supervisor
opponent
  • Prof. Webb, Gary, University of North Texas, USA.
organization
publishing date
type
Thesis
publication status
published
subject
keywords
emergency, disaster, response management performance, problem solving, collective
publisher
Division of Risk Management and Societal Safety, Faculty of Engineering, Lund University
defense location
Lecture hall E:A, building E, Ole Römers väg 3, Faculty of Engineering LTH, Lund University, Lund. Zoom: https://lu-se.zoom.us/j/63836917406
defense date
2021-11-19 10:15:00
ISBN
978-91-8039-040-8
978-91-8039-039-2
language
English
LU publication?
yes
id
004eb2d9-aec2-4ed9-9fea-928fd94a1720
date added to LUP
2021-10-20 16:57:08
date last changed
2021-10-26 09:35:38
@phdthesis{004eb2d9-aec2-4ed9-9fea-928fd94a1720,
  abstract     = {{The purpose of this doctoral thesis is to investigate how collective emergency and disaster response management performance can be further improved. Based on four studies, this research contributes with knowledge in two areas.<br/><br/>First, collective processes that might improve response management are investigated. In this regard, collective improvisation as a concept is found limited in its usefulness and it is suggested to adopt problem solving as a broader analytical concept. In specific, collective problem representation is argued as potentially useful for investigating how response management performance can be improved. One interview study and one document study explore collective problem representation in response management. Based on interviews with response management professionals, three factors are found to impact the process of achieving a collective problem representation: formal hierarchical structures, legislation and regulations, and, relationships. How problems are represented in common operational pictures, which are widely used for sharing information about problems and solutions in response<br/>management is investigated in an empirical study of a wildfire response. Problems were found to be mainly represented in terms of geographic references and the status of the present wildfires, statements regarding resources, and, in terms of risks or potential consequences, relating to anticipated or future problems. Understanding<br/>how problems are represented in common operational pictures enables an investigation into how these can be improved to better inform the handling of various events. <br/><br/>The second area of contribution concerns how we can identify measures that actually improve response management performance. A complementary approach to traditional response management research is suggested: that of combining descriptive and experimental research. Descriptive studies constitute a basis for understanding<br/>response management problems and suggesting possible solutions. Experiments can thereafter test and evaluate the suggested solutions to see whether these should be further developed. The suggested research approach is exemplified with an experimental study testing a recommended measure in response management practice, namely goal alignment. Even though the findings indicate that goal alignment might not be an effective solution to improve response management performance, further inquiry is warranted. This thesis nevertheless calls for caution when<br/>attributing causal explanation for successful performance to concepts without thoroughly investigating cause and effect between the two, which is supported by the findings related to collective improvisation and goal alignment. A useful way forward can be that of developing articulated models, which should describe the essential performance of the concept in question and have clear, falsifiable, connections between the concept and the outcome.}},
  author       = {{Frykmer, Tove}},
  isbn         = {{978-91-8039-040-8}},
  keywords     = {{emergency; disaster; response management performance; problem solving; collective}},
  language     = {{eng}},
  month        = {{10}},
  publisher    = {{Division of Risk Management and Societal Safety, Faculty of Engineering, Lund University}},
  school       = {{Lund University}},
  title        = {{Improving emergency and disaster response management performance : A problem-solving perspective}},
  url          = {{https://lup.lub.lu.se/search/files/108647503/Tove_Frykmer_web.pdf}},
  year         = {{2021}},
}