Evaluating crisis response speed of international organisations: why it matters and how to achieve it

Armed conflicts, pandemics or natural disasters often necessitate rapid, coordinated responses by international organisations (IOs) to avoid escalation or loss of life. However, effective analytical tools to assess and compare the speed of these responses are lacking. This paper introduces a framework for evaluating IO crisis response speed, with the aim of better understanding which IOs are best equipped to offer rapid crisis responses and which are not. I propose a three-stage model that measures the time for IOs to (a) recognise a crisis, (b) decide on measures and (c) implement these measures, while also accounting for variations in levels of precision and obligation. Using empirical insights from the 2014 Ebola outbreak in West Africa, I demonstrate how this model can generate data that can improve our understanding of the performance of IOs as crisis managers and foster discussions on enhancing the speed and efficiency of multilateral responses during crises.

Authors

Institutions

Publication Details

Journal
Journal of European Public Policy
Published
2024-11-07
DOI
https://doi.org/10.1080/13501763.2024.2425380
Primary Topic
International Development and Aid
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating crisis response speed of international organisations: why it matters and how to achieve it

Yf Reykers
Journal of European Public Policy
International Development and Aid
article

Evaluating crisis response speed of international organisations: why it matters and how to achieve it

Yf Reykers
article en

Abstract

Armed conflicts, pandemics or natural disasters often necessitate rapid, coordinated responses by international organisations (IOs) to avoid escalation or loss of life. However, effective analytical tools to assess and compare the speed of these responses are lacking. This paper introduces a framework for evaluating IO crisis response speed, with the aim of better understanding which IOs are best equipped to offer rapid crisis responses and which are not. I propose a three-stage model that measures the time for IOs to (a) recognise a crisis, (b) decide on measures and (c) implement these measures, while also accounting for variations in levels of precision and obligation. Using empirical insights from the 2014 Ebola outbreak in West Africa, I demonstrate how this model can generate data that can improve our understanding of the performance of IOs as crisis managers and foster discussions on enhancing the speed and efficiency of multilateral responses during crises.

Journal of European Public PolicyVol. 32(11)
Maastricht University (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Climate action
Openalex Percentile: Top 61%
International Development and Aid
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.