| dc.description.abstract | Effective decision-making is crucial for ensuring security and stability at
Kakuma Refugee Camp, which hosts over 240,000 refugees as of 2024.
However, challenges such as limited localised data and exclusion of key
stakeholders often lead to poor responses, with up to 60% of security
interventions failing due to inadequate risk assessment. This study aimed to
evaluate how the localisation of security risk management strategies can
enhance decision-making at Kakuma Refugee Camp. Specifically, the study
examined the impact of tailored security infrastructure, decentralised command
and control, and local crisis management on improving decision-making
processes. The study was based on Contingency Theory, Situational Leadership
Theory, and the Resource Allocation Model. It used a descriptive research
design. The target population consisted of 420 staff from NGOs, United Nations
agencies, the Department of Refugee Services, security agencies, and members
of the refugee and host communities at Kakuma Refugee Camp. Nonprobability sampling, specifically maximum variation sampling, was employed.
Purposive and snowball sampling were also used to identify key informants for
in-depth interviews. The Yamane formula determined a sample size of 125
respondents. Data were collected through questionnaires and interview guides.
The data comprised both quantitative and qualitative information. Quantitative
data analysis was conducted using the Statistical Package for the Social
Sciences. Descriptive statistics included frequencies, percentages, means, and
standard deviations. Pearson's correlation analysis was used. For qualitative
data, thematic analysis identified patterns, themes, and insights that emerged
from the interview responses. Quantitative results were presented in tables for
clarity, while qualitative findings were presented thematically or in prose to
effectively capture respondents' perspectives. The study identified a moderate,
positive, and significant correlation between customised security infrastructure
and improved decision- making processes (r = 0. 534, p = 0. 000). It also found
a significant positive relationship between decentralised command and control
and improved decision- making (r = 0. 623, p = 0. 000). Additionally, there was
a significant positive correlation between local crisis management and
improved decision- making (r = 0. 413, p = 0. 000). The study concludes that
localisation significantly improves the effectiveness of security decisionmaking at Kakuma Refugee Camp by fostering adaptive, inclusive, and datadriven practices. Based on these findings, it recommends that humanitarian
agencies and policymakers institutionalise localised decision-making
frameworks by strengthening community engagement, building local capacity
in risk assessment, and integrating locally generated data into security planning.
This approach is crucial for enhancing decision-making processes and
strengthening security governance in refugee camp settings. | en_US |
