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Navigating Administrative Burden: The Role of Bureaucratic Self-Efficacy and Social Capital Among Ukrainian Asylum Seekers

Published online by Cambridge University Press:  10 November 2025

Pascale-Catherine Kirklies*
Affiliation:
The Swiss Graduate School of Public Administration (IDHEAP) at the University of Lausanne, Lausanne, Switzerland
Iris Sudan
Affiliation:
The Swiss Graduate School of Public Administration (IDHEAP) at the University of Lausanne, Lausanne, Switzerland
*
Corresponding author: Pascale-Catherine Kirklies; Email: pascale-catherine.kirklies@unil.ch
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Abstract

This study investigates how Ukrainian asylum seekers in Switzerland experience administrative burdens during their early integration under temporary protection status S. Drawing on the concepts of bureaucratic self-efficacy and social capital, it examines how individual and social resources shape perceived administrative burden. Data were collected through a survey distributed via a Zurich-based NGO’s Telegram channel, which also included open-ended responses providing additional context to participants’ experiences. Findings show that higher bureaucratic self-efficacy significantly reduces perceived burden, while support from third-sector organizations – representing linking social capital – also plays a critical role. In contrast, bonding capital (e.g., family and friends) and general social media use have limited impact. The study contributes to both public administration and migration research by refining the conceptual understanding of social capital, highlighting the value of intermediaries in public service delivery, and emphasizing the importance of designing accessible systems supported by institutional and civil society actors.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press in association with Social Policy Association
Figure 0

Figure 1. Research model.

Figure 1

Table 1. Sample characteristics and descriptive statistics of participants

Figure 2

Table 2. Measurement of variables

Figure 3

Table 3. Descriptive statistics for key variables

Figure 4

Table 4. Qualitative responses

Figure 5

Table 6. Results from multiple linear regression

Figure 6

Table 5. Correlation matrix