Enhanced Digital Identity Model for Humanitarian Agencies in Kenya
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Date
2022Author
Meng'anyi, John, M
Type
ThesisLanguage
enMetadata
Show full item recordAbstract
Digital identity systems have the ability to enhance the core elements of the sustainable
development goals ensuring no one is left behind. These includes, enhancing digital inclusion,
strengthening access to legal identity, improved accountability and effectiveness in delivery of
social protection.
Humanitarian agencies are exposed to risks such as commodity losses, disallowed costs, and
damaged reputation caused by shortfalls in the existing beneficiary identification systems that have
led to falsification of identity documents, siloed registries, duplication of assistance, and
inadequate privacy safeguards. The study aimed to develop an enhanced digital identity model for
beneficiary targetting and registration that will support equal access to data for all humanitarian
actors and linkages with civil registries. The literature review details the Kenyan identity ecosystem
and discusses identity frameworks within the humanitarian sector.
The study further discusses factors affecting beneficiary identification and the current digital
identity trends in social protection. The proposed conceptual model was adopted from the
Christopher Allen Self Sovereign identity framework and the World Bank identity guidelines. A
survey was conducted to obtain quantitative data from 74 humanitarian actors, and the sample data
was evaluated using factor and regression analysis. The study found that access, privacy,
persistence, governance, and interoperability are the key components when designing a
beneficiary-centric identity system for humanitarian actors. Awareness, funding, resource
allocation, support and ownership were moderating, affecting all the relationships between the
independent and dependent variables.
Publisher
University of Nairobi
Rights
Attribution-NonCommercial-NoDerivs 3.0 United StatesUsage Rights
http://creativecommons.org/licenses/by-nc-nd/3.0/us/Collections
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