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Global Scale of Digital Wages - Final evaluation
- eval_number:
- 3257
- eval_url:
- https://webapps.ilo.org/ievaldiscovery/eval/3257
- location:
- country:
- Inter-Regional
- region:
- Inter-Regional
- eval_title:
- Global Scale of Digital Wages - Final evaluation
- recommendations:
- date:
- 2026-06-10 00:00:00.0
- themes:
- theme:
- Organizational issues
- category:
- Planning and programme design
- comments:
- The first phase of the project (2020–2025) was pioneering in nature. It enabled the team to build knowledge and expertise on the subject, as well as to test approaches at both country and global levels to promote the responsible digitization of wage payments. Building on the lessons learned from this initial, innovative phase, the team was able to design a second phase (2025-2027) with clearly defined, concrete, and time-bound strategic goal, primary outcomes (2), and intermediate outcomes (5).
- management_response:
- Completed
- progress:
- Achieved
- admin_units:
- SFU
- title:
- Recommendation 4: Clearly align objective and Theory of Change.
Justification: The project adopted a suitable approach to understanding and supporting behaviour change through the COM-B ToC model. However, the model was not fully leveraged during project design or implementation, which limited its potential to inform strategic decisions.
Possible actions: A clearer articulation of assumptions — especially those most at risk — and the development of targeted support mechanisms to ensure the assumptions hold true in practice would help increase the likelihood of intended outcomes. Similarly, improvements are needed in the logframe, ensuring that targets capture the intangible dimensions of systems change while remaining sufficiently concrete and communicable for stakeholders to track progress effectively. Future projects may more clearly articulate their time-bound expected outcomes and pathways to impact within the Theory of Change. The project team could then employ this framework more actively as a tool for adaptive management, and learning throughout implementation.
- project_symbols:
- GLO/20/34/GAT
- url:
- https://webapps.ilo.org/ievaldiscovery/recommendations/2376532
- information_source:
- Head Quarters
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