Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
0Unique collaborators
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5122367223
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Kofi Asante Aninakwah (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Ai Safety And Ethics: 1 paper
- Decision Quality: 1 paper
- Research Productivity: 1 paper
- Skill Acquisition: 1 paper
- Consumer Welfare: 1 paper
- Governance And Regulation: 1 paper
- Inequality: 1 paper
- Task Completion Time: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| AI and digital investments can speed up government services and improve targeting, but benefits rarely materialize at scale without fixing infrastructure, skills and institutional incentives. Lasting public‑sector productivity gains depend as much on procurement, interoperability and governance reforms as on the technology itself.semantic_scholar | Kofi Asante Aninakwah provider id |
Fetched 2026-03-12 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.