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 →
2Distinct papers
3Unique collaborators
2/2OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5138916453
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Steve Senyo Ayivi-Donkor (openalex, provider refresh)
- Steve Senyo Ayivi-Donkor (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Org Design: 2 papers
- Productivity: 2 papers
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
Claim outcomes
- Organizational Efficiency: 2 papers
- Firm Productivity: 2 papers
- Adoption Rate: 1 paper
- Ai Safety And Ethics: 1 paper
- Decision Quality: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| Supply-chain AI often underdelivers not because models are weak but because frontline workers, vendors, and processes won't adopt them; treating internal AI as a product and applying product-marketing/CVM plus Lean Six Sigma can close the 'Adoption Gap' and unlock realized value.openalex | Steve Senyo Ayivi-Donkor provider id |
2026-08-10 | 0 |
| Machine‑learning forecasts alone do not cut costs: businesses capture savings during transformation only when predictive sensing, optimization, and accountable governance are combined; accuracy must be channeled into decision rights and organizational routines to realize financial value.openalex | Steve Senyo Ayivi-Donkor provider id |
2026-08-10 | 0 |
Citation observation summary
OpenAlex supplied counts for 2 of 2 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.