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
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5127687816
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Olatunde Badmus (openalex, provider refresh)
- Olatunde Badmus (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Firm Revenue: 1 paper
- Fiscal And Macroeconomic: 1 paper
- Organizational Efficiency: 1 paper
- Skill Acquisition: 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 |
|---|---|---|---|
| SMEs that adopt AI report stronger revenue and efficiency gains, yet adoption is skewed toward medium and tech-focused firms and constrained by finance and infrastructure; strategic implementation and workforce skills are critical for broader benefits.openalex | Olatunde Badmus provider id |
2026-02-26 | 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.