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:
A5127660049
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Mwende, Victoria Stephen (openalex, provider refresh)
- Mwende, Victoria Stephen (openalex, source metadata)
- Victoria Stephen Mwende (openalex, provider refresh)
- Victoria Stephen Mwende (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Other: 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 |
|---|---|---|---|
| An immersive study of a Kenyan financial firm finds that concrete organizational routines — spanning detection of AI opportunities, translating models into workflows, and embedding learning — form the backbone of successful Generative AI adaptation; deep, sustained internal processes, not ad-hoc pilot projects, drive durable adoption.openalex | Mwende, Victoria Stephen provider id |
2026-02-27 | 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.