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:
A5148528981
ORCID evidence
Observed aliases (2)
- Adrienne N. Moore Terrell (openalex, provider refresh)
- Adrienne N. Moore Terrell (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Firm Productivity: 1 paper
- Governance And Regulation: 1 paper
- Organizational Efficiency: 1 paper
- Ai Safety And Ethics: 1 paper
- Market Structure: 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 |
|---|---|---|---|
| Firms that deliberately shape employee interactions with AI can convert those systems into firm-specific, hard-to-imitate knowledge assets that support competitive advantage; without governance, the same embedding process locks in bias, errors and outdated practices that reduce productivity.openalex | Adrienne N. Moore Terrell provider id |
2026-08-27 | 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.