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 span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5089187269
ORCID evidence
Observed aliases (2)
- Tahereh Hasani (openalex, provider refresh)
- Tahereh Hasani (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Innovation: 1 paper
- Productivity: 1 paper
Claim outcomes
- Innovation Output: 1 paper
- Adoption Rate: 1 paper
- Organizational Efficiency: 1 paper
- Firm Revenue: 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 |
|---|---|---|---|
| Generative AI raises innovation in Canadian SMEs, but the dividend depends on governance: transparency, privacy protection and accountability boost returns, while early-stage fairness controls can slow experimentation. The result implies uneven, capability-dependent gains from GenAI that may widen firm-level disparities unless governance support is provided.openalex | Tahereh Hasani provider id |
2026-09-01 | 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.