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 dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5128491327
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Irfan Hanif (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Productivity: 1 paper
Claim outcomes
- Decision Quality: 1 paper
- Other: 1 paper
- Governance And Regulation: 1 paper
- Firm Productivity: 1 paper
- Organizational Efficiency: 1 paper
- Research Productivity: 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 |
|---|---|---|---|
| Finance professionals who report using AI also report sizable gains: survey respondents link AI adoption to materially higher decision‑making efficiency, operational efficiency and resilience. These results are based on cross‑sectional self‑reports, so causal claims require follow‑up with objective, longitudinal evidence.semantic_scholar | Irfan Hanif provider id |
Fetched 2026-03-18 | 1 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.