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:
A5129771576
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Faiz Ur Rahman Khan (openalex, provider refresh)
- Faiz Ur Rahman Khan (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Firm Revenue: 1 paper
- Governance And Regulation: 1 paper
- Organizational Efficiency: 1 paper
- Market Structure: 1 paper
- Research Productivity: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| Enterprise revenue hinges on integrated ERP, pricing algorithms and aligned data—but scholarship is thin on execution and governance; robust, micro‑level and longitudinal research is urgently needed to measure AI-driven revenue effects and ensure accountable algorithmic decisions.openalex | Faiz Ur Rahman Khan provider id |
2026-08-08 | 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.