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
2Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5130908622
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- VIRENDRA S. GOMASE (openalex, provider refresh)
- Virendra S. Gomase (openalex, provider refresh)
- VIRENDRA S. GOMASE (openalex, source metadata)
- Virendra S. Gomase (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Innovation: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Ai Safety And Ethics: 1 paper
- Adoption Rate: 1 paper
- Decision Quality: 1 paper
- Governance And Regulation: 1 paper
- Innovation Output: 1 paper
- Market Structure: 1 paper
- Organizational Efficiency: 1 paper
- Other: 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 AI decision‑support systems can raise firms' strategic decision quality, efficiency and innovation — but gains hinge on explainability, data governance and managerial adoption, and failure to manage data, transparency and safety risks could limit benefits and amplify concentration.openalex | VIRENDRA S. GOMASE provider id |
2026-08-12 | 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.