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:
A5112539452
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Dr. Manju Dahiya (openalex, provider refresh)
- Dr. Manju Dahiya (openalex, source metadata)
- Manju Dahiya (openalex, provider refresh)
- Manju Dahiya (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Inequality: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Firm Productivity: 1 paper
- Skill Acquisition: 1 paper
- Adoption Rate: 1 paper
- Inequality: 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 |
|---|---|---|---|
| Indian workers report only moderate preparedness for AI, but this self-reported readiness is strongly linked to firms' AI adoption and perceived economic benefits— a preparedness index explains roughly 62% of variation in perceived AI impact; however, readiness is uneven across demographic and career groups, implying distributional risk without targeted policy.openalex | Dr. Manju Dahiya provider id |
2026-08-22 | 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.