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
3Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5025771972
ORCID evidence
Observed aliases (1)
- Pandej Chintrakarn (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Org Design: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Other: 1 paper
- Firm Revenue: 1 paper
- Organizational Efficiency: 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 |
|---|---|---|---|
| Older companies struggle to attract AI talent: a one-standard-deviation increase in firm age is linked to a 5.2% lower share of AI workers, though R&D spending and modern infrastructure can reverse the trend; diverse boards and slow decision-making in mature firms may further slow AI integration, while firms that do integrate AI talent see gains in valuation and efficiency.openalex | Pandej Chintrakarn orcid |
2026-06-11 | 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.