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:
A5138291171
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Chien-Liang Lin (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Firm Productivity: 1 paper
- Decision Quality: 1 paper
- Consumer Welfare: 1 paper
- Firm Revenue: 1 paper
- Fiscal And Macroeconomic: 1 paper
- Hiring: 1 paper
- Innovation Output: 1 paper
- Team Performance: 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 |
|---|---|---|---|
| China’s AI surge is remaking management — but the gains depend on human wisdom. Across 18 papers, AI boosts efficiency and innovation when embedded in culturally aligned leadership, trust and networked resource orchestration, yet risks psychological alienation, ethical tensions and governance shortfalls if deployed without context‑sensitive oversight.openalex | Chien-Liang Lin provider id |
2026-06-10 | 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.