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
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2269882440
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Yun Wan (semantic scholar, provider refresh)
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
- Governance And Regulation: 1 paper
- Organizational Efficiency: 1 paper
- Developer Productivity: 1 paper
- Innovation Output: 1 paper
- Skill Acquisition: 1 paper
- Team Performance: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar 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 |
|---|---|---|---|
| Generative AI is changing how firms coordinate by removing cognitive bottlenecks, prompting a new 'unbounded cognitive fusion' model in which coordination emerges from shared cognitive synthesis rather than prices or authority. The paper identifies three new organizational forms—cognitive meshworks, algorithmic ecosystems, and hybrid intelligence collectives—while noting limits where accountability, embodied skills, or low AI adoption persist.openalex | Yun Wan provider id |
2026-04-28 | 1 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.