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:
A5075180388
ORCID evidence
Observed aliases (2)
- Yingzheng Liu (openalex, provider refresh)
- Yingzheng Liu (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Innovation: 1 paper
- Org Design: 1 paper
Claim outcomes
- Task Allocation: 1 paper
- Adoption Rate: 1 paper
- Firm Revenue: 1 paper
- Market Structure: 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 |
|---|---|---|---|
| When acquiring becomes politically costly, incumbents increasingly hollow startups instead: license-and-hire ‘absorption’ emerges as a distinct quasi-acquisition that internalizes tacit AI capability without formal takeover. The model shows no single sourcing route dominates universally—outcomes hinge on contractibility, timing of a dominant design, and how much incumbents’ legacy products are exposed to substitution.openalex | Yingzheng Liu provider id |
2026-08-28 | 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.