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
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5101539484
ORCID evidence
Observed aliases (2)
- Hao Jiang (openalex, provider refresh)
- Hao Jiang (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Innovation: 1 paper
- Org Design: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Other: 1 paper
- Adoption Rate: 1 paper
- Creativity: 1 paper
- Decision Quality: 1 paper
- Innovation Output: 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 |
|---|---|---|---|
| A review of 33 studies finds that firms’ AI capabilities — a bundled set of tangible, human and intangible resources — help convert AI investments into innovation and performance gains, but the evidence is fragmented across contexts and weak on causality, temporal evolution and the risks for resource-constrained organizations.openalex | Hao Jiang provider id |
2026-08-16 | 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.