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 →
2Distinct papers
0Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2350453524
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Hao Jiang (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Innovation: 2 papers
- Org Design: 2 papers
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
Claim outcomes
- Organizational Efficiency: 2 papers
- Innovation Output: 2 papers
- Other: 1 paper
- Adoption Rate: 1 paper
- Consumer Welfare: 1 paper
- Creativity: 1 paper
- Decision Quality: 1 paper
- Governance And Regulation: 1 paper
- Research Productivity: 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 |
|---|---|---|---|
| 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 |
| Algorithms have shifted from tools to the governance hub of innovation ecosystems, driving a three-stage process — data sensing and resource structuring, algorithmic empowerment and resource bundling, and scenario emergence with dynamic value capture — and requiring a mix of technical algorithmic governance and relational contracts to manage co-creation.openalex | Hao Jiang provider id |
2026-08-16 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 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.