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
1Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2370327313
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Mwita Wanyancha (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Innovation: 2 papers
- Org Design: 2 papers
- Skills Training: 1 paper
Claim outcomes
- Firm Productivity: 2 papers
- Organizational Efficiency: 2 papers
- Adoption Rate: 1 paper
- Automation Exposure: 1 paper
- Creativity: 1 paper
- Developer Productivity: 1 paper
- Market Structure: 1 paper
- Other: 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 |
|---|---|---|---|
| AI capability alone does not guarantee startup success in emerging economies: without reliable digital infrastructure, founder AI literacy and supportive ecosystems, AI investments often fail to convert into competitive advantage, the paper argues. The authors formalize these three gating conditions into a testable framework repositioning conversion into advantage as the key theoretical problem.openalex | Mwita Wanyancha provider id |
2026-07-31 | 0 |
| As foundation models become rentable utilities, AI ceases to be a rare capability and instead becomes table stakes; durable advantage for startups now lies in proprietary data, tacit domain expertise, customer relationships, and the organizational skill to orchestrate AI into distinctive offerings.openalex | Mwita Wanyancha provider id |
2026-07-31 | 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.