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:
119062980
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- L. Judijanto (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 2 papers
- Human Ai Collab: 2 papers
- Skills Training: 2 papers
- Adoption: 1 paper
- Inequality: 1 paper
- Innovation: 1 paper
- Productivity: 1 paper
Claim outcomes
- Market Structure: 2 papers
- Skill Acquisition: 2 papers
- Firm Productivity: 1 paper
- Inequality: 1 paper
- Organizational Efficiency: 1 paper
- Output Quality: 1 paper
- Ai Safety And Ethics: 1 paper
- Automation Exposure: 1 paper
- Consumer Welfare: 1 paper
- Decision Quality: 1 paper
- Firm Revenue: 1 paper
- Governance And Regulation: 1 paper
- Innovation Output: 1 paper
- Task Allocation: 1 paper
- Training Effectiveness: 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 |
|---|---|---|---|
| Digital learning delivers only when it’s a sociotechnical system: AI and ed‑tech can boost skills and job readiness if paired with infrastructure, teacher training, curriculum alignment and data governance; without these complements, they risk entrenching inequality and creating privacy and bias harms.openalex | L. Judijanto provider id |
2026-08-03 | 0 |
| Digital entrepreneurship is more than moving sales online: it is a complex, technology- and data-driven value-creation process that can let SMEs leapfrog via AI and platforms, but widespread gains will be limited by skills gaps, infrastructure divides, platform dependence and regulatory uncertainty unless coordinated policy and ecosystem support is provided.openalex | L. Judijanto provider id |
2026-08-03 | 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.