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
1/1Semantic Scholar citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2291154104
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Boram Kwon (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Innovation: 1 paper
- Org Design: 1 paper
Claim outcomes
- Firm Productivity: 1 paper
- Other: 1 paper
- Innovation Output: 1 paper
- Organizational Efficiency: 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 investments pay off mainly by speeding decision-making: firms' technical and managerial AI capabilities raise performance chiefly through greater decision-making agility, but the payoff depends on how dynamic and complex the external environment is; configurational analysis shows multiple routes to high performance depending on firm and environmental conditions.semantic_scholar | Boram Kwon provider id |
Fetched 2026-05-24 | 0 |
Citation observation summary
Semantic Scholar 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.