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:
A5122934393
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Roman KUZIV (openalex, provider refresh)
- Roman Kuziv (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Governance And Regulation: 1 paper
- Other: 1 paper
- Adoption Rate: 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 |
|---|---|---|---|
| Agentic AI confronts firms not with isolated obstacles but an interdependent sociotechnical web: most barriers are amplified legacy transformation problems, but a few—error propagation in multi-agent systems, role ambiguity, and accountability diffusion—are novel. The central managerial challenge is governance calibration: enabling valuable autonomy while constraining risks requires joint optimization across social and technical subsystems.openalex | Roman KUZIV provider id |
2026-03-31 | 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.