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
5Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5121361233
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Beyza Fındıklı (openalex, provider refresh)
- Beyza Fındıklı (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Firm Productivity: 1 paper
- Organizational Efficiency: 1 paper
- Task Allocation: 1 paper
- Market Structure: 1 paper
- Output Quality: 1 paper
- Task Completion Time: 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 |
|---|---|---|---|
| An AI-based workforce planner cut task completion times by about 13–15% in two small manufacturing firms over 18 months while running on ordinary hardware. Its GA–MCS–Taguchi pipeline also matched exact MILP solutions on deterministic cores, indicating practical near-optimal scheduling under uncertainty.openalex | Beyza Fındıklı provider id |
2025-12-25 | 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.