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: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
No provider ID is stored.
ORCID evidence
Observed aliases (2)
- Tingting Dai (openalex, provider refresh)
- Tingting Dai (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Research Productivity: 1 paper
- Decision Quality: 1 paper
- Error Rate: 1 paper
- Firm Productivity: 1 paper
- Governance And Regulation: 1 paper
- Job Displacement: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| A combined big-data and process-redesign program transformed finance shared-services in 50 large firms — cutting data errors by three quarters and lifting automation by more than 65 percentage points — but the pre/post design leaves causal attribution to the bundled intervention uncertain.openalex | Tingting Dai orcid |
2025-12-12 | 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.