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:
A5106801666
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Srikanthudu Avancha (openalex, provider refresh)
- Srikanthudu Avancha (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
Claim outcomes
- Firm Productivity: 1 paper
- Organizational Efficiency: 1 paper
- Adoption Rate: 1 paper
- Error Rate: 1 paper
- Governance And Regulation: 1 paper
- Market Structure: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| No silver bullet: firms only extract economic value from AI when governance, architecture and delivery practices are orchestrated across the organization; existing literature is heavy on case studies and practitioner reports but light on causal evidence tying DevOps/MLOps investments to productivity or financial gains.openalex | Srikanthudu Avancha provider id |
2026-08-08 | 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.