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 →
2Distinct papers
8Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2391614010
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Muhammad Irfan Syed (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Human Ai Collab: 2 papers
- Org Design: 2 papers
- Governance: 1 paper
- Innovation: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Organizational Efficiency: 2 papers
- Innovation Output: 1 paper
- Firm Revenue: 1 paper
- Firm Productivity: 1 paper
- Ai Safety And Ethics: 1 paper
- Automation Exposure: 1 paper
- Other: 1 paper
- Output Quality: 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 |
|---|---|---|---|
| Banks that pair HR technology with marketing innovation report stronger workforce efficiency and better financial returns; marketing innovation amplifies the value of HR tech by helping digitally skilled employees convert capabilities into customer and revenue gains.openalex | Muhammad Irfan Syed provider id |
2026-01-24 | 1 |
| Human–AI co-creation, not technology alone, correlates with higher innovation: a manager survey finds collaborative AI use yields the biggest gains, amplified by ethical leadership, learning cultures and trust. However, results are correlational and rely on self-reported outcomes from early-adopting organizations, so causal claims about AI driving productivity remain tentative.openalex | Muhammad Irfan Syed provider id |
2026-01-04 | 1 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 2 cumulative citations. This is a coverage summary, not an author score or h-index.