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
3Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
4513459
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- B. Dhungana (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Other: 1 paper
- Ai Safety And Ethics: 1 paper
- Firm Productivity: 1 paper
- Job Displacement: 1 paper
- Skill Acquisition: 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 |
|---|---|---|---|
| Green HRM has shifted from compliance to a strategic enabler that supports seven distinct sustainable business models—yet its effectiveness depends on firm resources, sector and technological readiness. Firms that pair AI adoption with targeted GHRM (reskilling, governance and culture) are likeliest to capture larger productivity and sustainability gains, while uneven adoption risks distributional harms.openalex | B. Dhungana provider id |
2026-09-12 | 0 |
Citation observation summary
Semantic Scholar 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.