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
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5134465543
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Kalpana Rawat (openalex, provider refresh)
- Kalpana Rawat (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Firm Productivity: 1 paper
- Adoption Rate: 1 paper
- Governance And Regulation: 1 paper
- Market Structure: 1 paper
- Other: 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 |
|---|---|---|---|
| Firms that intensively deploy AI report markedly stronger cross-border e-commerce performance—AI adoption intensity predicts outcomes more strongly than firm size, with automated translation boosting conversions and customs automation lowering logistics costs. Yet high implementation costs, talent gaps and data-privacy rules are significant barriers, especially for SMEs.openalex | Kalpana Rawat provider id |
2026-01-01 | 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.