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
2Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
101029774
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- U. Suhud (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
Claim outcomes
- Research Productivity: 1 paper
- Consumer Welfare: 1 paper
- Governance And Regulation: 1 paper
- Market Structure: 1 paper
- Firm Revenue: 1 paper
- Other: 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 |
|---|---|---|---|
| AI-driven personalization combined with credible sustainability messaging can boost tourist demand by strengthening digital trust and destination image. The paper offers ten testable propositions and an empirical agenda—SEM, experiments, and platform-data analyses—to quantify how algorithmic design and sustainability narratives reshape visitation and market outcomes.openalex | U. Suhud provider id |
2026-03-10 | 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.