Exploring the antecedents of tourist satisfaction: A big data analysis of ice and snow tourism destinations
Shuo Wang, Shiyang Chen, Qingyang Guan · 2026
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Description
Shuo Wang, Shiyang Chen, and Qingyang Guan study what makes visitors happy at ice and snow resorts in China, in a paper from 2026. They use a big data approach, reading a large set of online reviews rather than running a small survey. Winter resorts depend heavily on how guests feel about value and service.
The team worked through more than thirty-two thousand reviews. They grouped the topics guests raised, tracked the tone of the words, and modeled how feelings shift over time. Guests cared most about the quality of the site, service, and price. Bad feelings, above all a sense that prices were unfair, hurt scores more than good feelings helped them. The authors urge managers to watch price fairness and mood across the season.
Catalog record
| CREATOR | Shuo Wang, Shiyang Chen, Qingyang Guan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 62 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |