How well can ChatGPT forecast tourism demand
Bibliographic Data
| ID | 11439734 |
|---|---|
| Authors | Doris Chenguang Wu (0000-0002-0291-5971, Sun Yat-sen University), Wenjia Li (0000-0002-8406-7792, Sun Yat-sen University), Ji Wu (0000-0002-3417-635X, Sun Yat-sen University, corresponding author), Mingming Hu (0000-0002-6626-9657, Guangxi University), Shujie Shen (University of Westminster) |
| Year | 2025 |
| Volume | 108 |
| Pages | 105119 |
| Publication date | 2025-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Tourism Management (JOURNAL) |
| Journal identifiers | ISSN: 0261-5177 • E-ISSN: 1879-3193 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.tourman.2024.105119 |
| OpenAlex | W4405866402 |
| Language | EN |
| Citations received | 12 |
| References cited | 53 |
Archaeology · Business · Econometrics · Economic geography · Economics · Geography · Regional science · Tourism · Energy Load and Power Forecasting · Forecasting Techniques and Applications · Stock Market Forecasting Methods
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| Unique citing works | 12 |
|---|---|
| Citations per year | 0,63 |
| Citation span | 2007 - 2026 (20) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 10 |