Determinants of tourists’ intention to share travel experience on social media
An fsQCA application
Bibliographic Data
| ID | 21699587 |
|---|---|
| Authors | Guoquan Wang (0000-0003-3731-3839, Nankai University), Hanqin Qiu (0000-0001-5632-7545, International School of Cultural Tourism, Zhejiang University City College, Hangzhou, People’s Republic of China, corresponding author), Lianping Ren (0000-0002-2025-9998, Macao Institute for Tourism Studies, Macao, People’s Republic of China) |
| Year | 2023 |
| Volume | 26 |
| Issue | 16 |
| Pages | 2595-2612 |
| Publication date | 2023-08-18 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Current Issues in Tourism (JOURNAL) |
| Journal identifiers | ISSN: 1368-3500 • E-ISSN: 1747-7603 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13683500.2022.2091428 |
| OpenAlex | W4283376503 |
| Language | EN |
| Citations received | 10 |
| References cited | 47 |
Sharing travel experience on social media has gained substantial popularity in the Internet era. However, existing knowledge about tourists’ determinants for sharing remains inconsistent and scattered. This study seeks to propose an innovative direction to analyze the determinants of tourists’ intention to share travel experience on social media. Building upon the complexity theory, this study implemented an asymmetrical analysis by applying the fuzzy-set qualitative comparative analysis (fsQCA) approach on a sample of 383 valid questionnaires. A structural equation modeling analysis and cross-tabulation analysis were also performed. The results revealed five causal configurations of determinants that lead to Chinese tourists’ high sharing intention on WeChat. The finding fills the gap in research on determinants to share travel experiences on strong-tie social media platforms and offers practical insights and marketing advice about how to encourage tourists to share their travel experiences on mainstream social media
Advertising · Business · Mainstream · Political science · Popularity · Qualitative comparative analysis · Social media · Structural equation modeling · The Internet · Tourism · World Wide Web · Computer Science · Digital Marketing and Social Media · Diverse Aspects of Tourism Research · Psychology · Qualitative Comparative Analysis Research · Social Psychology · Marketing
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| Citations per year | 5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |