Determinants of Travel Experience-Sharing Behavior on Chinese Social Media Platforms
This study investigates factors influencing Chinese travelers’ behavior in sharing travel experiences on social media, using the frameworks of Perceived Value Theory, the Theory of Reasoned Action, and Social Influence Theory. This study aims to explore the intrinsic motivations and social factors that drive individuals to engage in sharing travel experiences and examine how these factors, along with personal characteristics, influence this behavior. Data from 489 participants were collected using a structured survey method and indicate that convenience value, emotional value, attitude, subjective norm, social identity, and group norm significantly affect sharing behavior, while monetary and social values do not. Additionally, personality traits such as openness, agreeableness, and conscientiousness moderate the relationship between these values and the sharing behavior. This study contributes to the literature by providing a deeper understanding of the motivations underlying travel experience-sharing on social media in China and by examining how both intrinsic motivations and social influences affect this behavior. The findings offer practical implications for tourism marketers to prioritize seamless digital platforms, emotionally engaging experiences, and personalized campaigns. Governments can support these efforts by promoting policies that enhance platform convenience and foster social engagement. Focusing on Chinese travelers, this research also provides a cross-cultural perspective, deepening the theoretical understanding of travel experience-sharing.
Authors
- Normalisa Md Isa (ORCID: https://orcid.org/0000-0002-1069-2077)
- Chuanmei Chen
- Norkhazzaina Salahuddin (ORCID: https://orcid.org/0000-0001-8500-9247)
Institutions
- Northern University of Malaysia (MY)
Publication Details
- Journal
- Sustainability
- Published
- 2025-04-16
- DOI
- https://doi.org/10.3390/su17083579
- Citations
- 2
- Primary Topic
- Digital Marketing and Social Media
- Type
- article
- Field-Weighted Citation Impact
- 8.40