The influence of Chinese social media users' sharing behavior on consumers' purchase intentions for tourism services.

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Dazhi Wang
Chen Han

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This research Article show the digital era, social media has become a key driver of consumer behavior, particularly in the tourism sector. This study investigates how social media sharing (SMS) influences tourism service purchase intention (TSPI) among Chinese consumers. A mixed-methods approach was employed, combining quantitative analysis using Structural Equation Modeling (SEM) with qualitative insights from 20 interviews and focus group discussions. Data were gathered from 400 active Chinese social media users via online surveys. Quantitative results show that SMS significantly impacts TSPI. Moreover, perceived behavioral control (PBC), social media credibility (SMC), and content attractiveness (CA) are strong predictors of SMS behavior. Multi-channel information consistency (MIC) plays a moderating role, reinforcing the effect of SMS on purchase intention when users encounter consistent content across platforms. The SEM model shows a good fit (CFI = 0.95, RMSEA = 0.04), explaining 49% of the variance in TSPI and 61% in SMS. Qualitative findings support these results, revealing that emotional motivation, platform trust, and peer influence strongly affect both sharing and purchasing behaviors. Participants emphasized the power of authentic and visually appealing content in inspiring travel intentions. Repeated exposure across platforms enhanced confidence and decision-making. The study contributes a culturally relevant framework for understanding digital influence in the Chinese market. It integrates emotional, behavioral, and social drivers within a digital context, offering theoretical value and practical recommendations for tourism marketers to refine their strategies and strengthen consumer engagement. Finally, marketers should make it easier for consumers to participate by offering intuitive content creation tools and travel-sharing features. Cultural sensitivity is also vital in the Chinese context, where group influence strongly shapes decision-making. Personalized recommendations based on user data and socially aligned content can help tourism providers better connect with consumers and convert engagement into action.

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