The impact mechanism of social network information on tourism travel: an empirical analysis based on internet celebrity cities

Social networks have profoundly influenced human thinking and behaviour patterns and have effectively promoted the development and evolution of the urban tourism economy. However, the front-end impact of social network information differences on travel intention and the back-end effect of travel intention on actual behaviour have not been considered from the perspective of behavioural psychology. Based on the three-stage division of SOR theory, namely, “Stimulus‒Organism‒Response”, this study takes the tourist destination image, personal characteristics and information quality of key opinion leaders (KOLs) as external stimulus variables, combines basic theories such as the theory of planned behaviour and the technology acceptance model, and builds a theoretical framework to analyse the impact of social network information on travel intention. It also incorporates variables such as individual socioeconomic attributes and tourism attributes and establishes a tourist destination selection behaviour model (ICLV) that considers latent psychology variables, analysing the mechanism whereby multiple factors influence travel behaviour intention and behaviour in social network interaction scenarios. Specifically, we analysed 522 valid questionnaires from two internet celebrity cities (ICCs), Chongqing and Chengdu. The results show that the personal characteristics and information quality of KOLs can effectively stimulate tourist travel intention by influencing travel motivation, travel attitude and perceived value but have no significant effect on tourist destination decisions. Furthermore, tourist destination decision-making behaviour is affected mainly by factors such as the travel attitude, destination image, individual attributes of tourists and travel attributes. This study enriches the research and empirical investigation of tourist travel behaviour in the digital environment and provides a reference for the creation of ICCs and the marketing of tourist destinations.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-10-22
DOI
https://doi.org/10.1057/s41599-025-05892-8
Citations
1
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
4.20

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article

The impact mechanism of social network information on tourism travel: an empirical analysis based on internet celebrity cities

Jian Chen, Yixin Luo, Xiaotong Wu, Keliang Liu
1 citations
Humanities and Social Sciences Communications
Digital Marketing and Social Media
4.20
article

The impact mechanism of social network information on tourism travel: an empirical analysis based on internet celebrity cities

Jian Chen, Yixin Luo, Xiaotong Wu, Keliang Liu
article en
1 citations

Abstract

Social networks have profoundly influenced human thinking and behaviour patterns and have effectively promoted the development and evolution of the urban tourism economy. However, the front-end impact of social network information differences on travel intention and the back-end effect of travel intention on actual behaviour have not been considered from the perspective of behavioural psychology. Based on the three-stage division of SOR theory, namely, “Stimulus‒Organism‒Response”, this study takes the tourist destination image, personal characteristics and information quality of key opinion leaders (KOLs) as external stimulus variables, combines basic theories such as the theory of planned behaviour and the technology acceptance model, and builds a theoretical framework to analyse the impact of social network information on travel intention. It also incorporates variables such as individual socioeconomic attributes and tourism attributes and establishes a tourist destination selection behaviour model (ICLV) that considers latent psychology variables, analysing the mechanism whereby multiple factors influence travel behaviour intention and behaviour in social network interaction scenarios. Specifically, we analysed 522 valid questionnaires from two internet celebrity cities (ICCs), Chongqing and Chengdu. The results show that the personal characteristics and information quality of KOLs can effectively stimulate tourist travel intention by influencing travel motivation, travel attitude and perceived value but have no significant effect on tourist destination decisions. Furthermore, tourist destination decision-making behaviour is affected mainly by factors such as the travel attitude, destination image, individual attributes of tourists and travel attributes. This study enriches the research and empirical investigation of tourist travel behaviour in the digital environment and provides a reference for the creation of ICCs and the marketing of tourist destinations.

Humanities and Social Sciences CommunicationsVol. 12(1)
Police Department (LT), Vocational College of Traffic and Transport (SI), Chongqing Jiaotong University (CN)
National Natural Science Foundation of China, Chongqing Municipal Education Commission
Openalex Percentile: Top 5%
Digital Marketing and Social Media
4.20
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