Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

How do affective and cognitive involvement affect tourism intentions

A perspective on blogger impact

Bibliographic Data

ID21698320
AuthorsTao Hu (0000-0001-7893-096X, Hainan University), Hu Tao (0009-0003-9301-8022, Hainan University), Song Peiying (Hainan University, corresponding author), Wu Huihui (Hainan University), Feng Jiamin (Hainan University), Feng Jia-min (Hainan University)
Year2025
Volume28
Issue20
Pages3337-3356
Publication date2025-10-18
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCurrent Issues in Tourism (JOURNAL)
Journal identifiersISSN: 1368-3500 • E-ISSN: 1747-7603
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13683500.2024.2392763
OpenAlexW4401657046
LanguageEN
Citations received5
References cited60

Social Network Services (SNS) platforms are crucial sources of travel information. Xiaohongshu, a highly esteemed platform in China and globally, provides travel guides and lifestyle information. Empirical studies on how influencers, as well as the affective and rational factors of travel user-generated content (UGC) affect travel intentions are limited. Based on involvement theory and dual-system theory, this study uses topic modelling, sentiment analysis, and semantic network visualization to analyze travel posts and comments on Xiaohongshu. It reveals the affective and functional factors of posts by bloggers of varying impact and their effects on audience affective and cognitive involvement, processing systems, and travel intentions. The results are as follows: (1) Posts by medium-impact bloggers are more successful in generating and enhancing travel intentions. (2) Affective factors trigger affective involvement and processing, driving heuristic travel intentions; functional factors drive cognitive processing through cognitive involvement, leading to cognitive travel intentions. (3) The proper emotional intensity of affective and functional factors effectively transmits information, builds audience confidence, and maximises the enhancement of travel intentions. This study enriches the research viewpoint and theoretical foundation of enhancing travel intentions, providing practical recommendations for tourism practitioners in creating appropriate and effective emotional promotional content

Advertising · Business · Cognition · Influencer marketing · Information processing theory · Social media · Tourism · World Wide Web · Advanced Text Analysis Techniques · Applied Psychology · Computer Science · Digital Marketing and Social Media · Media Influence and Health · Psychology · Social Psychology · Marketing

  • When responsibility fails

    Jing Yu, Houcai Wang•Current Issues in Tourism•2025

  • Narrative formats in virtual dark tourism

    Jiahui Wang, Muzaffer Uysal et al.•Current Issues in Tourism•2025

  • The influence of positive emotions in tourism experiences on online comments

    Minwei Deng, Xiaoli Li et al.•Current Issues in Tourism•2026

  • Feeling unsafe together”

    Jie Xiao, Yinbin Lin et al.•Asia Pacific Journal of Tourism…•2025

  • What counts as knowledge in platform societies? Evidence from affective epistemic mobilities on rednote

    Xing Zheng, Ming Chen et al.•Mobilities•2026

  • The Culture of Connectivity

    José Van Dijck•The culture of connectivity•2013

  • Tourism Risk and Uncertainty

    Open Access•Allan M Williams, Vladimir Baláž•Travel Research Bulletin•2015

  • A hedonic motivation model in virtual reality tourism

    Open Access•Myung Ja Kim, C M Hall•International Journal of…•2019

  • Matplotlib

    Open Access•John D Hunter•Computing in Science & Engineering•2007

  • Arousal Increases Social Transmission of Information

    Open Access•Jonah Berger•Psychological Science•2011

  • Mining the impact of social media information on public green consumption attitudes

    Open Access•Jun Fan, Lijuan Peng et al.•Humanities and Social Sciences…•2024

  • Examining the effect of potential tourists’ wine product involvement on wine tourism destination image and travel intention

    Gang Wu, Lifang Liang•Current Issues in Tourism•2020

  • ‘Instant Noodle Crisis’

    Huihui Wu, Hui-Hui Wu et al.•Current Issues in Tourism•2024

  • How travel influencers affect visit intention? The roles of cognitive response, trust, Covid-19 fear and confidence in vaccine

    Cihan Seçi̇lmi̇ş, Cansev Özdemir et al.•Current Issues in Tourism•2022

  • Identifying the role of media discourse in tourism demand forecasting

    Yihong Chen, Tao Hu et al.•Current Issues in Tourism•2024

  • Influencer advertising on Instagram

    Open Access•Loes Janssen, Alexander P Schouten et al.•International Journal of…•2022

  • Are they being authentic? The effects of self-disclosure and message sidedness on sponsored post effectiveness

    Susanna Lee, Benjamin K Johnson•International Journal of…•2022

  • Exploring the credibility of online celebrities' Instagram profiles in influencing the purchase decisions of young female users

    Open Access•Elmira Djafarova, Chloe Rushworth•Computers in Human Behavior•2016

  • The impact of electronic word-of-mouth communication

    Open Access•Christy M K Cheung, Dimple R Thadani•Decision Support Systems•2012

  • Opinion mining from online travel reviews

    Open Access•Zhiping Hou, Fasheng Cui et al.•Tourism Management•2019

  • Involvement theory in constructing bloggers' intention to purchase travel products

    Open Access•Ching‐Yuan Huang, Ching-Yuan Huang et al.•Tourism Management•2010

  • Slow tourism on Instagram

    Brianna Le Busque, John Mingoia et al.•Tourism Recreation Research•2022

  • NetworKit

    Open Access•Christian Staudt, Christian L Staudt et al.•Network Science•2016

  • Co-construction of the tourist experience in social networking sites

    Open Access•Li Wang, P Alasuutari•Tourist Studies•2017

  • Impact of Vlog Marketing on Consumer Travel Intent and Consumer Purchase Intent With the Moderating Role of Destination Image and Ease of Travel

    Open Access•M Irfan, Muhammad Shaukat Malik et al.•SAGE Open•2022

Unique citing works5
Citations per year5
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae