文献类型：期刊文献

英文题名：From Influence to Action: Decoding Short-Video Travel Influencers' Impact via Text Mining and SEM-Based Sequential Mediation

作者：Liao, Kai[1];Liang, Rui[2];Liu, Zi-yang[3]

第一作者：Liao, Kai

通讯作者：Liang, R[1];Liu, ZY[2]

机构：[1]Hunan Inst Technol, Business Sch, Hengyang, Peoples R China;[2]Beijing Union Univ, Business Coll, Beijing, Peoples R China;[3]Konkuk Univ, Dept Global Business, Seoul, South Korea

第一机构：Hunan Inst Technol, Business Sch, Hengyang, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Business Coll, Beijing, Peoples R China;[2]corresponding author), Konkuk Univ, Dept Global Business, Seoul, South Korea.|[1141721]北京联合大学商务学院;[11417]北京联合大学;

年份：2025

卷号：19

期号：9

起止页码：2836-2854

外文期刊名：KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS

收录：;EI(收录号：20254119311757);Scopus(收录号：2-s2.0-105018181381);WOS:【SCI-EXPANDED(收录号:WOS:001587009500002)】；

语种：英文

外文关键词：Short-video platforms; Text-mining; Sequential mediation; Tourist behavior; Travel influencers

摘要：Background: Travel influencer-tourist interactions on short-video platforms significantly shape travel behavior, yet their cognitive and affective mechanisms remain underexplored. Objectives: Grounded in Self-Categorization Theory (SCT), this study investigates how travel influencers affect tourist behavior on Chinese short-video travel platforms, with specific objectives: (1) To identify key influencer-perceived dimensions (inspiration, trust, attraction) and psychological mediators (self-categorization, emotional commitment, self-worth); (2) To develop a model illustrating cognitive and affective mediation pathways; (3) To empirically test these mediations. Methods: Employing a mixed-methods design, text-mining and structural equation modeling (SEM). Results: (1) Perceived inspiration and trust influenced tourist behavior via self-categorization; (2) Emotional commitment and self-worth further mediated the self-categorization-behavior relationship; (3) Perceived attraction was rejected, due to content homogenization case by insufficient cultural depth and authentic narratives. Conclusions: (1) Extends SCT to influencer-driven travel behavior on short-video platforms, revealing the sequential mediation of cognitive (self-categorization) and affective (emotional commitment, self-worth) factors; (2) Integrates text-mining with SEM validation; (3) Advocate for authentic, culturally embedded content to foster inspiration and trust, countering homogenization trends in influencer marketing.