TY - GEN
T1 - Understanding Visit Intention Through Travel Influencer Content on TikTok
T2 - International Conference on Marketing and Technologies, ICMarkTech 2025
AU - Puelles-Davila, Nadia
AU - Baldeon-Gonzales, Daniella
AU - Mauricio-Andía, Martín
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - Social media influencers are key actors shaping tourists’ attitudes and decisions, particularly regarding destination choice. This study applies the Information Adoption Model (IAM) to examine how TikTok content affects the perceived usefulness of information, its adoption, and visit intention. Using a quantitative approach with PLS-SEM and a sample of 360 users from Metropolitan Lima who follow travel influencers, the findings reveal that trustworthiness, expertise, argument quality, and information quality significantly influence perceived usefulness. In turn, perceived usefulness impacts information adoption and visit intention, with adoption emerging as the strongest predictor. The research validates the IAM in a short-form content environment and provides implications for digital tourism marketing, suggesting collaboration with trustworthy influencers and the creation of clear and relevant content.
AB - Social media influencers are key actors shaping tourists’ attitudes and decisions, particularly regarding destination choice. This study applies the Information Adoption Model (IAM) to examine how TikTok content affects the perceived usefulness of information, its adoption, and visit intention. Using a quantitative approach with PLS-SEM and a sample of 360 users from Metropolitan Lima who follow travel influencers, the findings reveal that trustworthiness, expertise, argument quality, and information quality significantly influence perceived usefulness. In turn, perceived usefulness impacts information adoption and visit intention, with adoption emerging as the strongest predictor. The research validates the IAM in a short-form content environment and provides implications for digital tourism marketing, suggesting collaboration with trustworthy influencers and the creation of clear and relevant content.
KW - Argument quality
KW - Expertise
KW - Information adoption model
KW - Information quality
KW - Travel influencer
KW - Trustworthiness
UR - https://www.scopus.com/pages/publications/105037464987
U2 - 10.1007/978-3-032-16288-5_38
DO - 10.1007/978-3-032-16288-5_38
M3 - Contribución a la conferencia
AN - SCOPUS:105037464987
SN - 9783032162878
T3 - Smart Innovation, Systems and Technologies
SP - 541
EP - 555
BT - Marketing and Smart Technologies - Proceedings of ICMarkTech 2025
A2 - Reis, José Luís
A2 - Ruiz-Mafé, Carla
A2 - Peter, Marc K.
A2 - Reis, Luís Paulo
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 27 November 2025 through 29 November 2025
ER -