Open AccessUNDERSTANDING FACTORS INFLUENCING TRAVELER’S ADOPTION OF TRAVEL INFLUENCER ADVERTISING: AN INFORMATION ADOPTION MODEL APPROACH
Author(s) -
Reny Nadlifatin,
Satria Fadil Persada,
Josua Hasiholan Munthe,
Bobby Ardiansyah Miraja,
Anak Agung Ngurah Perwira Redi,
Yogi Tri Prasetyo,
Prawira Fajarindra Belgiawan
Publication year - 2022
Publication title -
verslas: teorija ir praktika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.369
H-Index - 17
eISSN - 1822-4202
pISSN - 1648-0627
DOI - 10.3846/btp.2022.13149
Subject(s) - hospitality , tourism , credibility , source credibility , marketing , structural equation modeling , construct (python library) , business , information quality , affect (linguistics) , perception , social media , service (business) , advertising , argument (complex analysis) , service quality , quality (philosophy) , information system , psychology , computer science , political science , world wide web , law , communication , machine learning , programming language , neuroscience , philosophy , chemistry , biochemistry , epistemology
In the service sector, such as tourism and hospitality, a traveler often tries to find information about their destination digitally, comparing it to alternatives available to have the best option. This demand businesses that are in the tourism and hospitality sector to advertise their destination more creatively and informatively, such as using a travel influencer. The present research was conducted to explore how the public adopts information advertised by a social media influencer that promotes travel or leisure places, better known as a travel influencer. The Information Adoption Model (IAM) was used to explore the factors that could affect people’s perception of Information Usefulness (IU), which then affects Information Adoption (IA). Several hypotheses that were built from the IAM theoretical framework were tested using Partial Least Square Structural Equation Modelling (PLS-SEM) with 150 people as respondents; four out of the seven hypotheses were accepted. From the accepted hypotheses, it was revealed that more dimensions in the Source Credibility construct influence Information Usefulness compared to the dimensions from the Argument Quality constructs.