TY - GEN
T1 - Factors Influencing the Use of a Mobile Recommender System in Tourism
T2 - 25th International Conference on Human-Computer Interaction, HCII 2023
AU - Putra, Panca O.Hadi
AU - Hidayanto, Achmad Nizar
AU - Mahmud, Mufti
AU - Phusavat, Kongkiti
AU - Simamora, Bricen Sarido
AU - Al Jabbar, Dzaky Abdi
AU - Habibullah, Muhammad Nur Faiz
AU - Azzahra, Prissy
N1 - Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2024
Y1 - 2024
N2 - The growth of circulating information in tourism often makes tourists have difficulties in choosing tourist attractions. These difficulties may be due to information overload or inaccurate information. To overcome this, tourists typically use mobile recommender applications such as TripAdvisor and Google Trips to get recommendations for suitable tourist attractions. This study aims to determine what factors influence the use of a mobile recommender system in tourism, from the perspective of Social Cognitive Theory. In the context of this theory, there are three factors that need to be examined, namely the Technical Environment, Social Environment, and Person. Data were collected through an online questionnaire from 213 valid respondents and analyzed using partial least squares structural equation modelling technique (PLS-SEM). The results indicate that critical mass, peer influence, external influence, subjective norm, perceived credibility, subjective norm, outcome expectation, and self-efficacy have a significant effect on the use of mobile recommender systems in tourism, with self-efficacy having the biggest influence.
AB - The growth of circulating information in tourism often makes tourists have difficulties in choosing tourist attractions. These difficulties may be due to information overload or inaccurate information. To overcome this, tourists typically use mobile recommender applications such as TripAdvisor and Google Trips to get recommendations for suitable tourist attractions. This study aims to determine what factors influence the use of a mobile recommender system in tourism, from the perspective of Social Cognitive Theory. In the context of this theory, there are three factors that need to be examined, namely the Technical Environment, Social Environment, and Person. Data were collected through an online questionnaire from 213 valid respondents and analyzed using partial least squares structural equation modelling technique (PLS-SEM). The results indicate that critical mass, peer influence, external influence, subjective norm, perceived credibility, subjective norm, outcome expectation, and self-efficacy have a significant effect on the use of mobile recommender systems in tourism, with self-efficacy having the biggest influence.
KW - Mobile Recommender System
KW - PLS-SEM
KW - Social Cognitive Theory
KW - Tourism
UR - http://www.scopus.com/inward/record.url?scp=85180153524&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-49212-9_66
DO - 10.1007/978-3-031-49212-9_66
M3 - Conference contribution
AN - SCOPUS:85180153524
SN - 9783031492112
T3 - Communications in Computer and Information Science
SP - 537
EP - 547
BT - HCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
A2 - Ntoa, Stavroula
A2 - Salvendy, Gavriel
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 23 July 2023 through 28 July 2023
ER -