Factors Influencing the Use of a Mobile Recommender System in Tourism: A Social Cognitive Theory Perspective

Panca O.Hadi Putra; Achmad Nizar Hidayanto; Mufti Mahmud; Kongkiti Phusavat; Bricen Sarido Simamora; Dzaky Abdi Al Jabbar; Muhammad Nur Faiz Habibullah; Prissy Azzahra

doi:10.1007/978-3-031-49212-9_66

Factors Influencing the Use of a Mobile Recommender System in Tourism: A Social Cognitive Theory Perspective

Panca O.Hadi Putra^*, Achmad Nizar Hidayanto, Mufti Mahmud, Kongkiti Phusavat, Bricen Sarido Simamora, Dzaky Abdi Al Jabbar, Muhammad Nur Faiz Habibullah, Prissy Azzahra

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	HCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings
Editors	Constantine Stephanidis, Margherita Antona, Stavroula Ntoa, Gavriel Salvendy
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	537-547
Number of pages	11
ISBN (Print)	9783031492112
DOIs	https://doi.org/10.1007/978-3-031-49212-9_66
State	Published - 2024
Externally published	Yes
Event	25th International Conference on Human-Computer Interaction, HCII 2023 - Copenhagen, Denmark Duration: 23 Jul 2023 → 28 Jul 2023

Publication series

Name	Communications in Computer and Information Science
Volume	1957 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	25th International Conference on Human-Computer Interaction, HCII 2023
Country/Territory	Denmark
City	Copenhagen
Period	23/07/23 → 28/07/23

Bibliographical note

Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Mobile Recommender System
PLS-SEM
Social Cognitive Theory
Tourism

ASJC Scopus subject areas

General Computer Science
General Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-49212-9_66

Cite this

Putra, P. O. H., Hidayanto, A. N., Mahmud, M., Phusavat, K., Simamora, B. S., Al Jabbar, D. A., Habibullah, M. N. F., & Azzahra, P. (2024). Factors Influencing the Use of a Mobile Recommender System in Tourism: A Social Cognitive Theory Perspective. In C. Stephanidis, M. Antona, S. Ntoa, & G. Salvendy (Eds.), HCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings (pp. 537-547). (Communications in Computer and Information Science; Vol. 1957 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-49212-9_66

Putra, Panca O.Hadi ; Hidayanto, Achmad Nizar ; Mahmud, Mufti et al. / Factors Influencing the Use of a Mobile Recommender System in Tourism : A Social Cognitive Theory Perspective. HCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. editor / Constantine Stephanidis ; Margherita Antona ; Stavroula Ntoa ; Gavriel Salvendy. Springer Science and Business Media Deutschland GmbH, 2024. pp. 537-547 (Communications in Computer and Information Science).

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title = "Factors Influencing the Use of a Mobile Recommender System in Tourism: A Social Cognitive Theory Perspective",

abstract = "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.",

keywords = "Mobile Recommender System, PLS-SEM, Social Cognitive Theory, Tourism",

author = "Putra, \{Panca O.Hadi\} and Hidayanto, \{Achmad Nizar\} and Mufti Mahmud and Kongkiti Phusavat and Simamora, \{Bricen Sarido\} and \{Al Jabbar\}, \{Dzaky Abdi\} and Habibullah, \{Muhammad Nur Faiz\} and Prissy Azzahra",

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Putra, POH, Hidayanto, AN, Mahmud, M, Phusavat, K, Simamora, BS, Al Jabbar, DA, Habibullah, MNF & Azzahra, P 2024, Factors Influencing the Use of a Mobile Recommender System in Tourism: A Social Cognitive Theory Perspective. in C Stephanidis, M Antona, S Ntoa & G Salvendy (eds), HCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. Communications in Computer and Information Science, vol. 1957 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 537-547, 25th International Conference on Human-Computer Interaction, HCII 2023, Copenhagen, Denmark, 23/07/23. https://doi.org/10.1007/978-3-031-49212-9_66

Factors Influencing the Use of a Mobile Recommender System in Tourism: A Social Cognitive Theory Perspective. / Putra, Panca O.Hadi; Hidayanto, Achmad Nizar; Mahmud, Mufti et al.
HCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. ed. / Constantine Stephanidis; Margherita Antona; Stavroula Ntoa; Gavriel Salvendy. Springer Science and Business Media Deutschland GmbH, 2024. p. 537-547 (Communications in Computer and Information Science; Vol. 1957 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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.

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KW - Social Cognitive Theory

KW - Tourism

UR - https://www.scopus.com/pages/publications/85180153524

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

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BT - HCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings

A2 - Stephanidis, Constantine

A2 - Antona, Margherita

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A2 - Salvendy, Gavriel

PB - Springer Science and Business Media Deutschland GmbH

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ER -

Putra POH, Hidayanto AN, Mahmud M, Phusavat K, Simamora BS, Al Jabbar DA et al. Factors Influencing the Use of a Mobile Recommender System in Tourism: A Social Cognitive Theory Perspective. In Stephanidis C, Antona M, Ntoa S, Salvendy G, editors, HCI International 2023 – Late Breaking Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 537-547. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-49212-9_66

Factors Influencing the Use of a Mobile Recommender System in Tourism: A Social Cognitive Theory Perspective

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Fingerprint

Cite this