Intention to Visit Tourist Destinations: The Effect of Using Mobile Tourism Recommender System on Visit Intention by Using TTF Aspects, Technological Features, and Social Motivation

Suryana Setiawan, Suryana Setiawan and Nilamsari Putri Utami, Nilamsari Putri Utami and Mohammed Al Kwarizmi Dwi Anggara, Mohammed Al Kwarizmi Dwi Anggara and Muhamad Raihan Fikriansyah, Muhamad Raihan Fikriansyah and Muhammad Daril Nofriansyah, Muhammad Daril Nofriansyah and Rania Azzahra, Rania Azzahra and Achmad Nizar Hidayanto, Achmad Nizar Hidayanto (2022) Intention to Visit Tourist Destinations: The Effect of Using Mobile Tourism Recommender System on Visit Intention by Using TTF Aspects, Technological Features, and Social Motivation. Jurnal Sistem Informasi (Journal of Information System), 18 (1). pp. 45-61. ISSN e-ISSN:2502-6631

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Official URL: https://doi.org/10.21609/jsi.v18i1.1142

Abstract

This study aims to determine whether the use of the MTRS application can affect the intention to visit tourist destinations and the level of influence of the factors that can influence it. The model in this study involves the Task-Technology Fit (TTF) model and aspects, technological features, social motivation, visit intention, and use intention to identify visit intention. The method used to collect data in this research is a web-based online survey using Google Forms distributed through social media. The target respondents were individuals who had used the mobile tourism recommender system. Data from 213 valid respondents were processed and analyzed using Structural Equation Modeling (SEM) with the help of the SmartPLS application. The conclusion is that the use of the MTRS application can affect the intention to visit tourist destinations.

Item Type:	Article
Uncontrolled Keywords:	Mobile Tourism Recommender System, TTF, Technological Features, Social Motivation, Use Intention, Visit Intention
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User:	Mrs Ni Made Yunia Dwi Savitri
Date Deposited:	17 Nov 2022 01:31
Last Modified:	17 Nov 2022 01:31
URI:	http://eprints.triatmamulya.ac.id/id/eprint/1753

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