The Impact of Restaurant Recommendation Information and Recommendation Agent in the Tourism Website on the Satisfaction, Continuous Usage, and Destination Visit Intention

Enjoying local food could be one of the motives for tourism, and local food and restaurant recommendation information would be important for tourists to decide their destination. Recommendation agents are the sorting and searching function to find the best local food and restaurant among the complex...

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Autores principales:	Yan chao Shi, Un-Kon Lee
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	History of scholarship and learning. The humanities AZ20-999 Social Sciences H
Acceso en línea:	https://doaj.org/article/d6803470e4124e5bab5d49c973a194bc
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spelling	oai:doaj.org-article:d6803470e4124e5bab5d49c973a194bc2021-11-15T08:33:23ZThe Impact of Restaurant Recommendation Information and Recommendation Agent in the Tourism Website on the Satisfaction, Continuous Usage, and Destination Visit Intention2158-244010.1177/21582440211046947https://doaj.org/article/d6803470e4124e5bab5d49c973a194bc2021-11-01T00:00:00Zhttps://doi.org/10.1177/21582440211046947https://doaj.org/toc/2158-2440Enjoying local food could be one of the motives for tourism, and local food and restaurant recommendation information would be important for tourists to decide their destination. Recommendation agents are the sorting and searching function to find the best local food and restaurant among the complexity of information, and they could also be helpful for the tourist to decide their destination. Online tourism websites (e.g., Ctrip.com ) started to provide restaurant recommendations containing food-related information and recommendation agents to attract tourists. However, few studies have investigated their impact on the destination visit intention of potential Chinese tourists. This study aims to empirically validate how restaurant recommendation information, including food-related information and recommendation agents, could impact online tourists’ reactions, such as satisfaction, continuous website usage, and destination visits. We developed our hypothesis based on the information system (IS) success model. We gathered 202 data points from potential tourists using quasi-experimental methods, and these data were analyzed by the PLS algorithm. The results indicate that restaurant recommendation information and recommendation agents significantly increase the perceived information quality and perceived system quality. Increased perceived information quality and system quality could significantly increase potential tourists’ satisfaction, website continuous usage intention, and destination visit intention. The results of this study could contribute to making tourism websites more attractive by using local food and restaurant information and recommendation agents.Yan chao ShiUn-Kon LeeSAGE PublishingarticleHistory of scholarship and learning. The humanitiesAZ20-999Social SciencesHENSAGE Open, Vol 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	History of scholarship and learning. The humanities AZ20-999 Social Sciences H
spellingShingle	History of scholarship and learning. The humanities AZ20-999 Social Sciences H Yan chao Shi Un-Kon Lee The Impact of Restaurant Recommendation Information and Recommendation Agent in the Tourism Website on the Satisfaction, Continuous Usage, and Destination Visit Intention
description	Enjoying local food could be one of the motives for tourism, and local food and restaurant recommendation information would be important for tourists to decide their destination. Recommendation agents are the sorting and searching function to find the best local food and restaurant among the complexity of information, and they could also be helpful for the tourist to decide their destination. Online tourism websites (e.g., Ctrip.com ) started to provide restaurant recommendations containing food-related information and recommendation agents to attract tourists. However, few studies have investigated their impact on the destination visit intention of potential Chinese tourists. This study aims to empirically validate how restaurant recommendation information, including food-related information and recommendation agents, could impact online tourists’ reactions, such as satisfaction, continuous website usage, and destination visits. We developed our hypothesis based on the information system (IS) success model. We gathered 202 data points from potential tourists using quasi-experimental methods, and these data were analyzed by the PLS algorithm. The results indicate that restaurant recommendation information and recommendation agents significantly increase the perceived information quality and perceived system quality. Increased perceived information quality and system quality could significantly increase potential tourists’ satisfaction, website continuous usage intention, and destination visit intention. The results of this study could contribute to making tourism websites more attractive by using local food and restaurant information and recommendation agents.
format	article
author	Yan chao Shi Un-Kon Lee
author_facet	Yan chao Shi Un-Kon Lee
author_sort	Yan chao Shi
title	The Impact of Restaurant Recommendation Information and Recommendation Agent in the Tourism Website on the Satisfaction, Continuous Usage, and Destination Visit Intention
title_short	The Impact of Restaurant Recommendation Information and Recommendation Agent in the Tourism Website on the Satisfaction, Continuous Usage, and Destination Visit Intention
title_full	The Impact of Restaurant Recommendation Information and Recommendation Agent in the Tourism Website on the Satisfaction, Continuous Usage, and Destination Visit Intention
title_fullStr	The Impact of Restaurant Recommendation Information and Recommendation Agent in the Tourism Website on the Satisfaction, Continuous Usage, and Destination Visit Intention
title_full_unstemmed	The Impact of Restaurant Recommendation Information and Recommendation Agent in the Tourism Website on the Satisfaction, Continuous Usage, and Destination Visit Intention
title_sort	impact of restaurant recommendation information and recommendation agent in the tourism website on the satisfaction, continuous usage, and destination visit intention
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/d6803470e4124e5bab5d49c973a194bc
work_keys_str_mv	AT yanchaoshi theimpactofrestaurantrecommendationinformationandrecommendationagentinthetourismwebsiteonthesatisfactioncontinuoususageanddestinationvisitintention AT unkonlee theimpactofrestaurantrecommendationinformationandrecommendationagentinthetourismwebsiteonthesatisfactioncontinuoususageanddestinationvisitintention AT yanchaoshi impactofrestaurantrecommendationinformationandrecommendationagentinthetourismwebsiteonthesatisfactioncontinuoususageanddestinationvisitintention AT unkonlee impactofrestaurantrecommendationinformationandrecommendationagentinthetourismwebsiteonthesatisfactioncontinuoususageanddestinationvisitintention
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The Impact of Restaurant Recommendation Information and Recommendation Agent in the Tourism Website on the Satisfaction, Continuous Usage, and Destination Visit Intention

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