DEVELOPMENT OF CONTINUANCE INTENTION MODEL TO USE HOSPITALITY APPS: A SOCIO-TECHNICAL SYSTEM APPROACH FROM USER’S PERSPECTIVE

Hospitality apps is designed to offer a range of services that facilitate hotel guests with online services. A hotel reservation app that meets the user's emotional and functional needs will add user attachment to the application, which will further impact the satisfaction and continuance in...

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Main Author: Noprita, Zikra
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/84558
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:84558
spelling id-itb.:845582024-08-16T07:16:52ZDEVELOPMENT OF CONTINUANCE INTENTION MODEL TO USE HOSPITALITY APPS: A SOCIO-TECHNICAL SYSTEM APPROACH FROM USER’S PERSPECTIVE Noprita, Zikra Indonesia Theses Hospitality apps, Continuance Intention, Socio-technical system, Attachment theory, Expectation-confirmation model. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/84558 Hospitality apps is designed to offer a range of services that facilitate hotel guests with online services. A hotel reservation app that meets the user's emotional and functional needs will add user attachment to the application, which will further impact the satisfaction and continuance intention. The aim of this study is to improve understanding of the factors that influence the use of hospitality applications from the user's point of view. The research focuses on the development of models by integrating socio-technical system model, attachment theory, and expectation confirmation model. Based on previous research, the variables hypothesized to be factors influencing continuance intention are satisfaction, usability, emotional attachment, functional attachment, expectation confirmation, brand attachment, accuracy, and personalization. The data was collected through a questionnaire of 246 users of the hospitality application. However, after the elimination of respondents who did not meet the required criteria, the data was processed as much as 238 data. The majority of respondents are the younger generation, who have used the app with one to five years of experience. The most widely used application is Taveloka. Data processing is done using the PLS-SEM analysis method to determine the interaction and significance of the relationship between research variables. The results showed that satisfaction and emotional attachment affect continuance intention. Usability and functional attachment also influence satisfaction. Moreover, expectation confirmation, brand attachment, and functional attachments influence emotional attachment. Finally, accuracy and personalization affect functional attachment. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Hospitality apps is designed to offer a range of services that facilitate hotel guests with online services. A hotel reservation app that meets the user's emotional and functional needs will add user attachment to the application, which will further impact the satisfaction and continuance intention. The aim of this study is to improve understanding of the factors that influence the use of hospitality applications from the user's point of view. The research focuses on the development of models by integrating socio-technical system model, attachment theory, and expectation confirmation model. Based on previous research, the variables hypothesized to be factors influencing continuance intention are satisfaction, usability, emotional attachment, functional attachment, expectation confirmation, brand attachment, accuracy, and personalization. The data was collected through a questionnaire of 246 users of the hospitality application. However, after the elimination of respondents who did not meet the required criteria, the data was processed as much as 238 data. The majority of respondents are the younger generation, who have used the app with one to five years of experience. The most widely used application is Taveloka. Data processing is done using the PLS-SEM analysis method to determine the interaction and significance of the relationship between research variables. The results showed that satisfaction and emotional attachment affect continuance intention. Usability and functional attachment also influence satisfaction. Moreover, expectation confirmation, brand attachment, and functional attachments influence emotional attachment. Finally, accuracy and personalization affect functional attachment.
format Theses
author Noprita, Zikra
spellingShingle Noprita, Zikra
DEVELOPMENT OF CONTINUANCE INTENTION MODEL TO USE HOSPITALITY APPS: A SOCIO-TECHNICAL SYSTEM APPROACH FROM USER’S PERSPECTIVE
author_facet Noprita, Zikra
author_sort Noprita, Zikra
title DEVELOPMENT OF CONTINUANCE INTENTION MODEL TO USE HOSPITALITY APPS: A SOCIO-TECHNICAL SYSTEM APPROACH FROM USER’S PERSPECTIVE
title_short DEVELOPMENT OF CONTINUANCE INTENTION MODEL TO USE HOSPITALITY APPS: A SOCIO-TECHNICAL SYSTEM APPROACH FROM USER’S PERSPECTIVE
title_full DEVELOPMENT OF CONTINUANCE INTENTION MODEL TO USE HOSPITALITY APPS: A SOCIO-TECHNICAL SYSTEM APPROACH FROM USER’S PERSPECTIVE
title_fullStr DEVELOPMENT OF CONTINUANCE INTENTION MODEL TO USE HOSPITALITY APPS: A SOCIO-TECHNICAL SYSTEM APPROACH FROM USER’S PERSPECTIVE
title_full_unstemmed DEVELOPMENT OF CONTINUANCE INTENTION MODEL TO USE HOSPITALITY APPS: A SOCIO-TECHNICAL SYSTEM APPROACH FROM USER’S PERSPECTIVE
title_sort development of continuance intention model to use hospitality apps: a socio-technical system approach from user’s perspective
url https://digilib.itb.ac.id/gdl/view/84558
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