Analysing Tourism Application Using Information Technology Governance Trust Model in COVID-19 Pandemic Situation

Author:

Setyadi R

Abstract

Abstract At the beginning of 2020, Indonesia was shocked by the COVID-19 pandemic. One of the areas affected by the COVID-19 outbreak is tourism. In the tourism sector, the Indonesian government is closing tourism activities to minimize the transmission of the COVID-19 virus. The tourism sector has been a mainstay of income for tourism village communities and supports its foreign exchange earnings. This study analyzes local government tourism applications using IT governance trust (ITGT)in the COVID-19 pandemic situation. The method used is by distributing questionnaires to application makers and government employees who use tourist applications. Data were analyzed inferentially using quantitative Smart-PLS analysis. The application of multiple regression techniques to analyze questionnaire data on mobile tourism applications’ reliability and validity during the COVID-19 epidemic. This article used descriptive research to respond to the implementation of IT governance (ITG). The statistical results obtained indicate that the quality of information, system quality, and service quality of the tourism mobile application significantly affect user confidence in using tourism applications. Thus, this study contributes to recommendations for using the ITGT model to determine the extent to which tourism applications can prepare themselves to improve their tourism applications during the COVID-19 pandemic. This study provides direct information to practitioners about what to consider in enhancing tourist application features, especially in the COVID-19 pandemic situation, so there is a need for ITG in planning reliable tourism applications during the COVID-19 pandemic.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference31 articles.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3