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- W3136998480 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." @default.
- W3136998480 created "2021-03-29" @default.
- W3136998480 creator A5042700614 @default.
- W3136998480 date "2021-03-01" @default.
- W3136998480 modified "2023-09-25" @default.
- W3136998480 title "Analysing Tourism Application Using Information Technology Governance Trust Model in COVID-19 Pandemic Situation" @default.
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- W3136998480 doi "https://doi.org/10.1088/1742-6596/1842/1/012006" @default.
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