A. Khalil, W. Suparta, E. Abdurachman, A. Trisetyarso
{"title":"移动医疗应用持续使用意愿的理论模型","authors":"A. Khalil, W. Suparta, E. Abdurachman, A. Trisetyarso","doi":"10.1109/ICRAMET51080.2020.9298668","DOIUrl":null,"url":null,"abstract":"In this day and age, more than 318.000 mobile health apps are available in the market. By 2018, there were over 40% customers use their mobile phone to manage their health. But, approximately 36% mHealth applications were uninstalled within 30 days of download. The impact of uninstalled app is quite substantial both from service providers and users. Therefore, this research aims to create a theoretical model to identify what factors affecting continuance usage intention of mHealth apps. The Information System Continuance Model is used as the basis to construct the theoretical model for this research. Data was statistically analyzed by Partial Least Square-SEM (PLS-SEM). Data collection was conducted by distributing online survey to 93 active users of mHealth application in Indonesia. Our study found factors that affecting continuance usage intention of mHealth are perceived usefulness and perceived fee.","PeriodicalId":228482,"journal":{"name":"2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Theoretical Model for Continuance Usage Intention of mHealth Application\",\"authors\":\"A. Khalil, W. Suparta, E. Abdurachman, A. Trisetyarso\",\"doi\":\"10.1109/ICRAMET51080.2020.9298668\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this day and age, more than 318.000 mobile health apps are available in the market. By 2018, there were over 40% customers use their mobile phone to manage their health. But, approximately 36% mHealth applications were uninstalled within 30 days of download. The impact of uninstalled app is quite substantial both from service providers and users. Therefore, this research aims to create a theoretical model to identify what factors affecting continuance usage intention of mHealth apps. The Information System Continuance Model is used as the basis to construct the theoretical model for this research. Data was statistically analyzed by Partial Least Square-SEM (PLS-SEM). Data collection was conducted by distributing online survey to 93 active users of mHealth application in Indonesia. Our study found factors that affecting continuance usage intention of mHealth are perceived usefulness and perceived fee.\",\"PeriodicalId\":228482,\"journal\":{\"name\":\"2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRAMET51080.2020.9298668\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAMET51080.2020.9298668","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Theoretical Model for Continuance Usage Intention of mHealth Application
In this day and age, more than 318.000 mobile health apps are available in the market. By 2018, there were over 40% customers use their mobile phone to manage their health. But, approximately 36% mHealth applications were uninstalled within 30 days of download. The impact of uninstalled app is quite substantial both from service providers and users. Therefore, this research aims to create a theoretical model to identify what factors affecting continuance usage intention of mHealth apps. The Information System Continuance Model is used as the basis to construct the theoretical model for this research. Data was statistically analyzed by Partial Least Square-SEM (PLS-SEM). Data collection was conducted by distributing online survey to 93 active users of mHealth application in Indonesia. Our study found factors that affecting continuance usage intention of mHealth are perceived usefulness and perceived fee.