Theoretical Model for Continuance Usage Intention of mHealth Application

A. Khalil, W. Suparta, E. Abdurachman, A. Trisetyarso
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引用次数: 1

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.
移动医疗应用持续使用意愿的理论模型
在这个时代,市场上有超过31.8万个移动健康应用程序。到2018年,超过40%的客户使用手机管理自己的健康。但是,大约36%的移动健康应用程序在下载后30天内被卸载。卸载应用程序对服务提供商和用户的影响都相当大。因此,本研究旨在创建一个理论模型,以确定哪些因素影响移动健康应用程序的持续使用意愿。本文以信息系统连续性模型为基础,构建了本研究的理论模型。数据采用偏最小二乘扫描电镜(PLS-SEM)进行统计学分析。数据收集是通过对印度尼西亚移动健康应用程序的93名活跃用户进行在线调查进行的。我们的研究发现,影响移动医疗持续使用意愿的因素是感知有用性和感知费用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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