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A trade-off dual-factor model to investigate discontinuous intention of health app users: From the perspective of information disclosure.
Journal of Biomedical informatics ( IF 4.5 ) Pub Date : 2019-10-12 , DOI: 10.1016/j.jbi.2019.103302
Cheng-Kui Huang , Shin-Horng Chen , Chia-Pei Tang , Hsin-Ying Huang

Numerous mobile apps have been developed for making our lives more convenient and improving our quality of life. Health apps are among them. These types of apps are designed to help users for recording their health-related behaviors and to give advice about improving users’ physical conditions. However, users frequently do not continue to use these health apps. As a result, the companies of health apps have paid the development cost but cannot get back the benefit from the apps they launch. To find out the reason, this study conducts an empirical investigation and develops a trade-off dual-factor model to dissect the reason why users discontinue use of health apps. The research model is based on the perspectives of information disclosure and expectation-confirmation theory. Users may worry about the disclosure of individual health privacy; however, on the other hand, they enjoy the functions of health apps, proffering various kinds of health-related assistance. The decision of whether or not to continue using this kind of app turns into a trade-off issue. To delve into the determinants, we conduct an online survey and collect 242 qualified responses as our research samples. Structural equation modeling is employed to analyze the samples in this study. The result reveals that our research model explains 31% of the variance. The findings and implications can serve as references for researchers and practitioners.



中文翻译:

一种权衡双因素模型来研究健康应用程序用户的不连续意图:从信息公开的角度。

已经开发了许多移动应用程序,以使我们的生活更便捷并改善我们的生活质量。健康应用程序就是其中之一。这些类型的应用旨在帮助用户记录其与健康相关的行为,并提供有关改善用户身体状况的建议。但是,用户经常不会继续使用这些运行状况应用程序。结果,健康应用程序的公司已经支付了开发成本,但无法从其启动的应用程序中获得收益。为了找出原因,本研究进行了一项实证研究,并开发了一个权衡的双因素模型来剖析用户停止使用健康应用程序的原因。该研究模型基于信息披露和期望确认理论的观点。用户可能会担心个人健康隐私的披露;然而,另一方面,他们享受健康应用程序的功能,并提供各种与健康相关的帮助。是否继续使用这种应用程序的决定变成了权衡的问题。为了深入研究决定因素,我们进行了在线调查,并收集了242个合格的答复作为我们的研究样本。在本研究中,采用结构方程建模来分析样本。结果表明,我们的研究模型可以解释31%的方差。研究结果和启示可为研究人员和从业人员提供参考。我们进行了在线调查,并收集了242个合格的答复作为我们的研究样本。在本研究中,采用结构方程建模来分析样本。结果表明,我们的研究模型可以解释31%的方差。研究结果和启示可为研究人员和从业人员提供参考。我们进行了在线调查,并收集了242个合格的答复作为我们的研究样本。在本研究中,采用结构方程建模来分析样本。结果表明,我们的研究模型可以解释31%的方差。研究结果和启示可为研究人员和从业人员提供参考。

更新日期:2019-10-12
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