近年來，由於智慧型手機與高速行動網路的普及化，藉助行動應用程式（App）從事個人運動記錄與健康管理，已逐漸成為現代人必備的一種生活習慣。同一時間，結合行動資訊科技與醫療服務而衍生的行動醫療（Mobile Health），更是在2014年4月被歐盟列為公共衛生（Public Health）領域的重點發展項目。不過，對消費者而言，使用行動醫療App對個人醫療資訊隱私所產生的風險，也是不應被忽視的一個研究議題。因此，本研究擬結合隱私計算（Privacy Calculus）與風險感受行為（Risk-as-feelings）觀點，探討有哪些因素會實質影響我國消費者對於蘋果公司（Apple, Inc.）於2015年3月所推出的殺手級應用ResearchKit相關醫療類App的採用意願。
本研究係採用「問卷調查法」進行實證研究資料的蒐集，總計回收有效樣本數為517筆，同時使用偏最小平方法（Partial Least Squares, PLS）以進行研究模型的驗證。研究結果顯示，在理性構面中，對開發者的信任是影響行動醫療App採用意願的最重要決定因素，認知風險亦會顯著直接或間接影響行動醫療App採用意願，但隱私顧慮並不會顯著影響行動醫療App採用意願；在感性構面中，健康狀態情緒同樣會顯著影響行動醫療App採用意願。另外，本研究模型的整體解釋能力為26.7%，代表本研究對於採納新資訊科技所提出的理性與感性元素整合觀點具有一定的參考價值。
最後，本研究也一併提出相關學術面與實務面的管理意涵，以期對後續的行動醫療相關研究有所助益。

Thanks to the rapid development and popularization of smartphone and high-speed cellular networks, more and more people today are using mobile applications (apps) to conduct their sport and health management. At the same time, the European Commission has recognized the acute importance of investing in mobile health (mHealth), a kind of medical and public health practice supported by mobile devices, to address the shortage of healthcare workers in the EU countries. While mHealth holds great promise in this field, it should not also be ignored that mHealth has created a new set of risk to privacy and security since personal health information can be stored on mobile devices or shared via networks that are not secure. Drawing on the literatures of privacy calculus theory and risk-as-feelings perspective as the conceptual foundation, this study attempts to understand how privacy perceptions and calculus may influence individuals’ intention to adopt mHealth apps with a particular focus on ResearchKit, which is a killer application introduced by Apple that allows scientists and doctors to create powerful apps for medical research. In this study, 517 measurable samples were collected to empirically verify the research model and partial least squares (PLS) approach was employed as the data analysis tool. The results show that trust in app developer is the key variable to individuals’ adoption intention, and perceived risk and health status emotion both effectively moderate individuals’ adoption intention. The theoretical and practical implications, limitations, and future research directions in mHealth apps are then discussed at the end of this article.

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