探討影響民眾對使用行動健康管理系統之行為意圖

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探討影響民眾對使用行動健康管理系統之行為意圖

A Study on the Impact in Behavioral Intentions with Using Mobile Health Management Systems

李亞珊 , Masters　　Advisor：黃維民　　

繁體中文

資訊系統成功模式；健康信念模式；行動健康管理系統；個人健康記錄； Information System Success model ； The Health Belief Model(HBM) ； Mobile health management system ； Personal health record(PHR)

Abstract │ Reference (106) │ Altmetrics

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In recent years, the growth of mobile devices at an alarming rate throughout the world, in various industries have been developing mobility, and even the medical industry is no exception. However, the majority of related research focuses on health information obtained from the usage of micro blogs, less discussion on behavioral intentions of the general public for using smart phones to manage their own health. This study based on The Health Belief Model, supplemented by Information System Success model and other relevant variables, the purpose is to investigate factors which affect Intentions of people using mobile health management system.
This study used the Internet questionnaire, a total of 158 valid questionnaires were collected, and used statistical software to verify the explanatory capability of the hypothesis relationship between each variable and the dependent variable. In this study, the overall structure of the explanatory power of the model is 53.1%, we found that the main factors on the impact to the user in behavioral intentions with using mobile health management system is Perceived Barriers to Taking Action , Computer Self-efficacy and Social Influence variables, Whereas Perceived Usefulness be impacted by Mobility, Information Quality and System Quality, which can then affect the behavioral intentions.

Reference ( 106 ) 〈TOP〉

1.吳錫惠&吳賜聲(民101)。運用科技接受模式探討使用者在行動通訊上網之影響因素－以智慧型手機為例。萬能商學學報，17，81-102。
連結：
5.黃慶原(民101)。從行動寬頻技術演進論我國4G產業政策。台灣經濟研究月刊，35(5)，128-136。
連結：
6.廖信，馬立懿，蔡旻軒(民99)。Netbook應用在電子書閱讀之探討。中華印刷科技年報，466-482。
連結：
7.謝偉雄，曾明郎，林添鴻，張至琦(民99)。中華大學新生身體質量指數、健康信念與運動參與程度之研究。中華人文社會學報，12，42-66。
連結：
1.Ahn, T., Ryu, S., & Han, I. (2004). The impact of the online and offline features on the user acceptance of Internet shopping malls. Electronic Commerce Research and Applications, 3(4), 405-420.
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