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    Please use this identifier to cite or link to this item: http://ccur.lib.ccu.edu.tw/handle/A095B0000Q/477


    Title: 以多重觀點探討接受血糖行動健康系統之關鍵因素;Exploring the key factors in the acceptance of the mobile blood sugar monitor system from multiple perspectives.
    Authors: 曾芳儀;TSENG, FANG-YI
    Contributors: 資訊管理學系碩士在職專班
    Keywords: 延伸型整合科技接受模式;心理帳戶理論;個人特質;行為意圖;血糖監控系統;UTAUT2;mental account theory;personality;behavioral intentions;healthcare monitoring system
    Date: 2017
    Issue Date: 2019-07-17
    Publisher: 資訊管理學系碩士在職專班
    Abstract: 隨著科技進步,健康管理結合行動科技,行動健康系統除須考量行動化特性外,需考量不同類型被照護者需求。在心理因子與代謝症候群關聯性研究中,控制傳統危險因子後發現心理因子與代謝症候群具正向關聯性,本研究認為血糖檢測使用者對血糖行動健康系統,其接受因素將不同於一般健康者。本研究整?過去文獻,從新科技、心理及個人層面觀點探討血糖檢測使用者接受血糖行動健康系統之關鍵因素。本研究共收集462 份有效問卷,透過SPSS 20.0 進行敘述性統計、信效度分析,使用Smart PLS 3.2 進行研究模型檢定及驗證模型解釋力。分析結果發現,從使用者接受新科技觀點,?績效期望?、?努力期望?、?社會影響?、?促成條件?、?習慣?會影響血糖檢測使用者接受血糖行動健康系統。而從使用者心理層面觀點,?相對優勢?會影響血糖檢測使用者接受血糖行動健康系統;?參考價格?、?參考處境?則不會有影響。從使用者的個人層面觀點探討,?自我效能?、?信任?、?風險偏好?、?健康意識?因素會影響血糖檢測使用者接受血糖行動健康系統。從使用者使用行為探討,則?促成條件?、?習慣?、「行為意圖」會影響血糖檢測使用者接受血糖行動健康系統。本研究根據資料分析結果,驗證解釋影響血糖檢測使用者接受血糖行動健康系統之關鍵因素。其結果期望能對相關學術界、產業界有所貢獻。
    Healthcare management now is combined with mobile technologies. In the mobile health-monitoring system, along with the features of mobility, it is essential to consider the needs from different types of patient. By concerning the traditional risk factors, there is a positive correlation between psychological factors and metabolic syndrome as indicated in the research. In this research, it is hypothesized that the users of blood glucose monitoring mobile system tend to have different aspects for acceptance of healthcare technologies from the normal subject. In terms of previous literature, we analyzed several adoption areas such as new technology, psychological and personal and identified the key factors for user to accept the blood glucose monitoring mobile system. Through a survey process, 462 valid questionnaires were collected and processed via SPSS 20.0 to have description statistics and analysis of reliability and validity. Smart PLS 3.2 was used for examination of research model and verification of explanation power. From the results, the users who accept new technology, the performance expectancy, effort expectancy, social influence, facilitating conditions and habit have impact on users’ acceptance of blood glucose monitoring mobile system. From psychological aspect, users tend to be influenced by relative advantages, but not reference price and reference situation for blood glucose monitoring mobile system acceptance. From personal aspect, self-efficacy, trust, risk preference, health consciousness will affect the users to accept the system. Looking into the users’ behavior, facilitating conditions, habit and behavioral intentions have impact on the acceptance of the system from the users. According to the analysis results, the key factors are verified and explained in terms of influencing the users to accept the system. We hope the results will make contributions to the academic field and industrial companies.
    Appears in Collections:[資訊管理系研究所] 學位論文

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