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    Please use this identifier to cite or link to this item: http://ccur.lib.ccu.edu.tw/handle/A095B0000Q/490

    Title: 就醫民眾對個人資料保護不同態度之影響因素;Factors Influencing Patient's Attitude towards Self Protection on Personal Data
    Authors: 洪惠婷;HUNG, HUI-TING
    Contributors: 資訊管理系醫療資訊管理研究所
    Keywords: 隱私計算理論;醫療資訊系統服務;個人資料保護;科技威脅迴避理論;Privacy Calculus Theory;Healthcare Information System Service;Self Protection on Personal Data;Technology Threat Avoidance Theory
    Date: 2017
    Issue Date: 2019-07-17
    Publisher: 資訊管理系醫療資訊管理研究所
    Abstract: 隨著資訊科技快速發展,越來越多產業領域重視資料累積、分析或預測的運用。相對也面對越來越多資料透明化、易取得,甚至濫用的情況發生。在面對提供資料得到便利的同時,又面臨著個人資料外洩的風險。本研究旨在探討就醫民眾在使用過資訊系統的掛號服務、手機應用程式以及健康存摺後,對於個人資料保護態度之影響因素。我們以隱私計算理論(Privacy Calculus Theory)為基礎,結合科技威脅迴避理論(Technology Threat Avoidance Theory)之相關變數,以歸納出使用者的影響因素。為避免網路問卷的母體偏差與不完整性,本研究採用實地在北中南三區醫院的實體發放調查的方式,共計回收448份,有效問卷為423份,有效樣本為94.4%。資料分析結果顯示,感知易用性、法律規範、隱私顧慮以及資料敏感性對個人資料保護有正向顯著影響;獎勵、感知有用性、威脅嚴重性以及威脅易感性則對個人資料保護無顯著影響。最後,本研究針對實務面與學術面提出具體建議與未來研究方向。
    With the rapid development of information and communication technologies (ICT), manyorganizationsengage in extensiveICT applicationsand therefore a vast amount of personal data is collected, processed and used. Consequently, the personal dataisfrequentlyabused. In the face of being convenient at the same time, it is also facing the risks of personal data abused.The aim of this study is to explore factors influencing patient's attitude towards self protection on personal data. Based on the privacy calculus theory and technology threat avoidance theory,a research model is developed and several factors influencing patient's attitude towards self protection on personal data are examined.Asurvey of several hospitals from northern, central and southern Taiwan is conducted. The results of 423 usable responses were collected and the usable response ratewas 94.4%. The analytical results indicated that perceived ease of use, legal assurance, privacy concerns and health information sensitivity positively affect patient's attitude towards self protection on personal data. Finally, this study concludes with useful recommendations for academics and practitioners.
    Appears in Collections:[資訊管理系醫療資訊管理研究所] 學位論文

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