海量資料時代下個人資料保護管理機制建構與實證-以半導體為例

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海量資料時代下個人資料保護管理機制建構與實證-以半導體為例

Establishment and Empirical Study of Personal Data Protection Management – A case of Semiconductor in Big Data Age

楊為德 , Masters　　Advisor：張碩毅　　

繁體中文

個人資料保護法；個人資料保護機制；海量資料； Personal Data protection ； Personal Management System ； Big data

Abstract │ Reference (104) │ Times Cited (1) │ Altmetrics

Abstract 〈TOP〉

Parallel Abstract 〈TOP〉

Enterprise can use Big data to make business successfully and competitively in recent years. However more data means more risk. If Enterprise leak personal data, It will cost a lot of cost.The leaked events of Korea Credit Bureau makes many of executives resign in 2014.

Personal information Protection Act was implemented formally in 2012. Regardless of organization size will be subject to the Personal Data Protection Act. The organization which protects data improperly might be sentenced to imprisonment for 5 years or $200 million fines. So Enterprise need a personal data protect mechanism to protect personal data, therefore fulfill the obligation of protecting personal data.

The study applies the Gowin’s Vee research strategy. In the conceptual side, the literature collecting and studying are based on the approach of Grounded Theory to sort out the management measures. And build up the personal protect mechanism classification framework which is generated from the 4 management domains of BS 10012.Then make sure the management measures discussed in this research are suitable .We apply the Delphi Expert Questionnaires to fix this mechanism and delete a management measure. In the methodological, through interviewing individual case to realize the impact to the implementation of the Personal Information Protection Act in the industry, and take further feasibility evaluation. This research shows that research outcome, the Personal Protection Management Mechanism, Provides organizations a reference and compliance purpose to help them obey the law, reduce the risk litigation, and fulfill the responsibilities of protect personal data.

Reference ( 104 ) 〈TOP〉

朱瑞陽. (2013). 電子發票雲個人資料保護之研究─以載具號碼為核心. 資訊安全通訊, 19(3), 43-64.
連結：
余俊賢. (2010). 因應個資法修正後電子商務業者之資料安全管理與稽核實務. 電腦稽核(22), 103-109.
連結：
李震山. (2004). “電腦處理個人資料保護法”之回顧與前瞻. [A Retrospect and Outlook on "Computer Processed Data Protection Act"]. 中正大學法學集刊(14), 35-82.
連結：
周逸濱. (2010). 日本行政機關個人資料保護法之介紹. 科技法律透析, 22(5), 19-43.
連結：
林宜隆, 周瑞國, 蔡名家, & 邱泓傑. (2011). 新版個人資料保護與資料外洩防護之探討. 電腦稽核(24), 102-116.
連結：

Times Cited (1) 〈TOP〉

詹承道(2015)。企業個人資料保護落實稽核機制之研究。中正大學會計與資訊科技學系學位論文。2015。1-251。

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