臺灣博碩士論文加值系統

所謂物聯網（IoT）係指使用各種通訊技術在網絡空間實現萬物互聯，並實現智能家居和智能交通，從而產生了前所未有的大量數據。在金融共享中心，所有業務都可以透過這些龐大的數據庫中提取有效的數據來進行分析，並利用數據分析工具收集業務、財務、人力、流程、知識和社交數據。目前，各種類型的信息技術（IT）系統已被廣泛應用於金融共享中心。從而也產生了大量敏感數據。為了保護這些敏感數據，對IT系統營運和金融共享中心人員的個人信息有較高的要求。為了保護用戶數據隱私，最優和最有效地利用IT系統是隱私管理中必須考慮的重要問題。目前，有許多保護數據和隱私的算法，但效果不理想。
為了兼顧隱私問題，本文提出了一種基於物聯網公有隱私保護技術的K-means集群演算法用於分析金融共享中心的績效管理。研究結果顯示，在改進之前，對於金融共享中心的崗位培訓能力和信息平台建設能力表示不滿意的員工平均數分別為超過半數的57.9％和57.8％。在基於物聯網公有雲隱私保護技術的改進之後，對金融共享中心的崗位培訓能力和信息平台建設能力表示不滿意的員工的平均數分別降至5％和3.9％，遠低於改進之前。證明物聯網公有雲隱私保護對金融共享中心的績效管理有益，兩者之間具有正向關聯性。

The Internet of Things (IoT) refers to the use of various communication technologies to achieve the interconnection of everything in cyberspace, and to achieve smart home and intelligent transportation, thus generating unprecedented amounts of data. In the financial sharing center, all businesses can extract effective data from these massive databases for analysis, and use data analysis tools to collect business, financial, human, process, knowledge and social data. At present, various types of IT (Internet Technology) systems have been widely used in financial sharing centers. However, a large number of sensitive data have also been generated. In order to protect these sensitive data, there is a high requirement for the personal information of IT system operation and financial sharing center personnel. In order to protect user data privacy, the optimal and most effective use of IT systems is an important issue that must be considered in privacy management. At present, there are many algorithms to protect data and privacy, but the effect is not ideal. Considering the balance between privacy issues, this paper proposed a K-means clustering algorithm based on IoT public cloud privacy protection technology to analyze the performance management of financial sharing center. The research results showed that before the improvement, the average number of employees who were dissatisfied with the post training ability and information platform construction ability of the financial sharing center was 57.9 and 57.8% respectively, more than half of them. After the improvement of IoT based public cloud privacy protection, the average number of employees dissatisfied with the post training ability and information platform construction ability of the financial sharing center was 5 and 3.9%, far less than the data prior to the improvement. It showed that IoT public cloud privacy protection was conducive to the performance management of the financial sharing center, and the relationship between the two was positive.

中文摘要 iii
英文摘要 iv
誌謝 vi
目錄 vii
表目錄 viii
圖目錄 ix
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 3
第三節 研究目的 6
第二章 文獻探討 9
第一節 金融共享服務中心相關研究 9
第二節 物聯網公有雲隱私保護相關研究 19
第三章 研究方法 23
第一節 個案研究法 23
第二節 物聯網公有雲隱私保護下之績效評估模型 23
第三節 研究流程 25
第四節 金融共享服務中心績效模型之建立 29
第四章 研究結果 33
第一節 金融共享中心發展現況與趨勢 33
第二節 個案公司金融共享中心之實踐 36
第三節 個案公司問卷分析結果 37
第五章 結論 44
第一節 本文結論 44
第二節 績效管理策略之應用 46
參考文獻 48

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