臺灣博碩士論文加值系統

隨著資訊與網路科技的發展，讓大數據資料分析成為全球資訊服務的趨勢，由於資訊種類極多及繁雜，要如何快速地由大數據資料分析中，來尋找有價值的資訊，這樣企業在市場競爭上才能夠快速有效地找出關鍵點。在大數據平台用Apache Hadoop來分析大量資料，可以儲存很多各式各樣不同的資訊，進而替現代的企業帶來更多的好處。
本研究用資訊系統成功模式與科技接受模式，來探討大數據平台使用意願之影響因素。經過進行問卷施測，並用以SPSS 22分析本研究的理論架構與路徑因果關係。本研究發現的結果是，系統品質、服務品質對使用大數據平台的意願有其影響力，故在平台之設計上應注重其品質的維護，藉以提升平台的使用意願。

With the development of information and network technology, huge amounts of data have become the trend of global information services. Due to the variety and complexity of information, how to quickly analyze big data and find valuable information is important, thus enterprises can effectively find the key points in the market competition. Using Apache Hadoop to analyze large amounts of data on big data platforms, a wide variety of different information can be stored, and it can bring more benefits to modern enterprises.
This study uses the information system success model and technology acceptance model to explore the influencing factors of the willingness to use the big data platform. After the questionnaire was collected, SPSS 22 was used to analyze the theoretical structure and path causality of this research. The result finds that system quality and service quality have an influence on the user's willingness to use the big data platform. Therefore, the platform design should focus on quality maintenance, so as to enhance the intention to use the platform.

目錄
摘要 .......................................................................................................................... i
Abstract ....................................................................................................................ii
誌謝 .....................................................................................................................iii
目錄 .................................................................................................................... iv
表目錄 .....................................................................................................................vi
圖目錄 ...................................................................................................................viii
第一章 緒論.......................................................................................................... 1
1.1 研究背景................................................................................................... 1
1.2研究動機......................................................................................................1
1.3研究目的......................................................................................................1
1.4研究流程..................................................................................................... 2
第二章 文獻探討................................................................................................... 3
2.1 大數據.......................................................................................................... 3
2.2 R語言........................................................................................................... 4
2.3 MAPREDUCE.................................................................................................... 5
2.4 HDFS..............................................................................................................6
2.5 Virtual Box.................................................................................................8
2.6資訊系統成功模式...................................................................................... 8
2.7科技接受模式............................................................................................ 12
2.8大數據平台.................................................................................................13
第三章 研究方法....................................................................................................... 15
3.1 研究架構.................................................................................................15
3.2 研究假說.............................................................................................. 16
3.3項目分析...................................................................................................16
3.4信度分析...................................................................................................20
3.5研究分析方法...........................................................................................21
第四章 研究結果與分析............................................................................22
4.1 描述性統計分析.......................................................................................22
4.2不同背景分析…………………………………………….........................27
4.3 相關分析.........................................................................................33
4.4 路徑分析........................................................................................35
第五章 結論與建議...................................................................................40
5.1 研究結論.........................................................................................40
5.2 建議................................................................................................43
參考文獻......................................................................................................................44
附錄..............................................................................................................................49
Extended Abstract……………………………………………………………………54

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