虛擬桌面係將傳統PC分散式的計算模式，透過網際網路連線方式，基於虛擬化架構的雲端運算創新科技健全發展環境之下，企業採用虛擬桌面技術來部署個人作業電腦使用的桌面，除了提供企業簡化管理龐大的個人電腦桌面數量、提升資訊設備安全性之外，充分利用硬體運算資源效率、減少重複成本投入等等相對效益與優勢，讓企業紛紛投入評估與採用。本研究旨在探討金融企業資訊主管在選擇採用虛擬桌面取代傳統個人電腦的關鍵決策，本研究以先蒐集相關文獻資料，彙整相關因素後，制定修正式德菲法問卷，執行專家問卷調查篩選出專家一致性的關鍵因素後，再以AHP分析因素權重，得到影因素的總體權重與各別因素權重值。
本研究分析結果顯示：TOE架構分析下，(1)組織構面的高階主管支持的因素是影響金融業採用虛擬桌面的重要因素；(2)符合法規的要求因素在普遍專家認為較不顯著，如能加強必能達到創新科技技術應用的效果。
期望透過本研究的結論能提供給金融業在未來採用虛擬桌面的採用決策上有評估依據。促使金融業在導入虛擬桌面時能夠掌握影響因素，使專案順利推動。

Virtual Desktop is a traditional PC decentralized computing model, through the Internet connection, based on the cloud computing innovation technology based on the virtualization architecture and a sound development environment, enterprises use Virtual Desktop technology to deploy desktops for personal operation computers, in addition to In addition to providing enterprises with simplified management of the huge number of personal computer desktops, improving the security of information equipment, taking full advantage of the relative benefits and advantages of hardware computing resource efficiency, reducing repeated cost investment, etc., companies have invested in evaluation and adoption. This study aims to discuss the key decision-making of financial enterprise information directors when choosing to use virtual desktops to replace traditional personal computers. In this study, firstly collect relevant literature and materials, and then aggregate relevant factors, formulate a Delphi Method questionnaire, and perform expert questionnaires to select After performing the expert questionnaire to select the key factors of expert consistency, the weights of the factors are analyzed by AHP to obtain the overall weight of the shadow factor and the weight of each factor.
The analysis results of this study show that under the analysis of the TOE architecture, (1) the factors supported by high-level executives of the organizational facet are important factors that affect the adoption of virtual desktops in the financial industry. (2) Factors that meet the requirements of laws and regulations are generally considered to be less significant by experts. If it can be strengthened, it can achieve the effect of innovative technology application.
It is hoped that the conclusions of this study can provide the financial industry with an evaluation basis for the decision to adopt virtual desktops in the future. To encourage the financial industry to grasp the influencing factors when importing virtual desktops, so that the project can be promoted smoothly.

第 一 章 緒論	1
第一節	研究背景與動機	1
第二節	研究目的	2
第三節	論文結構	3
第 二 章 文獻探討	4
第一節	雲端運算定義	4
第二節	虛擬桌面基礎架構	6
第三節	科技-組織-環境(TOE 架構)	8
第 三 章 研究方法與設計	14
第一節	研究步驟	14
第二節	研究對象	16
第三節	問卷設計	17
第 四 章 研究資料分析	19
第一節	修正式德菲法評選重要因素	19
第二節	AHP計算重要因素及整體權重	31
第三節	分析結果	33
第四節	分析結果回饋訪談	36
第 五 章 研究討論	38
第一節	科技構面	38
第二節	組織構面	39
第三節	環境構面	40
第 六 章 結論與建議	41
第一節	結論	41
第二節	管理意涵	43
第三節	研究建議	44
參考文獻	45
附錄：研究問卷	52

表目錄
表 2 1 資訊科技採用影響之因素	11
表 3 1 參與修正式德菲法及AHP問卷調查的專家	17
表 3 2  AHP 九等評比尺度定義及說明	18
表 4 1 修正式德菲法第一回合科技構面問卷	21
表 4 2 修正式德菲法第一回合組織構面問卷	22
表 4 3 修正式德菲法第一回合環境構面問卷	24
表 4 4 修正式德菲法第二回合科技構面問卷	26
表 4 5 修正式德菲法第二回合組織構面問卷	27
表 4 6 修正式德菲法第二回合組織構面問卷	28
表 4 7 修正式德菲法第三回合調查結果	30
表 4 8 影響因素AHP相對權重分析	33
表 4 9 分析結果回饋訪談表	37

圖目錄
圖 2 1 雲端運算定義圖	5
圖 2 2 虛擬桌面架構圖	7
圖 2 3 Tornatzky & Fleischer 理論架構圖	9
圖 3 1 研究步驟流程圖	16
圖 4 1 第一部分修正式德菲法研究流程圖	20
圖 4 2 影響金融業採用虛擬桌面因素之層級架構	31
圖 4 3 矩陣資料一致性畫面	32
圖 4 4 科技構面影響因素分析圖	34
圖 4 5 組織構面影響因素分析圖	35
圖 4 6 環境構面影響因素分析圖	35
圖 4 7 金融業採用虛擬桌面之關鍵因素構面分析圖	35
圖 4 8 金融業採用虛擬桌面之關鍵因素 總體權重分析圖	36

中文文獻
1.	吳政叡，(2008)。ISO 27001 [資訊安全管理系統要求] 在圖書館的應用。臺灣圖書館管理季刊，第四卷第二期，p89-p99，民國九十七年四月。
2.	李峻慶，(2019)。智慧資安預警系統之研究。明新科技大學電機工程系碩士班論文。
3.	林秀芬、趙時樑、王誠煦，(2011)。即時通訊軟體使用意願影響因素之研究-以海運承攬業為例。Electronic Commerce Studies, 9(1), 35-60。
4.	林佳慧，(2012)。企業採用桌面虛擬化因素之研究。國立高雄應用科技大學企業管理系碩士在職專班學位論文。
5.	林東成，(2014)。虛擬桌面導入教育雲個案之影響因素研究。宜蘭大學多媒體網路通訊數位學習碩士在職專班學位論文。
6.	金家任，(2018)。採用私有雲架構即時通訊系統關鍵因素之個案研究。淡江大學資訊管理學系碩士在職專班學位論文。
7.	陳瀅，《雲端策略：雲端運算與虛擬化技術》，初版，台灣：天下雜誌出版，ISBN: 9789862411261，2010。
8.	童昱傑，(2013)。影響企業將雲端運算技術導入商業模式之關鍵因素探討。逢甲大學科技管理研究所碩士論文。
9.	黃正欣，(2010)。探討影響企業導入B2B交易平台因素之研究。國立高雄第一科技大學行銷與流通管理所碩士論文。
10.	黃建豪，(2011)。影響 IaaS 之採用因素–以[政府雲]為例。臺灣大學資訊管理學研究所碩士論文。
11.	趙子仲，(2004)。跨組織資訊系統採用及擴展因素之研究。國立中央大學資訊管理研究所碩士論文。
12.	劉永禮，(2002)。以BS7799資訊安全管理規範建構組織資訊安全風險管理模式之研究。元智大學工業工程與管理學系碩士論文。
13.	鄭秉鈞，(2015)。探討影響企業採用私有雲端運算因素之研究。淡江大學資訊管理學系碩士在職專班碩士論文。
14.	鐘嘉德、高天助、楊嘉栩，(2010)。雲端運算與產業發展。研考雙月刊，34(4)，第20-31頁。

英文文獻
1.	Arora, R., Parashar, A., & Transforming, C. C. I. (2013). Secure user data in cloud computing using encryption algorithms. International journal of engineering research and applications, 3(4), 1922-1926.
2.	Bolosky, W. J., Douceur, J. R., Ely, D., & Theimer, M. (2000). Feasibility of a serverless distributed file system deployed on an existing set of desktop PCs. ACM SIGMETRICS Performance Evaluation Review, 28(1), 34-43.
3.	Chang, I. C., Hwang, H.G., Hung, M. C., Lin, M.H., & Yen, D. C. (2007). Factors affecting the adoption of electronic signature: Executives' perspective of hospital information department. Decision support systems, 44(1), 350-359.
4.	Chatterjee, D., Grewal, R., & Sambamurthy, V. (2002). Shaping up for e-commerce: institutional enablers of the organizational assimilation of web technologies. MIS quarterly, 26(2), 65-89.
5.	Chau, P. Y., & Tam, K. Y. (1997). Factors affecting the adoption of open systems: an exploratory study. MIS quarterly, 21(1), 1-24.
6.	Cochran, S. W. (1983). The Delphi method: Formulating and refining group judgements. Journal of Human Sciences, 2(2), 111-117.
7.	Collins, P. D., Hage, J., & Hull, F. M. (1988). Organizational and technological predictors of change in automaticity. Academy of Management Journal, 31(3), 512-543.
8.	Dasilva, D. A., Liu, L., Bessis, N., & Zhan, Y. (2012). Enabling green it through building a virtual desktop infrastructure. Paper presented at the 2012 Eighth International Conference on Semantics, Knowledge and Grids.
9.	Grandon, E. E., & Pearson, J. M. (2004). Electronic commerce adoption: an empirical study of small and medium US businesses. Information & management, 42(1), 197-216.
10.	Green, B., Jones, M., Hughes, D., & Williams, A. (1999). Applying the Delphi technique in a study of GPs’ information requirements. Health & social care in the community, 7(3), 198-205.
11.	Harrison, D. A., Mykytyn Jr, P. P., & Riemenschneider, C. K. (1997). Executive decisions about adoption of information technology in small business: Theory and empirical tests. Information systems research, 8(2), 171-195.
12.	Hwang, B. N., Huang, C. Y., & Yang, C.L. (2016). Determinants and their causal relationships affecting the adoption of cloud computing in science and technology institutions. Innovation, 18(2), 164-190.
13.	Jansen, W. A., & Grance, T. (2011). Guidelines on security and privacy in public cloud computing.
14.	Jeong, D., Park, J., Lee, S., & Kang, C. (2015). Investigation methodology of a virtual desktop infrastructure for IoT. Journal of Applied Mathematics, 2015.
15.	Kirton, M. (1976). Adaptors and innovators: A description and measure. Journal of applied psychology, 61(5), 622.
16.	Lee, S. G., Hwang, S. W., Kang, J. Y., & Yoon, S. (2014). Factors Influencing the Adoption of Enterprise Cloud Computing. Journal of Internet Technology, 15(1), 65-75.
17.	Lin, H. F., & Lin, S. M. (2008). Determinants of e-business diffusion: A test of the technology diffusion perspective. Technovation, 28(3), 135-145.
18.	Lombardi, F., & Di Pietro, R. (2011). Secure virtualization for cloud computing. Journal of network and computer applications, 34(4), 1113-1122.
19.	Marketsandmarkets. (2020). Desktop Virtualization Market. https://www.marketsandmarkets.com/Market-Reports/desktop-virtualization-market-137215705.html
20.	Mell, P., & Grance, T. (2011). The NIST definition of cloud computing.
21.	Morgan, L., & Conboy, K. (2013). Factors affecting the adoption of cloud computing: an exploratory study.
22.	Oliveira, T., & Martins, M. F. (2010). Firms patterns of e-business adoption: evidence for the European Union-27. Electronic Journal of Information Systems Evaluation, 13(1), 47.
23.	Orlikowski, W. J. (2000). Using technology and constituting structures: A practice lens for studying technology in organizations. Organization science, 11(4), 404-428.
24.	Parenté, F. J., & Anderson-Parente, J. K. (1987). Delphi inquiry systems. Judgmental forecasting, 129-156.
25.	Premkumar, G., Ramamurthy, K., & Crum, M. (1997). Determinants of EDI adoption in the transportation industry. European Journal of Information Systems, 6(2), 107-121.
26.	Saaty, T. L. (1990). How to make a decision: the analytic hierarchy process. European journal of operational research, 48(1), 9-26.
27.	Sila, I. (2013). Factors affecting the adoption of B2B e-commerce technologies. Electronic commerce research, 13(2), 199-236.
28.	Tehrani, S. R., & Shirazi, F. (2014). Factors influencing the adoption of cloud computing by small and medium size enterprises (SMEs). Paper presented at the International Conference on Human Interface and the Management of Information.
29.	Teo, T. S., Ranganathan, C., & Dhaliwal, J.(2006). Key dimensions of inhibitors for the deployment of web-based business-to-business electronic commerce. IEEE Transactions on engineering Management, 53(3), 395-411.
30.	Todd, R. F., & Reece, C. C. (1989). Desirable Skills and Knowledge Outcomes for an Introductory Educational Research Course: A Delphi Study.
31.	Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. (1990). Processes of technological innovation: Lexington books.
32.	Valdebenito, J., & Quelopana, A. (2019). Conceptual Model for Software as a Service (SaaS) Enterprise Resource Planning (ERP) Systems Adoption in Small and Medium Sized Enterprises (SMEs) Using the Technology-Organization-Environment (TOE) Framework. Paper presented at the International Conference on Information Technology & Systems.
33.	VMWare. (2020). VMware Horizon 7. https://www.vmware.com/tw/products/horizon.html
34.	Weill, P., & Olson, M. H. (1989). Managing investment in information technology: mini case examples and implications. MIS quarterly,  13(1), 3-17.
35.	Zhu, K., Dong, S., Xu, S. X., & Kraemer, K. L. (2006). Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies. European journal of information systems, 15(6), 601-616.
36.	Zhu, K., Kraemer, K., & Xu, S. (2003). Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors. European journal of information systems, 12(4), 251-268.