雲端運算因為網路的快速普及和頻寬的成長，加上行動網路應用的蓬勃發展，促成雲端服務成為熱門話題，也將成為未來資訊應用的主要發展趨勢。本研究以一般有使用雲端儲存空間服務經驗的網路使用者為對象，主要目的在了解影響使用者使用雲端儲存空間服務的使用意願為何。以使用者內在評估的相對優勢(轉換成本、轉換利益、知覺價值)、任務科技配適理論、雲端服務安全性探討使用者對於雲端儲存空間之使用意願，並要討論彼此之間的關係。
本研究針對209位有使用雲端儲存空間服務經驗的網路使用者進行問卷調查，並利用結構方程模式(Structural Equation Modeling，SEM)進行模型估計；研究結果顯示，使用者的使用意願受其認知價值的影響，而價值來自於成本與利益的整體評估；使用者的任務活動配合使用雲端儲存空間服務，搭配程度越高時，使用意願也越高；安全問題會影響使用者的使用意願；而研究結果也發現，成本因素不會直接明顯地影響使用者的使用意願。本研究結果提供具體的建議，希望用以建立更完善的雲端儲存空間服務。

Due to the rapid spread of the network and the improved bandwidth, the cloud computing together with mobile network applications, has contributed to make cloud services become a hot topic and a major trend of the future IT applications. The objective of this study is to investigate the Internet user’s willingness to use cloud storage service. This study focuses on three main areas: the benefits to users (switch costs, switch benefits, and perceived value), task-technology fit theory, and the security of cloud services in order to understand what motivates users to select cloud storage services and the relationship between those constructs.
The data collected for this study are 209 internet users with experience of cloud storage services and structural equation modeling is the statistical method used to test the proposed theoretical model. Research results show that users’ selection of cloud computing services is determined by their perception of value, which is based on an evaluation of the relative costs and benefits. The study also shows that the user’s task has a fit with the use of cloud storage services, the higher the fit, the higher the intention to use the cloud storage services. This research also shows that the security issues affect the decision to use this type of services. However, the cost factor does not significantly impact users’ willingness to employ cloud storage services. This study concludes with specific recommendations for building a more comprehensive set of cloud storage services.

目次 IV
表目錄 VI
圖目錄 VIII
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 研究意義 3
第四節 研究流程 4
第五節 論文架構 6
第二章 文獻探討 7
第一節 雲端運算與雲端儲存 7
第二節 相對優勢 10
第三節 任務科技配適理論 15
第四節 雲端服務安全性探討 17
第三章 研究方法 19
第一節 研究架構 19
第二節 研究假說 20
第三節 變項衡量與操作性定義 23
第四節 問卷設計與資料蒐集 25
第五節 分析方法 32
第四章 研究分析與結果 35
第一節 敘述性統計分析 35
第二節 信度分析 40
第三節 一階驗證性因素分析 41
第四節 結構方程模型分析 44
第五章 結論與建議 55
第一節 結論 55
第二節 管理意涵 58
第三節 研究限制 59
第四節 未來研究建議 60
參考文獻 61
附錄一：問卷 67

表3-1 問卷設計-轉換成本 27
表3-2 問卷設計-轉換利益 27
表3-3 問卷設計-知覺價值 28
表3-4 問卷設計-任務特性 28
表3-5 問卷設計-科技特性 29
表3-6 問卷設計-任務科技配適 30
表3-7 問卷設計-安全性 30
表3-8 問卷設計-使用意願 31
表3-9 各潛在變項之代號 34
表4-1 樣本基本資料 36
表4-2 使用的雲端儲存空間服務統計 37
表4-3 雲端儲存空間服務平均每月花費及擁有容量 38
表4-4 使用雲端儲存空間服務所使用的電腦設備或裝置 39
表4-5 使用的經驗及平均每天使用次數 39
表4-6 使用雲端儲存空間服務的目的及用途 40
表4-7 各潛在變項之信度分析表 41
表4-8 各構面之組合信度及平均萃取變異量分析表 42
表4-9 各構面√AVE值及各構面間相關係數 43
表4-10 測量模型配適度指標檢核表 47
表4-11 轉換成本變數參數估計表 48
表4-12 轉換利益變數參數估計表 48
表4-13 知覺價值變數參數估計表 49
表4-14 任務特性變數參數估計表 49
表4-15 科技特性變數參數估計表 50
表4-16 任務科技配適變數參數估計表 50
表4-17 安全性變數參數估計表 51
表4-18 使用意願變數參數估計表 51
表4-19 路徑關係檢定表 54

圖1-1 研究流程 5
圖2-1 任務科技配適理論 15
圖3-1 本研究架構 19
圖4-1 整體模型配適圖 53

中文部份
[1] 中央社電子報 ，<雲端服務逐漸盛行，但近9成用戶關切安全>，網址：http://blog.cnyes.com/My/money2you/article235541，上網日期：2011年1月2日。
[2] 王馨葦，《探討消費者拒絕使用行動加值服務之研究:結合任務科技配適模式與社會認知理論》，博士論文，國立成功大學企業管理研究所，2011。
[3] 李育華，《探討影響消費者採用數位閱讀服務關鍵因素之研究》，碩士論文，華梵大學資訊管理學研究所，2007。
[4] 吳嘉修 ，《行動付款之使用意願：以任務-科技配適度與延伸科技接受模型之觀點》，碩士論文，國立成功大學企業管理研究所，2009。
[5] 林進興，《自由軟體使用意願之研究》，碩士論文，東吳大學資訊科學研究所，2006。
[6] 拓墣產業研究所，《2012全球科技產業動態大預測》，台北市：拓墣科技出版，2012。
[7] 徐聖訓、王瑜哲、許桂菊，〈線上顧客滿意度模型之建構：以PChome線上購物為例〉，管理與教育研究學報，第6卷期，頁51-71，2006年12月。
[8] 張偉豪 ，《SEM論文寫作不求人》，台北市：鼎茂圖書出版股份有限公司出版，2011。
[9] 雲端運算智庫，<揭開雲端儲存的面貌>，網址：http://www.runpc.com.tw/content/cloud_content.aspx?id=105324，上網日期：2012年3月12日。
[10] 葉龍海，《以期望符合與任務科技配適探討某公部門人員持續使用內部資訊系統之意圖》，碩士論文，靜宜大學碩士在職專班，2009。
[11] 資策會FIND，<雲端運算儲存服務具發展潛力，台灣民眾具高度使用意願>，網址：http://www.find.org.tw/find/home.aspx?page=many&id=269#註，上網日期：2012年3月15日。
[12] 廖俊威，《雲端運算中資料安全之研究》，博士論文，逢甲大學資訊工程研究所，2012。
[13] 薛義誠、陳志偉，〈以軟體即服務(SaaS)探討企業創新資訊服務之採用〉，中華管理學報，第10卷，第4期，頁1-16，2009年12月。

英文部份
[14] Anderson, J. C., and Gerbing, D. W. " Structural Equation Modeling in Practice: A Review and Recommended Two Step Approach," Psychological Bulletin (103:3), 1988, pp. 411-423.
[15] Arche, J., Boehme, A., Cullinane, D., Kurtz, P., Puhlmann, N., and Reavis, J. "Security Guidance for Critical Areas of Focus in Cloud Computing," Cloud Security Alliance (CSA), Vol 2.1, 2009.
[16] Bolton, R. N., and Drew, J. H. "A multistage model of customers’ assessments of service quality and value," Journal of Consumer Research (17:4), 1991, pp. 375-84.
[17] Bowers, K., Juels, A., and Oprea, A. "HAIL: A High-Availability and Integrity Layer for Cloud Storage," 16th ACM Conference on Computer and Communications Security, Chicago, USA, 2009, pp. 187-198.
[18] Burnham, T. A., Frels, J. K., and Mahajan, V. "Consumer Switching Costs: A Typology, Antecedents, and Consequences," Journal of the Academy of Marketing Science (31:2), 2003, pp. 109-126.
[19] Buyya, R., Yeo, C. S., and Venugopal, S. "Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities," IEEE International Conference, The University Of Melbourne, Australia, 2008, pp. 5-13.
[20] Chen, C. F., and Chang, Y. Y. "Airline Brand Equity, Brand Preference and Purchase Intentions - The Moderating Effects of Switching Costs," Journal of Air Transport Management (14:1), 2008, pp. 40-42.
[21] Chen, Z., and Dubinsky, A. J. "A conceptual model of perceived customer value in e-commerce: a preliminary investigation," Psychology and Marketing (23:4), 2003, pp. 323-347.
[22] DeVellis, R. F. Scale Development: Theory and Applications, Sage, CA, 1998.
[23] Dishaw, M. T., and Strong, D. M. "Extending the technology acceptance model with task-technology fit constructs," Information and Management, (36:1), 1999, pp. 9-21.
[24] Dodds, W. B., and Monroe, K. B. "The effect of brand and price information on subjective product evaluation," Advances in Consumer Research (12:1), 1985, pp. 85-90.
[25] Doll, W. J., Xia, W., and Torkzadeh, G. "A confirmatory factor analysis of the end-user computing satisfaction instrument," Mis Quarterly (18:4), 1994, pp. 453-461.
[26] Fornell, C., and Larcker, D. F. "Evaluating structural equation models with unobservable variables and measurement error," Journal of Marketing Research (18:1), 1981, pp. 39-50.
[27] Gebauer, J., Tang, Y., and Baimai, C. "User Requirements Of Mobile Technology: A Summary Of Research Results," Information, Knowledge, Systems Management (7:1-2), 2008, pp. 101-119. 
[28] Goodhue, D. L., and Thompson, R. L. "Task-technology fit and individual performance," MIS Quarterly (19:2), 1995, pp. 213-236.
[29] Hair, J. F. J., Anderson, R. E., Tatham, R. L., and Black, W. C. Multivariate Data Analysis with Readings, Prentice Hall, Englewood Cliffs, NJ, 1998.
[30] Heide, J. B., and Weiss, A. M. "Vendor Consideration and Switching Behavior of Buyers in High-Technology Markets," Journal of Marketing (59:3), 1995, pp. 30-43.
[31] Igbaria, M., and Tan, M. "The consequence of information technology acceptance subsequent individual performance," Information and Management (32:3), 1997, pp. 113-121.
[32] Jackson, B. B. "Build customer relationships that last," Harvard Business Review (63:6), 1985, pp. 120-128.
[33] Jones, M. A., Mothersbaugh, D. L., and Beatty, S. E. "Switching Barriers and Repurchase Intentions in Services," Journal of Retailing (76:2), 2000, pp. 259-274.
[34] Kang , J., and Sim, K. M. "Cloudle: A Multi-criteria Cloud Service Search Engine," IEEE Asia-Pacific Services Computing Conference, Hang Zhou, China, 2010, pp. 339-346.
[35] Kim, H. W., and Kankanhalli, A. "A Investigating user resistance to information systems implementation: A status quo bias perspective," MIS Quarterly (33:3), 2009, pp. 567-582.
[36] Kim, M. K., Park, M. C., and Jeong, D. H. "The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services," Journal of Business Research (28:2), 2004, pp. 145-159.
[37] Lovelock, C., and Wirtz, J. Service marketing: People, technology, strategy, Pearson Prentice Hall, NJ, 2007.
[38] Mell, P., and Grace, T. "The NIST Definition of Cloud Computing," National Institute of Standards and Technology (NIST), NIST Publication No. 800-145, 2011.
[39] Moore, G. C., and Benbasat, I. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research (2:3), 1991, pp. 173-191.
[40] Ping, R. A. "The effects of satisfaction and structural constraints on retailer exiting, voice, loyalty, opportunism, and neglect," Journal of Retailing (69:3), 1993, pp. 320-352.
[41] Porter, M. E. Competitive Stratege: Techniques for Analyzing Industries and Competitors, The Free Pass, New York, 1980.
[42] Samuelson, W., and Zeckhauser, R. "Status quo bias in decision making," Journal of Risk and Uncertainty (1:1), 1988, pp. 7-59.
[43] Sheth, J. N., Newman, B. I., and Gross, B. L. "Why we buy what we buy: A theory of consumption values," Journal of Business Research (22:2), 1991, pp. 159-170.
[44] Sirdeshmukh, D., Singh, J., and Sabol, B. "Consumer Trust, Value and Loyalty in Relational Exchange," Journal of Marketing (66:1), 2002, pp. 15-37.
[45] Torkzadeh, G., Koufteros, X., and Pflughoeft, K. "Confirmatory Analysis of Computer Self-Efficacy," Structural Equation Modeling: A Multidisciplinary Journal (10:2), 2003, pp. 263-275.
[46] Urban, G. L., Sultan, F., and Qualls, W. J. "Placing Trust at the Center of Your Internet Strategy," Sloan Management (42:1), 2000, pp. 39-48.
[47] Vouk, M. A. "Cloud Computing-Issues, Research and Implementations," Journal of Computing and Information Technology (16:4), 2008, pp. 235-246. 
[48] Young, S., and Feigin, B. "Using the benefit chain for improved strategy formulation," Journal of Marketing (39:3), 1975, pp. 72-74.
[49] Zeithaml, V. A. "Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence," Journal of Marketing (52:3), 1988, pp. 2-22.