請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/65796完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 翁崇雄(Chorng-Shyong Ong) | |
| dc.contributor.author | Li-Ting Tseng | en |
| dc.contributor.author | 曾莉婷 | zh_TW |
| dc.date.accessioned | 2021-06-17T00:12:15Z | - |
| dc.date.available | 2012-07-20 | |
| dc.date.copyright | 2012-07-20 | |
| dc.date.issued | 2012 | |
| dc.date.submitted | 2012-07-11 | |
| dc.identifier.citation | 中文部分
[1]田裕斌，MIC：台灣中小企業35%用雲端運算，http://mag.udn.com/mag/digital/storypage.jsp?f_ART_ID=223280，聯合新聞網，2009/11/24。 [2]陳立群，台灣雲端應用及產業個案介紹，資策會，2011/11/21。 [3]榮泰生，AMOS與研究方法，五南圖書出版股份有限公司，2007。 [4]資策會產業情報研究所，2014年台灣雲端運算市場規模達412億，http://mic.iii.org.tw/aisp/pressroom/press01_pop.asp?sno=275&type1=2，2011/8/25。 英文部分 [1]Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I. and Zaharia, M. (2009). Above the Clouds: A Berkeley View of Cloud Computing. Technical Report. University of California at Berkeley. [2]Bagozzi, R. P. and Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16(1), 74-94. [3]Behrend, T. S., Wiebe, E. N., London, J. E. and Johnson, E. C. (2011). Cloud Computing Adoption and Usage in Community Colleges. Behavior & Information Technology, 30(2), 231-240. [4]Bhardwaj, S., Jain, L. and Jain, S. (2010). Cloud Computing: A Study of Infrastructure as a Service (IAAS). International Journal of Engineering and Information Technology, 2(1), 60-63. [5]Brancheau, J. C. and Wetherbe, J. C. (1990). The Adoption of Spreadsheet Software: Testing Innovation Diffusion Theory in the Context of End-User Computing. Information Systems Research, 1(2), 115-143. [6]Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J. and Brandic, I. (2009). Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility. Future Generation Computer Systems, 25(6), 599-616. [7]Chen, Lei-da., Gillenson, M. L. and Sherrell, D.L. (2002). Enticing Online Consumers: an Extended Technology Acceptance Perspective. Information & Management, 39(8), 705-719. [8]Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. [9]Davis, F. D., Bagozzi, R.P. and Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003. [10]Dignan, L. (2011). Cloud Computing Market: $241 Billion in 2020. ZDNet. http://www.zdnet.com/blog/btl/cloud-computing-market-241-billion-in-2020/47702 [11]Etezadi-Amoli, J. and Farhoomand, A. F. (1996). A Structural Model of End User Computing Satisfaction and User Performance. Information & Management, 30(2), 65-73. [12]Fishbein, M. and Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley. [13]Fornell, C. and Larcker, D. F. (1981). Evaluation Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. [14]Furht, B. (2010). Cloud Computing Fundamentals. In Furht, B. and Escalante, A. (eds.), Handbook of Cloud Computing. [15]Hooper, D., Coughlan, J. and Mullen, M. (2008). Structural Equation Modelling: Guildlines for Determining Model Fit. Electronic Journal of Business Research Methods, 6(1), 53-60. [16]Karahanna, E., Straub, D. W. and Chervany, N. L. (1999). Information Technology Adoption Across Times: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs. MIS Quarterly, 23(2), 183-213. [17]Khajeh-Hosseini, A., Sommerville, I. and Sriram, I. (2010). Research Challenges for Enterprise Cloud Computing. http://arxiv.org/abs/1001.3257 [18]Lee, Y., Lee, J. and Lee, Z. (2006). Social Influence on Technology Acceptance Behavior: Self-Identity Theory Perspective. Advances in Information Systems, 37(2 & 3), 60-75. [19]Lee, Y. and Kozar, K. A. (2008). An Empirical Investigation of Anti-Spyware Software Adoption: A Multitheoretical Perspective. Information & Management, 45(2), 109-119. [20]Legris, P., Ingham, J. and Collerette, P. (2003). Why do People Use Information Technology? A Critical Review of the Technology Acceptance Model. Information & Management, 40(3), 191-204. [21]Lu, J., Yu, Chun-Sheng., Liu, C. and Yao, J. E. (2003). Technology Acceptance Model for Wireless Internet. Internet Research: Electronic Networking Applications and Policy, 13(3), 206-222. [22]Mahmood, Z. (2011). Cloud Computing for Enterprise Architectures: Concepts, Principles and Approaches. In Mahmood, Z. and Hill, R. (eds.), Cloud Computing for Enterprise Architectures. [23]Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J. and Ghalsasi, A. (2011). Cloud Computing-The Business Perspective. Decision Support Systems. 51(1), 176-189. [24]Mell, P. and Grance, T. (2011). The NIST Definition of Cloud Computing (Draft). National Institute of Standards and Technology. [25]Moore, G. C. and Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2(3), 192-222. [26]Nunnally, J. C. (1987). Psychometric Theory. New York: McGraw-Hill. [27]Parasuraman, A., Zeithaml, V. A., and Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4), 41-50. [28]Rogers, E. M. (2003). Diffusion of Innovations. Fifth Edition. The Free Press, New York. [29]Segars, A. H. and Grover, V. (1993). Re-Examining Perceived Ease of Use and Usefulness: A Confirmatory Factor Analysis. MIS Quarterly, 17(4), 517-525. [30]Stanoevska-Slabeva, K. and Wozniak, T. (2010). Cloud Basics-An Introduction to Cloud Computing. In Stanoevska-Slabeva et al. (eds.), Grid and Cloud Computing: A Business Perspective. [31]Staten, J. (2008). Is Cloud Computing Ready for the Enterprise？. Forrester Research. [32]Sultan, N. (2010). Cloud Computing for Education: A New Dawn? International Journal of Information Management, 30(2), 109-116. [33]Taylor, S. and Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144-176. [34]Tornatzky, L. G. and Klein, K. J. (1982). Innovation Characteristics and Innovation Adoption-Implementation: A Meta-Analysis of Findings. IEEE Transactions on Engineering Management, 29(1), 28-43. [35]Truong, D. (2010). How Cloud Computing Enhances Competitive Advantages: A Research Model for Small Businesses. The Business Review, Cambridge, 15(1), 59-65. [36]Vaquero, L. M., Rodero-Merino, L., Caceres, J. and Lindner M. (2009). A Break in the Clouds: Towards a Cloud Definition. ACM SIGCOMM Computer Communication Review, 39(1), 50-55. [37]Venkatesh, V. and Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204. [38]Venkatesh, V., Morris, M. G. (2000). Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior. MIS Quarterly, 24(1), 115-139. [39]Venkatesh, V., Morris, M. G., Davis, G. B. and Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478. [40]Venkatesh, V. and Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273-315. [41]Voas, J. and Zhang, J. (2009). Cloud Computing: New Wine or Just a New Bottle? IEEE ITPro, 11(2), 15-17. [42]Vouk, M. A. (2008). Cloud Computing-Issues, Research and Implementations. Journal of Computing and Information Technology, 16(4), 245-246. [43]Yi, M. Y., Jackson, J. D., Park, J. S. and Probst, J. C. (2006). Understanding Information Technology Acceptance by Individual Professionals: Toward an Integrative View. Information & Management, 43(3), 350-363. [44]Yoon, C. and Kim, S. (2007). Convenience and TAM in a Ubiquitous Computing Environment: The Case of Wireless LAN. Electronic Commerce Research and Applications, 6(1), 102-112. [45]Zhang, Q., Cheng, L. and Boutaba, R. (2010). Cloud Computing: State-of-the-Art and Research Challenges. Journal of Internet Services and Applications, 1(1), 7-18. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/65796 | - |
| dc.description.abstract | 近年來，運算產業因為突起的雲端運算而產生劇烈的變革，除了資訊技術廠商皆積極尋求突破以外，許多IT顧問公司也持續關注著雲端運算應用的發展方向，尤其是這項運算產業的新風潮背後所隱藏的商機相當龐大，使得所有公司企業都期盼在這次的運算改革中，提升本身的競爭能力，獲得更多商業機會，開拓市場，而也因為雲端運算的重要性不容忽視，雲端技術的引進也可能會是未來企業重要的轉變，因此企業除了拓展商機，也要試圖讓企業內部接受新技術，使得新技術能確實發揮其功效與好處，因此為了能讓雲端運算的應用發揮效能，首先應突破的就是雲端運算使用者接受度問題。
過去已有相當多的研究在探討使用者科技接受議題，技術採用相關之理論更是逐漸完善，由於雲端運算含括許多獨特的運算特性，因而被視作一項新的IT技術，因此本研究進行雲端運算使用者接受度之探討，希望能了解影響雲端科技採用決策的因素，於是本研究使用科技接受模型為基礎，並加入創新擴散理論的重要因素，提出一個整合性的雲端運算使用者接受度模型，最後藉由實證研究證實此模型確實相當適宜且可用的。 | zh_TW |
| dc.description.abstract | In recent years, due to the intense revolutions in the computing industry from surging development of cloud computing, not only information technology firms have tried hard to make a breakthrough, but also many IT consultant companies have kept focus on the development of cloud computing applications. Particularly, there will be massive business opportunities from this new trend in the computing industry. This fact makes every enterprise try to improve their competing capabilities during this revolution to gain more business opportunities and expand their markets. Since the importance of cloud computing cannot be ignored, the adoption of cloud technology in enterprise would be an important change. Therefore, in addition to expanding business opportunities, enterprises attempt to enhance the internal technology acceptance, and then the new technology would fulfill its functions and advantages. As a result, the first step to take is to solve the problems of user acceptance in order to take the advantages of cloud computing applications.
There were many studies of user acceptance in the past, and the theories about technology adoption are getting perfect. Due to the unique characteristics, cloud computing is considered to be a new information technology. Therefore, this study focuses on exploring user acceptance of cloud computing in order to understand the decision factors of cloud technology adoption. We use Technology Acceptance Model as basic knowledge as well as Innovation Diffusion Theory to add important decision factors, and provide an integrated model of user acceptance of cloud computing. Through the empirical experiment we prove this model as a suitable and useful user acceptance model in cloud computing. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T00:12:15Z (GMT). No. of bitstreams: 1 ntu-101-R99725036-1.pdf: 964311 bytes, checksum: 6c623d096902dfb9a460489d46b01037 (MD5) Previous issue date: 2012 | en |
| dc.description.tableofcontents | 致謝詞 I
論文摘要 II THESIS ABSTRACT III 圖目錄 VII 表目錄 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 4 第二章 文獻探討 5 第一節 技術採用之理論模型 6 2.1.1. 科技接受模型(Technology Acceptance Model, TAM) 7 2.1.2. 創新擴散理論(Innovation Diffusion Theory, IDT) 11 第二節 雲端運算 15 2.2.1. 定義與特性 15 2.2.2. 服務模式 20 2.2.3. 資訊科技技術上的改變 22 2.2.4. 資訊科技應用管理上的改變 23 第三章 研究方法 29 第一節 研究架構 29 第二節 變項定義與衡量 32 3.2.1. 感知實用性(Perceived Usefulness) 32 3.2.2. 感知易用性(Perceived Ease of Use) 32 3.2.3. 一致性(Compatibility) 33 3.2.4. 主觀規範(Subjective Norm) 34 3.2.5. 其他變項 35 第三節 研究假設 35 第四節 研究抽樣與資料蒐集 37 第五節 資料研究方法 38 第四章 資料分析與研究結果 39 第一節 問卷回收及基本資料分析 39 第二節 測量模式分析 43 4.2.1. 信度衡量 43 4.2.2. 效度衡量 43 4.2.3. 模型適配度衡量 46 第三節 結構模式分析 48 4.3.1. 假設檢定 48 4.3.2. 效果分析 51 4.3.3. 問項分析 52 第五章 結論與建議 54 第一節 研究結論 54 第二節 學術貢獻 55 第三節 實務面建議 55 第四節 研究限制與未來研究建議 56 參考文獻 58 附錄一：問卷 62 | |
| dc.language.iso | zh-TW | |
| dc.subject | 使用者接受度 | zh_TW |
| dc.subject | 雲端運算 | zh_TW |
| dc.subject | 創新擴散理論 | zh_TW |
| dc.subject | 科技接受度模型 | zh_TW |
| dc.subject | Technology Acceptance Model | en |
| dc.subject | Innovation Diffusion Theory | en |
| dc.subject | Cloud Computing | en |
| dc.subject | User Acceptance | en |
| dc.title | 雲端運算科技之使用者接受度研究 | zh_TW |
| dc.title | A Study of User Acceptance of Cloud Computing Technology | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 100-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 盧信銘(Hsin-Min Lu),黃恆獎(Heng-Chiang Huang) | |
| dc.subject.keyword | 科技接受度模型,創新擴散理論,雲端運算,使用者接受度, | zh_TW |
| dc.subject.keyword | Technology Acceptance Model,Innovation Diffusion Theory,Cloud Computing,User Acceptance, | en |
| dc.relation.page | 68 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2012-07-12 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
| 顯示於系所單位： | 資訊管理學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-101-1.pdf 未授權公開取用 | 941.71 kB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。