| 研究生: |
吳孟蕎 Wu, Meng-Chiao |
|---|---|
| 論文名稱: |
整合TAM與TRA理論探討企業對雲端運算服務接受態度之研究-以台灣電信營運商為例 Integrating TAM and TRA Theory to Discuss the Acceptance Attitude of Enterprise toward Cloud Computing Service provide by Telecommunications Operators in Taiwan |
| 指導教授: |
胡聯國
Hu, Len-Kuo 莊雙喜 Chuang, Shuang-Shii |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 高階管理碩士在職專班(EMBA) Executive Master of Business Administration (EMBA) |
| 論文出版年: | 2012 |
| 畢業學年度: | 100 |
| 語文別: | 中文 |
| 論文頁數: | 75 |
| 中文關鍵詞: | 雲端運算 、雲端服務 、電信營運商 、理性行為理論 、科技接受模式 |
| 外文關鍵詞: | Cloud Computing, Cloud Services, Telecom Operators, Theory of Reasoned Action (TRA), Technology Acceptance Model (TAM) |
| 相關次數: | 點閱:119 下載:0 |
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近年來,資通訊科技業者爭先搶攻「雲端運算(Cloud Computing)」商機。 Gartner預測至 2012 年《財星雜誌》前 1,000 大企業中,將有80% 企業評估採用雲端運算服務。根據IDC雲端服務預測,2013 年雲端服務將高達422億美元支出成長率將超越傳統IT資訊服務,成為未來資通訊應用的主流。
首先,本研究試圖建立一個整合性架構,探討企業客戶對於電信營運商提供雲端服務時,最重要關鍵因素就是在瞭解企業用戶之行為意向。藉此,本研究整合了Davis(1989)提出的科技接受模型與Fisfbein and Ajzen(1975)提出之理性行為理論作為主要理論基礎。分別探討企業客戶採用電信營運商其對此新興雲端運算服務之信任、知覺有用性、知覺易用性、主觀規範、使用態度與行為意向之關係。其次,本研究採用判斷抽樣法,選擇企業中不特定單位人員採行問卷及實體問卷方式對企業相關決策人員發送,總計取回有效問卷樣本為206份。最後,本研究之結論可以歸納如下:
1.信任會顯著正向影響企業客戶採用電信服務營運商之雲端運算服務的使用態度關係。
2.知覺有用性會顯著正向影響企業客戶採用電信服務營運商之雲端運算服務的使用態度關係。
3.知覺易用性會顯著正向影響企業客戶採用電信服務營運商之雲端運算服務使用態度。
4.主觀規範會顯著正向影響企業客戶採用電信服務營運商之雲端運算服務行為意向。
5.企業客戶採用電信服務營運商之雲端運算服務之使用態度對行為意向會呈現正向直接影響。
In recent years, the ICT industry contented for opportunities with “Cloud Computing business”. This industry had launched in many innovative applications. A marketing research firm Gartner predicts that there will be up to 80% enterprises of the Top 1,000 Enterprises in the "Fortune" will use cloud computing services as part of enterprise IT environments by 2012. While the output value of global cloud computing products and services in 2008 was 46.4 billion U.S. dollars, it will grow up to 3.2 times to be more than $ 150 billion. It will be in to the mainstream of the ICT applications in the future.
First of all, the purpose of this study is to build an integrated framework to explore the most important key factor which is to understanding of the behavior of corporate customers while telecom operators providing Cloud Computing services. Therefore, this integrated The Technology Acceptance Model (TAM) by Davis (1989) and the Theory of Reasoned Action (TRA) developed by Fisfbein and Ajzen (1975) as theoretical bases. Respectively, examine the relationships among trust, subject norm, perceived usefulness, perceived ease of use, attitude and behavioral intention in this emerging cloud computing services between enterprises and the telecom operator. Second, this study adopts a judgmental sampling method to choose the way of convenience sampling network questionnaire sent on business decision-makers. Total retrieve questionnaire samples are 206.
Finally, the research is summarily concluded as follows:
(1) The trust has positive direct effect on attitude base on enterprise customers with useing of cloud computing services provided by the telecom service operators.
(2) The perceived usefulness has positive direct effect on attitude base on enterprise customers with useing of cloud computing services provided by the telecom service operators.
(3) The perceived ease of use has positive direct effect on attitude base on enterprise customers with useing of cloud computing services provided by the telecom service operators.
(4) The subject norm has positive direct effect on behavioral intention base on enterprise customers with useing of cloud computing services provided by the telecom service operators..
(5) The attitude has positive direct effect on behavioral intention base on enterprise customers with useing of cloud computing services provided by the telecom service operators.
1.朱斌妤、黃仟文、翁少白(2008),以科技接受模式探討即時交通資訊系統之使用意願,電子商務學報,第10卷第1期,頁173-200。
2.余泰魁、吳桂森、李能慧(2005),我國技職體系學生MP3使用行為模式之研究,資訊管理學報,第12卷第3期,頁189-222。
3.余泰魁、楊淑斐(2005),線上學習系統使用意向之模式建構與比較分析研究,台灣管理學刊,第5卷第2期,頁311-337。
4.吳亞馨、朱素玥、方文昌(2008),網路購物信任與科技接受模式之實證研究,資訊管理學報,第15卷第1期,頁123-152。
5.吳萬益(2000),企業研究方法,台北:華泰文化事業。
6.林文寶、楊淑斐(2005),影響線上學習市場使用意向模式建構之研究 - 模糊類神經網路方法之應用,中山管理評論,第13卷第2期,頁721-748。
7.洪新原、梁定澎、張嘉銘(2005),科技接受模式之彙總研究,資訊管理學報,第12卷第4期,頁211-234。
8.張庭彰、廖育鋒、林經淦(2008),以科技接受模式探討模擬機使用接受態度之研究 - 以飛行員使用訓練模擬器為例,危機管理學刊,第5卷第1期,頁79-88。
9.張紹勳(2002),兩性採用資訊科技的徑路比較,管理評論,第21卷第4期,頁19-45。
10.梁世安、余國瑋(2005),以科技接受模式探討二輪式電動代步車消費者接受程度,行銷評論,第2卷第2期,頁135-148。
11.許文楷、黃秀慧、陳榮方(2006),企業員工對新導入資訊科技之學習態度研究 - 以ERP 系統之使用者為例,教育心理學報,第38卷第1期,頁19-36。
12.陳順宇(2005),多變量分析,台北:華泰文化事業。
13.陳叡智、包文凱(2007),政府機關導入資訊系統成效之研究 - 以國稅局稅務平台系統為例,中原企管評論,第5卷第2期,頁73-96。
14.蔡宗宏、池文海、許瑋麟(2007),運用TAM 模式探討個人動機與社會系絡影響使用者接受知識管理系統之因素 - 以高科技公司為例,電子商務研究,第5卷第1期,頁81-108。
15.盧希鵬、林泓君、林娟娟(2003),電子商務人員生涯抉擇之探討,管理評論,第22卷第2期,頁111-129。
16.蕭銘雄、鄭曉平(2008),以延伸式科技接受模型探討消費者線上投保人壽保險之意願,電子商務學報,第10卷第1期,頁1-26。
17.楊文誌(2010), 雲端運算Cloud Computing技術指南,松崗資產管理股份有限公司。
18.蔡均璋(2010), 雲端時代來臨-企業檢視資安架構的絕佳契機,IBM 藍色觀點2010年七月號第11頁至13頁。
19.鐘嘉德、高天助、楊家栩(2010), 雲端運算與產業發展,研討雙月刊第34卷第四期第20頁到第31頁。
20.溫蓓章(2011), 兩岸雲端服務產業發展與合作, 國際經濟情勢雙週報第 1738期第5頁到第13頁。
21.劉家瑜(2011),資訊變革雲端運算時代正式來臨, 貿易Trade Magazine第241期第11頁至第13頁。
二、 英文部分
1.Ajzen, I. (1985), From Intentions to Actions: A Theory of Planned Behavior, Action-Control: From Cognition to Behavior, Heidelberg: Springer.
2.Ajzen, I. (2002), Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior, Journal of Applied Social Psychology, 32, 665-683.
3.Bagozzi, R. P., & Yi, Y. (1988), On the Evaluation of Structural Equation Models, Academy of Marketing Science, 16(1), 76-94.
4.Bock, G. W., Zmud, R. W., Kim, Y. G., & Lee, J. N., (2005), Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-Psychological Forces, and Organizational Climate, MIS Quarterly, 29(1), 87-111.
5.Chau, P. Y. K., & Hu, P. J. H., (2002), Investigating Healthcare Professionals’ Decisions to Accept Telemedicine Technology: An Empirical Test of Competing Theories, Information & management, 39(4), 297-311.
6.Fishbein, M. & Ajzen, I. (1975), Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, MA: Addison-Wesley.
7.Gefen, D., Karahanna, E., & Steaub, D. W. (2003), Trust and TAM in Online Shopping: An Integrated Model, MIS Quarterly, 27(1), 51-90.
8.GytisRaciukaitis(2009), “Cloud_Computing”, IBM Reporting documents。
9.Hair, J. F., Anderson, R. E., Tatham, R. L. & Black. W. C., (1998), Multivariate Data Analysis, NJ: Prentice-Hall.
10.Jackson, C. M., Chow, S., & Leitch, R. A. (1997), Toward an Understanding of the Behavior Intension to Use An Information System, Decision Sciences, 28 (2), 357-389.
11.Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000), Consumer Trust in An Internet Store, Information Technology and Management, 1(1), 45-71.
12.Karahanna, E., Straub, D. W. & Chervany, N. L. (1999), Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post Adoption Beliefs, MIS Quarterly, 23(2), 183-213.
13.Luarn, P. & Lin, H. H. (2004), Toward an Understanding of the Behavioral Intention to Use Mobile Banking, Computers in Human Behavior, 21(6), 873-891.
14.Luo, X. (2002), Trust Production and Privacy Concerns on the Internet: A Framework Based on Relationship Marketing and Social Exchange Theory, Industrial Marketing Management, 31, 111-118.
15.Nunnally, J. (1978), Psychometric Theory, NY: McGraw-Hill.
16.Moon, J. W., & Kim, Y. G. (2001), Extending the TAM for a World Wide Web context, Information & Management, 38(4), 217-230.
17.Pavlou, P. A., (2003), Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model. International Journal of Electronic Commerce, 7(3), 101-134.
18.Venkatesh, V. & Davis, F. D. (2000), A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies, Management Science, 46(2), 186-20
校內:2020-01-01公開