§ 瀏覽學位論文書目資料
  
系統識別號 U0002-1106200815290500
DOI 10.6846/TKU.2008.00236
論文名稱(中文) 大學校園無線網路使用者行為之研究-以淡江大學為例
論文名稱(英文) The Study of Wireless Local Area Network(WLAN) User Behaviors - An Example of Tamkang University
第三語言論文名稱
校院名稱 淡江大學
系所名稱(中文) 資訊管理學系碩士班
系所名稱(英文) Department of Information Management
外國學位學校名稱
外國學位學院名稱
外國學位研究所名稱
學年度 96
學期 2
出版年 97
研究生(中文) 陳登輝
研究生(英文) Deng-Huei Chen
學號 694521427
學位類別 碩士
語言別 繁體中文
第二語言別
口試日期 2008-05-24
論文頁數 70頁
口試委員 指導教授 - 黃明達
委員 - 林至中
委員 - 周惠文
委員 - 劉艾華
關鍵字(中) 整合型科技接受與使用模式
無線網路
關鍵字(英) Unified Theory of Acceptance and Use of Technology(UTAUT)
WLAN
第三語言關鍵字
學科別分類
中文摘要
本校在去年底強化了本校的無線網路環境,加強了許多在校園內可無線上網的據點,讓學生能更為享受學校提供無線網路所帶來的便利性。因此,本研究主要的目的在探討更新過後學生的使用行為以及更新之後的滿意度。
    本研究主要以整合型科技接受與使用模式(Unified Theory of Acceptance and Use of Technology, UTAUT)(Venkatesh et al., 2003)來探討使用者對於無線網路的使用意向。透過文獻的收集與整理,採用紙本問卷的方式對學生發放,以確保填答的學生是本人,結果發現:
1.績效期望與努力期望會正向影響使用者使用無線網路的意圖,而使用意圖會正向影響實際使用。其中,以績效期望的影響程度最為顯著。
2.使用者對使用無線網路的績效期望會受到性別、年齡、經驗等控制變數的干擾而影響使用意圖。
3.使用者對使用無線網路的努力期望不會受到性別、年齡、經驗的干擾而影響使用意圖。
4.使用者對使用無線網路的社群影響會受到性別、經驗、等控制變數的干擾而影響使用意圖。
5.促成因素不會受到任何的控制變數而影響實際使用無線網路的行為。
英文摘要
This school strengthened this school wireless network environment at the end of last year, strengthened many foothold which may access the net wireless in the campus, enables the student more to enjoy the school to provide the convenience which the wireless network brings. Therefore, this research main goal after the discussion renews from now on student's use behavior as well as will renew the degree of satisfaction. This research mainly accepts by the conformity science and technology with the use pattern (Unified Theory of Acceptance and Use of Technology, UTAUT) (Venkatesh et al., 2003) discusses the user regarding the wireless network's use intention. By the literature collection and the reorganization, use the paper to interrogate the volume way to provide to the student, guaranteed that fills in the student who answers is myself, finally discovered: 
1.The achievements expected that with expected diligently can affect the user to use the wireless network's intention, but will use the intention to affect the actual use. And, is most remarkable by the achievements expectation's influence. 
2.The user for uses the wireless network's achievements to expect that can receive control variable and so on sex, age, experience disturbances to affect the use intention. 
3.The user for uses the wireless network's expectation diligently not to be able to receive the sex, the age, experience's disturbance to affect the use intention. 
4.The user for uses the wireless network's social group influence to be able to receive the sex, the experience, and so on control variable disturbances to affect the use intention. 
5.The contributory cause will not receive any control variable to affect the actual use wireless network's behavior.
第三語言摘要
論文目次
目錄	III
圖目錄	V
表目錄	VI
第一章 緒論	- 1 -
第一節 研究背景與動機	- 1 -
第二節 論文架構與研究流程	- 2 -
第二章 文獻探討	- 4 -
第一節 整合的科技接受與使用模式	- 4 -
一、UTAUT的起緣	- 4 -
二、UTAUT的架構	- 22 -
第三章 研究方法	- 26 -
第一節 研究架構	- 26 -
第二節 各變數之操作性定義	- 27 -
第三節 研究假說	- 31 -
第四節 樣本選擇與問卷進行方式	- 34 -
一、問卷進行方式	- 34 -
二、樣本選擇	- 37 -
第五節 資料分析方法與工具	- 37 -
第四章 資料分析與討論	- 40 -
第一節 敘述性統計分析	- 40 -
第二節 信效度分析	- 42 -
第三節 相關分析	- 44 -
第四節 假說驗證	- 45 -
第五節 假說驗證結果	- 53 -
第五章 結論與建議	- 56 -
第一節 研究結論與發現	- 56 -
一、對行為意向之影響	- 56 -
二、對實際使用之影響	- 57 -
第二節 研究限制	- 59 -
第三節 研究建議	- 60 -
參考文獻	- 61 -
一、中文部份	- 61 -
二、英文部份	- 61 -
附錄一 正式問卷	- 67 -

圖目錄
圖1-1 研究流程圖	- 3 -
圖2-1 使用者接受模式的基本概念	- 5 -
圖2-2 理性行為理論(TRA)	- 6 -
圖2-3 科技接受模式(TAM)	- 7 -
圖2-4 科技接受模式的延伸(TAM2)	- 10 -
圖2-5 動機模式(MM)	- 11 -
圖2-6 計畫行為理論(TPB)	- 12 -
圖2-7 解構計畫行為理論(DTPB)	- 13 -
圖2-8 計畫行為理論與科技接受模式結合模式(C-TAM-TPB)- 14 -
圖2-9 TRIANDIS人際行為模式主要部份	- 15 -
圖2-10個人電腦使用模式(MPCU)	- 15 -
圖2-11 社會認知理論架構(SCT)	- 19 -
圖2-12 科技接受之社會認知理論應用模式	- 22 -
圖2-13 整合的科技接受與使用模式(UTAUT)	- 22 -
圖3-1 研究架構	- 27 -
圖4-1 不考慮控制變數的路徑關係	- 47 -

表目錄
表3-1 研究模式中變數之操作性定義	- 30 -
表3-2 轉軸後的成份矩陣	- 35 -
表3-3 轉軸後的成份矩陣	- 36 -
表3-4 前測之信度分析	- 37 -
表4-1 KMO統計量的判斷原理表	- 42 -
表4-2 轉軸後的成份矩陣	- 43 -
表4-3 績效期望、努力期望、社群因素與使用意圖的相關係數- 44 -
表4-4 使用意圖、促成因素與實際使用無線網路的相關係數- 45 -
表4-5 各因素對使用意圖之多元迴歸分析	- 46 -
表4-6 使用意圖、促成因素對實際使用之多元迴歸分析- 47 -
表4-7 不同性別對各構面之差異性分析表	- 48 -
表4-8 不同性別與三個外部變數對使用意圖之迴歸分析- 48 -
表4-9 不同性別與促成因素對實際使用之迴歸分析	- 49 -
表4-10 不同年齡層對各構面之差異性分析表	- 50 -
表4-11 不同年齡層與三個外部變數對使用意圖之迴歸分析- 50 -
表4-12 不同年齡層與促成因素對實際使用之迴歸分析- 51 -
表4-13 不同經驗層對各構面之差異性分析表	- 52 -
表4-14 不同經驗層與三個外部變數對使用意圖之迴歸分析- 52 -
表4-15 不同經驗層與促成因素對實際使用之迴歸分析- 53 -
表4-16 研究假說驗證結果	- 53 -
表5-1 控制變數與三個外部變數對使用意圖之影響	- 58 -
表5-2 控制變數與促成因素對實際行為之影響	- 58 -
參考文獻
一、中文部份
1.周文賢,“多變量統計分析 SAS/SATA 使用方法”,智勝文化,初版,2003。
2.林東清,資訊管理 e化企業的核心競爭能力,智勝文化,再版,2005年七月。
3.邱皓政,“量化研究法(二)統計原理與分析技術”,雙葉書廊有限公司,修訂版,2005年七月。
4.邱皓政,“量化研究法(一)統計原理與分析技術”,雙葉書廊有限公司,2005
5.許楨哲,“國中教師使用行動教學資訊載具之接受程度研究 ”,國立高雄師範大學/資訊教育研究所碩士論文,2004。
6.楊世瑩,“SPSS 統計分析實務”,旗標出版,初版,2006。
二、英文部份
1.Ajzen, I., “The Theory of Planned Behavior,”  Organizational Behavior and Human Decision Processes, 50(2), 1991, pp. 179-211.
2.Ajzen, I., and Fishbein, M., Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice-Hall, 1980.
3.Ajzen, I., and Fishbein, M.,“Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research,”  Addison-Wesley Publishing Company, Inc., 1975
4.Anderson, J. C., and Gerbing, D. W.,“Structureal equation modeling in practice: A review and recommended two-step approach,” Psychological Bulletin, 1988, pp. 411-423.
5.Anonymous, “Use Business Intelligence to Boost Your Firm's Market Share, Productivity, & More ,” Accounting Office Management & Administration Report, Jun 2006, pp. 1-5.
6.Bandura, A., Social Foundations of Thought and Action: A Social Cognitive Theory, Prentice Hall, Englewood Cliffs, NJ, 1986.
7.Brancheau, J. C., and Wetherbe, J. C., “The Adoption of Spreadsheet Software : Testing Innovation Diffusion Theory in the Context of End-User Computing”, Information Systems Research, 1(2), 1990, pp.115-143
8.Brett, J. L., Landry, R. G., and Sandra, H.,“Measuring Student Perceptions of Blackboard Using the Technology Acceptance Model,” Decision Sciences Journal of Innovative Education, 4(1), 2006, pp. 87-99.
9.Chaudhuri, S., “Business Intelligence and Federal Financial Management,” The Journal of Government Financial Management, 55(2), Summer 2006, pp. 35-39.
10.Compeau, D. R., and Higgins, C. A., “Computer Self-Efficacy: Development of a Measure and Initial Test,” MIS Quarterly, 19(2), 1995, pp. 189-211.
11.Compeau, D. R., Higgins, C. A., and Huff, S.,“Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study,” MIS Quarterly, 23(2), 1999, pp. 145-158.
12.Cunningham, C. et al., “Data Warehouse Design to Support Customer Relationship Management Analyses,” Journal of Database Management, 17( 2), Apr-Jun 2006, pp. 62-84.
13.Davis, F. D., “A technology acceptance model for empirically testing new end-user information system: theory and results”, Ph.D. dissertation, MIT Sloan School of management , Cambridge, MA., 1986
14.Davis, F. D., “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,”  MIS Quarterly, 13(3), 1989, pp. 319-339.
15.Davis, F. D., Bagozzi, R. P., and Warshaw, P. R.,“Extrinsic and Intrinsic Motivation to Use Computers in the Workplace,”  Journal of Applied Social Psychology, 22(14), 1992, pp. 1111-1132.
16.Davis, F. D., Bagozzi, R. P., and Warshaw, P. R.,“User Acceptance of Computer Technology: A Comparison of Two Theoretical Models,”  Management Science, 35(8), 1989, pp. 982-1002.
17.Fishbein, M., and Ajzen, I., “Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research,” Addison-Wesley, Boston, MA.
18.Hall, D., and Mansfield, R., “Relationships of Age and Seniority with Career Variables of Engineers and Scientists,” Journal of Applied Psychology, 60(2), 1975, pp. 201-210.
19.Igbaria, M., and Iivari, J.,“The Effects of Self-efficacy on Computer Usage,” Omega(23:6), 1995, pp. 587-605.
20.Lee, Y., Kozar, K. A., and Larsen, K. R. T.,“The Technology Acceptance Model: Past, Present, and Future,”  Communication of the Association for Information System, 12(50), 2003, pp. 752-780.
21.Mahajan, V., Muller E., and Bass F. M.,“New Product Diffusion Models in Marketing: a Review and Direction for Future Research,” Journal of Marketing, 54(1), 1990, pp.1-26.
22.Mathieson, K., “Predicting user intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior,” Information System Research, 2(3),1991, pp. 173-191.
23.Miller, J. B. Toward a New Psychology of Women, Beacon Press, Boston, 1976.
24.Minton, H. L., and Schneider, F. W., Differential Psychology, Waveland Press, Prospect Heights, IL, 1980
25.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. 192-222.
26.Morris, M. G., and Venkatesh, V., “Age Differences in Technology Adoption Decisions: Implications for a Changing Workforce,” Personnel Psychology, 53(2), 2000, pp. 375-403.
27.Nelson, R., Todd, P. A., and Wixom B.H.,“Antecedents of Information and System Quality: An Empirical Examination within the Context of Data Warehousing,” Journal of Management Information System, Spring 2005, pp. 199-235.
28.Pears, R., and Houliston, B., “Optimization of Multidimensional Aggregates in Data Warehouses,” Journal of Database Management, IDEA Group Publishing, USA, 18(1), 2007
29.Pijpers, G. M., and Montfort, K. V.,“An Investigation of Factors that Influence Senior Executives to Accept Innovations in Information Technology,” International Journal of Management, 23(1), Mar 2006, pp. 11-23.
30.Plude, D., and Hoyer, W. “Attention and Performance: Identifying and Localizing Age Deficits,” in Aging and Human Performance, N. Charness (ed.), John Wiley & Sons, New York, 1985, pp. 47-99.
31.Porter, L., “Job Attitudes in Management: Perceived Importance of Needs as a Function of Job Level,” Journal of Applied Psychology, 47(2), 1963, pp. 141-148.
32.Pratte, D.,“Business intelligence tools are key to building profits,” TechRepublic, 2001
33.Rhodes, S. R. “Age-Related Differences in Work Attitudes and Behavior: A Review and Conceptual Analysis,” Psychological Bulletin, 93(2), 1983, pp. 328-367.
34.Rogers, E., Diffusion of Innovations, Free Press, New York, 1995.
35.Rothman, J. L., Using Multivariate Statistics, 2nd ed, Harper & Row Inc., 1989.
36.Shin B., “A case of data warehousing project management,” Information & Management, Vol. 39, 2002, pp. 581-592.
37.Taylor, S., and Todd, P. A., “Assessing IT Usage: The Role of Prior Experience”, MIS Quarterly, 1995a, (19:2),  pp. 551-570.
38.Taylor, S., and Todd, P. A., “Understanding Information Technology Usage: A Test of Competing Models”, Information Systems Research, June 1995, (6:2),pp. 144-176.
39.Thompson, R. L., Higgins, C. A. and Howell, J. M.,“Personal Computing: Toward a Conceptual Model of Utilization,” MIS Quarterly, 15(1), 1991, pp. 124-143.
40.Todd, P.A., and Wixom, B. H.,“A Theoretical Integration of User Satisfaction and Technology Acceptance,” Information Systems Research, Mar 2005, 16(1),pp. 85-102.
41.Vallerand, R. J., “Toward a Hierarchical Model of Intrinsic and Extrinsic Motivation,” in Advances in Experimental Social Psychology , M. Zanna , Academic Press, New York, 1997, pp. 271-360.
42.Venkatesh, V., “Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model,” Information Systems Research, 11(4), 2000, pp. 342-365.
43.Venkatesh, V., and Davis, F. D., “A theoretical extension of the technology acceptance model: Four longitudinal field studies,” Management Science, 46( 2), Linthicum: Feb 2000, pp. 186-204.
44.Venkatesh, V., and Morris, M. G., “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), 2000, pp. 115-139.
45.Venkatesh, V., and Speier, C., “Computer Technology Training in the Workplace: A Longitudinal Investigation of the Effect of the Mood,” Organizational Behavior and Human Decision Processes, 79(1), 1999, pp. 1-28.
46.Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D., “User acceptance of information technology: toward a unified view,” MIS Quarterly, 27(3), September 2003, pp. 425-478.
47.Wixom, B. H., and Watson, H. J., “An Empircal Investigation of The Factors Affecting Data Warehousing Success,” MIS Quarterly, 25(1), 2001,  pp. 17-41
48.Wood, R., and Bandura, A., “Social Cognitive Theory of Organizational Management,” Academy of Management Review, 14(3), pp. 361-384.
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