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博碩士論文 etd-0820104-073414 詳細資訊
Title page for etd-0820104-073414
論文名稱
Title
即時傳訊軟體採用模式之研究
Adoption of Instant Messaging
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
134
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2004-07-23
繳交日期
Date of Submission
2004-08-20
關鍵字
Keywords
主觀規範、即時傳訊軟體、LISREL、電腦自我效能、媒體豐富度、科技接受模式、結構方程模式
Structural Equation Model, Media Richness, LISREL, Computre Self-Efficacy, Technology Acceptance Model, Instant Messaging, Subjective Norm
統計
Statistics
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The thesis/dissertation has been browsed 5875 times, has been downloaded 5524 times.
中文摘要
隨著網際網路逐漸融入生活,IM軟體也成為溝通的新管道,全世界即時傳訊(Instant Messaging,IM)軟體採用的速度超過人們採用FAX、手機、e-mail以及WWW。目前全球IM軟體使用人口已達四億人之多,台灣達650萬人次註冊使用,IM軟體已經成為WWW、e-mail外最重要的網際網路應用。也由於其影響甚鉅,也成為企業投資發展與關注控管的焦點。IM軟體相形重要,但是在學術研究中,關於IM軟體使用的相關文獻卻仍然付之闕如。
在進行焦點團體訪談,瞭解影響使用者使用IM軟體的因素之後,本研究以科技採用模式(Technology Acceptance Model,TAM)理論探討主觀規範(Subjective Norm)、媒體豐富度(Media Richness)、電腦自我效能(Self Efficacy)對一般網路使用者採用消費性IM軟體(consumer IM)行為意向的影響。並以LISREL軟體進行結構方程模式的分析。
研究發現影響TAM中知覺有用性的因素是主觀規範,而影響知覺易用性的則是媒體豐富度與自我效能。有用性並不會受到媒體豐富度的影響,而只有受到主觀規範的影響。最後根據以上發現對實務提出具體的建議,並提供一些建議作為後續研究的參考。
Abstract
Nowadays, the internet is an unseperatable part of human life and instant messaging software becomes an important role of communication channel. There are 40 million global IM registration popularity who use IM and billions of messages are sent everyday. In Taiwan, there are 6.5 million registration popularity and IM is the third important internet appilication, besides WWW and e-mail. As IM has become more and more important, there was few academic researchs published.
We investigated consumer IM adoption behavior by focus group interview and structural equation model analysis. After holding a focus group interview, some antecedent of adopting IM was found out. Then we integrated technology acceptance model with media richness, computer self-efficacy and subjective norm as the antecedents of perceived usefulness(PU) and perceived ease of use(PEU) and analysised this structural equation model with LISREL.
We found that subjective norm is an antecedent of PU, media richness and computer self-efficacy are PEU’s antecedents. Finally, we made some suggestion for practice and other researchers base on the result.
目次 Table of Contents
內容目錄
致謝詞 i
論文摘要 iv
Abstract v
內容目錄 vi
圖目錄 ix
表格目錄 x
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機與目的 3
第三節 研究流程與論文架構 4
第二章 文獻回顧 7
第一節 即時傳訊軟體(IM軟體) 7
IM軟體的定義 7
IM軟體相關研究 11
第二節 使用行為之理論 13
態度(Attitude,A) 15
主觀規範(Subjective Norm,SN) 15
認知行為控制(Perceived Behavior Control,PBC) 16
行為意向(Behavior Intention) 16
第三節 TAM科技接受模式 18
TAM2 23
社會影響過程 24
認知工具性過程 25
小結 26
第四節 自我效能 26
第五節 媒體豐富度理論 29
第六節 文獻整理小結 32
第三章 研究架構與方法 34
第一節 研究架構 34
第二節 變數定義與操作化 35
第三節 研究假說 38
第四節 問卷設計 39
一、 焦點團體研究 40
二、 問卷初稿 48
三、 前測執行與前測結果 51
四、 問卷結構 56
第五節 問卷發放與整理 60
第六節 資料分析方法 62
結構方程模式 62
結構方程模式分析步驟 66
第四章 資料分析與結果 73
第一節 研究樣本特徵描述與分析 73
人口特徵描述性統計 73
即時傳訊軟體使用 74
聯絡人的關係狀態 77
第二節 「即時傳訊軟體採用行為模式」之驗證 78
測量模式分析 79
整體適配度 83
結構模式分析 85
外在變項的影響 88
假說檢定結果 89
第五章 結論與建議 97
第一節 研究結論 97
第二節 研究貢獻 100
對學術研究的貢獻 100
對實務應用的貢獻 100
第三節 研究限制 102
理論基礎 102
調查對象 103
資料蒐集 103
研究方法 103
第四節 後續研究建議 103
參考文獻 105
中文文獻 105
英文文獻 105
統計報告 110
附錄一 結構方程模式 111
結構方程模式 111
結構方程模式分析步驟 115
附錄二 問卷設計 120
參考文獻 References
參考文獻
中文文獻
1. 邱家範(2001),高雄市家戶資源回收行為整合模式。國立中山大學公共事務管理所碩士論文。
2. 黃郁雯(2003),電腦自我效能、電腦經驗與他人支持三者與電腦態度及電腦焦慮之關係。國立政治大學心理學系碩士論文。
3. 陳淑鳳(2001),電子化政府下國稅稽徵人員資訊科技行為模式之研究。國立中山大學公共事務管理所碩士論文。
英文文獻
1. The Wireless Village initiative - The mobile IMPS initiative white paper. (2002). The Wireless Village initiative.
2. Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). perceived usefulness, ease of use, and usage of IT: A replication. MIS Quarterly, 16(2), 227-247.
3. Agarwal, R. (2000). Individual Acceptance of Information Technology.
4. Agarwal, R., & Prasad, J. (1997). The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Science, 28(3), 557-582.
5. Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
6. Anderson, J. C., & Gerbing, D. W. (1998). Structural Equation
7. Boomsma , A.(2000). Report Analyses of Covariance Structures. STRUCTURAL EQUATION MODELING, 7(3), 461-483.
8. Modelling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411-423.
9. Bagozzi, R. P., & Foxall, G. R. (1996). Construct validation of a measure of adaptive-innovative cognitive styles in consumption. International Journal of Research in Marketing, 13, 201-213.
10. Bardner, E., & Mark, G. (2002). Why distance matters: Effects of cooperation persuasion and deception. Paper presented at the Computer supported cooperative work conference, New Orleans, LA.
11. Bentler, P. M. (1998). Theory and implementation of EQS: A structural equations program. Los Angeles: BMDP Statistical Software.
12. Bentler, P. M. (2001). EQS 6 structural equations program manual. Encino, CA: Multivariate Software.
13. Bollen, K. A. (1989). Structural Equations with Latent Variables. New York: John Wiley and Sons.
14. Bollen, K. A. (2002). Latent variables in psychology and the social sciences. Anual review of psychology, 53, 605-634.
15. Cameron, A. F., & Webster, J. (2003). Unintended consequences of emerging communication technologies: Instant messaging in the workplace. Computers in Human Behavior, 12(1).
16. Cutrell, E., Czerwinski, M., & Horvitz, E. (2001). Notification, disruption, and memory: Effects of messaging interruptions on memory and performance. Paper presented at the interact conference, Tokyo, Japan.
17. Daft, R. L., & Lengel, R. H. (1979). Language and Organization. Academy of Management Review, 4(2), 179-191.
18. Daft, R. L., & Lengel, R. H. (1984). Information Richness: A New Approach to Managerial Behavior and Organization Design. Research in Organizational Behavior, 6, 191-223.
19. Daft, R. L., & Lengel, R. H. (1986). Organizational Information Requirements, Media Richness and Structural Design. Management Science, 32(5), 554-571.
20. Daft, R. L., Lengel, R. H., & Trevino, L. (1987). Message Equivocality, Media Selection, and Manager Performance. MIS Quarterly, 11(3), 355-366.
21. Daft, R. L., & Macintosh, N. B. (1981). A Tentative Exploration into the Amount and Equivocality of Information Processing in Organizational Work Units. Administrative Science Quarterly, 26, 207-224.
22. Dasgupta, S., Granger, M., & McGarry, N. (2002). User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model. Group Decision and Negotiation, 11(2), 87-100.
23. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: Acomparison of two theorical models. Management Science, 35(8), 982-1003.
24. Fornell, C., & Larcker, D. F. (1986). Evaluation Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39.
25. Gefen, D., & Straub, D. W. (1997). Gender differences in the perception and use of E-mail: An extension to the technology acceptance model. MIS Quarterly, 21(4), 389-400.
26. Ghiselli, E. E., Campbell, J. P., & Zedeck, S. (1981). Measurement theory for the behavioral sciences. San Francisco: Freeman.
27. Grinter, R. E., & Palen, L. (2002). IM everywhere: Instant Messaging in Teen Life. Paper presented at the Computer Supported Cooperative Work, New Orleans, Louisiana, USA.
28. Hu, L. T., Bentler, P. M., & Kano, Y. (1992). Can Test Statistics in Covariance Structure Analysis Be Trusted? Psychological Bulletin, 112(2), 351-362.
29. Hansen, K. M., & Damm, C. H. (2002). Instant collaboration: Using context-aware instant messaging for session management in distributed collaboration tools. Paper presented at the NordiCHI conference, Arhus, Denmark.
30. Herbsleb, J. D., Atkins, D. L., Boyer, D. G., Handel, M., & Finholt, T. A. (2000). Introducing instant messaging and chat in the workplace. Paper presented at the computer-human interaction conference, Minneapolis, MN.
31. Hu, P. J., Chau, P. Y. K., Sheng, O. R., Liu, T., & Yan, K. (1999). Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of Management Information Systems, 16(2), 91-112.
32. Igbaria, M., & Guimaraes, T., Davis, Gordon B. (1995). Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems, 11(4), 87-114.
33. Igbaria, M., Parasuraman, S., & Baroudi, J. J. (1996). A motivational model of Microcomputer usage. Journal of Management Ifforment, 13(1), 127 - 144.
34. Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. L. M. (1997). Personal computing acceptance factors in small firms: A structural equation model. MIS Quarterly, 21(3), 279-302.
35. Isaacs, E., Walendowski, A., Whittaker, S., Schiano, D. J., & Kamm, C. (2002). IM everywhere: The Character, Functions, and Styles of Instant Messaging in the Workplace. Paper presented at the Computer Supported Cooperative Work, New Orleans, Louisiana, USA.
36. Jackson, C. M., Chow, S., & Leitch, R. A. (1997). Toward an Understanding of the Behavioral Intention to Use an Information System. Decision Sciences., 28(2), 357-389.
37. Jöreskog, Karl G. & Söbom, Dag(2003). LISREL 8.54 manual.
38. Karahanna, E., & Straub, D. W. (1999). The psychological origins of perceived usefulness and ease-of-use. Information & Management, 35, 237-250.
39. 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.
40. Kelman, H. C. (1958). Compliance, identification and internalization: three processes of attitude change. Journal of Conflict Resolution, 2, 51-60.
41. Kerlinger, F. N. (1978). Foundations of Behavioral Research. New York: McGraw-Hill.
42. King, R. C., & Xia, W. (1997). Media appropriateness: Effects of experience on communication media choice. Decision Sciences, 28(4), 871-910.
43. Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision Support Systems, 29, 269-282.
44. Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology?A critical review of the technology acceptance model. Information & Management, 40(3), 191-204.
45. Lim, K. H., & Benbasat, I. (2000). The effect of multimedia on perceived equivocality and perceived usefulness of information systems. MIS Quarterly, 42(3), 449-471.
46. Lord, C. G. (1997). Social Psychology. Texas.
47. Lowry, R., & Curtis. (2004). Scientometric Study of IS journals. Journal of the Association for Information Systems, 5(2), 29-77.
48. Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998). The Multilevel and Multifaceted Character of Computer Self-Efficacy: Toward Clarification of the Construct and an Integrative Framework for Research. Information Systems Research, 9(2), 126.
49. Mathieson, K. (1991). Predicting user intentions: comparing the technology
50. acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
51. Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38, 217 - 230.
52. Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2, 192-222.
53. Nardi, B. A., Whittaker, S., & Bradner, E. (2000). Interaction and Outeraction:Instant Messaging in Action. Paper presented at the Computer Supported Cooperative Work, New Orleans, Louisiana, USA.
54. Newman, M. E. J. (2001). Ego-centered networks and the ripple effect, or Why all your friends are weird. Unpublished Preprint.
55. Pauleen, D. J., & Yoong, P. (2001). Facilitating virtual team relationships via Internet and conventional communication channels via Internet and conventional communication channels. Internet Research: Electronic Networking Applications and Policy, 11(3), 190-202.
56. Ping, J. R. A. (2004). Testing latent Variable Models With Survey Data 2nd Edition.
57. Plouffe, C. R., Hulland, J. S., & Vandenbosch, M. (2001). Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions - Understanding Merchant Adoption of a SmartCard-Based PaymentSystem. Information Systems Research, 12(2), 208-222.
58. Roscoe, J. T. (1975). Fundamental Research Statistics for the Behavior Sciences, 2ndedition, Rinehart and Winston.
59. Schiano, D. J., Chen, C. P., Ginsberg, J., Gretarsdottir, U., Huddleston, M., & Isaacs, E. (2002). Teen Use of Messaging Media. Paper presented at the Conference on Human Factors and Computing Systems, Minneapolis, Minnesota, USA.
60. Segerstad, Y. H., & Ljungstrand, P.(2002). Instant messaging with WebWho. International Journal of Human-Computer Studies, 56, 147-171
61. Shapiro, C., & Varian, H. R. (1999). Information Rules:A Strategic Guide to the Network Economy.
62. Short, J., Williams, E., & Christie, B. (1976). The Social Psychology of Telecommunications. London: John Wiley &sons.
63. Straub, D., Limayem, M., & Karahanna, E. (1995). Measuring system usage: Implications for IS theory testing. Management Science, 41(8), 1328-1342.
64. Szajna, B. (1994). Software Evaluations and Choice: Predictive Validation of the Technology Acceptance Instrument. MIS Quarterly, 18(3), 319-324.
65. Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92.
66. Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92.
67. Taylor, S., & Todd, P. (1995). Assessing IT usage: the role of prior experience. MIS Quarterly, 19(4), 561-570.
68. Taylor, S., & Todd, P. (1995). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International Journal of Research in Marketing, 12(2), 137-156.
69. Teo, T. S., Lim, V. K., & Lai, R. Y. (1999). Intrinsic and extrinsic motivation in Internet usage. Omega, 27(1), 25-37.
70. Venkatesh, V. (1999). Creation of favorable user perceptions: Exploring the role of intrinsic motivation. MIS Quarterly, 23(2), 239-260.
71. Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342.
72. Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451.
73. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal studies. Management Science, 46(2), 186-204.
74. 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.
75. Voida, A., Newstetter, W. C., & Mynatt, E. D. (2002). I Think, therefore IM: When Conventions Collide:The Tensions of Instant Messaging Attributed. Paper presented at the Conference on Human Factors and Computing Systems, Minneapolis, Minnesota, USA.
76. Yi, M. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59, 431-449.
統計報告
1. FIND.org(2003),1996年起台灣地區歷年網人口統計圖, http://www.find.org.tw/0105/howmany/usage_1.asp
2. 創市際®市場研究顧問公司(2003/9),台灣即時訊息服務市場現狀, http://www.insightxplorer.com/news/news_09_23.html
3. yam蕃薯藤(2003),2003年台灣網路使用調查,http://survey.yam.com/survey2003/chart/
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