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研究生:葉美春
研究生(外文):Mei-Chun Yeh
論文名稱:使用者採用知識管理系統之影響因素研究─理論模型的比較取向
論文名稱(外文):A Study on Influencing Factors of Knowledge Management Systems Adoption: Models Comparison Approach
指導教授:阮明淑阮明淑引用關係
指導教授(外文):Ming-Shu Yuan
學位類別:碩士
校院名稱:世新大學
系所名稱:資訊傳播學研究所(含碩專班)
學門:傳播學門
學類:一般大眾傳播學類
論文種類:學術論文
論文出版年:2007
畢業學年度:95
語文別:中文
論文頁數:114
中文關鍵詞:結構方程模式分解式計畫行為理論科技接受模式知識管理系統
外文關鍵詞:structural equation modeldecomposed theory of planned behaviortechnology acceptance modelknowledge management systems
相關次數:
  • 被引用被引用:35
  • 點閱點閱:1529
  • 評分評分:
  • 下載下載:240
  • 收藏至我的研究室書目清單書目收藏:15
本研究主要從行為意向的角度,以結構方程模式為分析方法,科技接受模式與分解式計畫行為理論為研究基礎,探討421位中華電信員工採用知識管理系統之影響因素,並比較兩種理論模式。研究結果發現,分解式計畫行為理論在行為意向的解釋力方面並未較科技接受模式有明顯增加。使用者對知識管理系統之影響因素方面,行為意向能有效預測使用行為;態度、主觀規範與知覺行為控制能有效預測行為意向,其中以態度的預測力最強,其次是主觀規範,最後則是知覺行為控制;有用性認知只能間接預測行為意向;易用性認知能有效預測有用性認知;有用性認知與易用性認知能有效預測態度,且有用性認知的預測力較易用性認知高;同儕影響與主管影響能有效預測主觀規範,而同儕影響的預測力則較主管影響高;自我效能與資源助益環境能有效預測知覺行為控制,其中自我效能預測力較資源助益環境高。本研究從使用者面向分析使用者採用知識管理系統的影響因素,並可將此結果做為即將導入或推廣知識管理系統之電信業者一個參考的依據。
Using structural equation model as analysis method and technology acceptance model and decomposed theory of planned behavior as research foundation, this study approaches mainly from the angle of behavioral intention to examine the influential factors of 421 employees adopting knowledge management systems and in the meantime to compare the two method models mentioned on the top. According to the research, there is no, in comparison with technology acceptance model and decomposed theory of planned behavior, apparent increase on the explanatory power with the posterior. On the aspect of influential factors of users toward knowledge management systems, behavioral intention can efficiently predict the usage behavior, while attitude, subjective norm, and perceived behavioral control the behavioral intention, attitude has the strongest predictive power among above, than subjective norm, and the least perceived behavioral control. Perceived usefulness can only predict the behavioral intention indirectly, while perceived ease of use can efficiently predict perceived usefulness. Perceived usefulness and perceived ease of use can predict attitude effectively, but the former owns a better predictive power than the latter. Both peer influence and superior’s influence can operatively predict the subjective norm, but peer influence has a higher predictive power. Compare self efficacy and resource facilitating conditions, the former is more powerful than the latter in predicting perceived behavioral control. From the viewpoint of end-users, this research analyses the effect factors that why users adopt knowledge management system, meanwhile, making this result as a reference for telecommunication dealers who is going to lead into or promote knowledge management systems.
第一章 緒論
第一節 研究動機與目的………………………………1
第二節 研究架構………………………………………3
第三節 研究問題………………………………………4
第四節 研究假設………………………………………5
第五節 名詞解釋………………………………………6
第二章 文獻探討
第一節 知識管理系統…………………………………9
第二節 科技接受模式…………………………………13
第三節 分解式計畫行為理論…………………………18
第四節 資訊科技接受度的理論研究…………………28
第五節 知識管理系統採用行為之相關變項…………31
第三章 研究方法
第一節 研究對象………………………………………36
第二節 研究工具………………………………………45
第三節 實施程序………………………………………51
第四節 資料處理………………………………………51
第四章 結果與討論
第一節 模式估計………………………………………64
第二節 適配度評鑑……………………………………66
第三節 模式解釋………………………………………74
第四節 使用行為分析…………………………………82
第五章 結論與建議
第一節 結論……………………………………………86
第二節 建議……………………………………………86
第三節 研究限制………………………………………87
第四節 未來研究建議…………………………………88
參考文獻…………………………………………………90
附錄
問卷………………………………………………………99
中華電信股份有限公司(民93a)。中華電信推動知識管理系統計畫書。台北:中華電信股份有限公司。
中華電信股份有限公司(民93b)。中華電信推動知識管理系統─專業知能傳承作業上線說明。台北:中華電信股份有限公司。
中華電信人力資源處(民93)。中華電信知識管理系統簡報檔。台北:中華電信股份有限公司。
中華電信總公司資訊處(民93)。知識管理系統現況及推動說明。台北:中華電信股份有限公司。
中華電信總公司資訊處(民94)。知識管理平台系統功能簡介簡報檔。台北:中華電信股份有限公司。
中華電信研究所網路及多媒體研究室(民94)。中華電信知識管理系統社群使用者手冊。台北:中華電信股份有限公司。
中華電信股份有限公司(民95)。中華電信公司知識管理系統。Retrieved February 16, 2006 From http://km.cht.com.tw/chtlogin.jsp
中華電信股份有限公司(民95)。中華電信公司知識管理知識庫。Retrieved March 2, 2006 From http://km.cht.com.tw/www/index.jsp
中華電信股份有限公司(民95)。中華電信公司專業知能傳承。Retrieved March 2, 2006 From http://km.cht.com.tw/WorkDes/Main.jsp
中華電信股份有限公司(民95)。中華電信公司社群服務。Retrieved March 2, 2006 From http://km.cht.com.tw/CommunityLogin.jsp
中華電信股份有限公司(民95)。中華電信公司外部知識庫。Retrieved March 2, 2006 From http://10.2.42.100/online11.htm
王淑娟(民91)。資訊系統採用行為之研究-以某大學資訊系統為例。國立雲林科技大學資訊管理研究所碩士論文(未出版)。
史明德(民94)。關鍵知識庫簡介簡報檔。台北:中華電信公司。
行政院經濟建設委員會(民89)。中華民國行政院知識經濟發展方案。台北:行政院經濟建設委員會。
余泰魁、楊淑斐(民94)。線上學習系統使用意向之模式建構與比較分析研究。臺灣管理學刊,5(2),311-337。
李祐榮(民91)。知識管理系統接受度影響因素之研究。國立中山大學資訊管理研究所碩士論文(未出版)。
李鍵壕(民93)。高雄市公務人員對知識管理系統之科技接受度。國立中山大學公共事務管理研究所碩士論文(未出版)。
林東清(民92)。知識管理。台北市:智勝文化。
林東清、孫培真、徐景智(民89)。影響資訊系統使用者抗拒行為之原因:以計畫行為理論為基礎之整合研究。資訊管理研究,2(2),1-26。
林蘋、陳素緩、王玠斌(民93)。資訊管理碩士在職專班學生學習行為意圖及其影響因素之研究。樹德科技大學學報,6(2),179-194。
洪新原、梁定澎、張嘉銘(民94)。科技接受模式之彙總研究。資訊管理學報,12(4),211-234。
邱郁文、方國定(民94)。整合知覺玩興構面擴充資訊科技接受模式─以入口網站為例。資訊管理展望,7(1),37-54。
金承慧、梁朝雲(民92)。研發機構組織成員知識分享行為意圖研究。圖書資訊學刊,1(3),59-87。
周家慧、張善斌、范垂仁、顧為元(民93)。綜合所得稅網路結算申報系統的接受度之研究。電子商務研究,2(4),359-380。
吳盛(民92)。以計畫行為理論探討資訊人員的知識分享行為。國立中山大學資訊管理學系研究所博士論文(未出版)。
邱皓政(民93)。結構方程模式:LISREL的理論、技術與應用。台北:雙葉書廊。
莊煥銘、王淑娟(民92)。資訊系統採用行為意向之研究-以某大學為例。商管科技季刊,4(3),239-259。
莊孟豪(民92)。應用擴充計畫行為理論比較金控公司資訊系統新舊員工使用行為研究─以證券後檯資訊系統為例。國立高雄第一科技大學資訊管理所碩士論文(未出版)。
陳玟君(民89)。台灣地區企業採用電子文件傳送之行為意向研究-以計畫行為理論為例。國立中正大學企業管理研究所碩士論文(未出版)。
陳哲閎(民95)。別讓知識藏在公司文件匣中。Retrieved October 17, 2006, From
http://taiwan.cnet.com/enterprise/column/0,2000062893,20106017,00.htm
張家慧(民94)。影響護理人員採用護理計畫知識庫系統行為意向之研究─以某醫
學中心為例。國立中正大學資訊管理學系碩士論文(未出版)。
張新華(民88)。資訊學概論。台北:臺灣商務印書館。
黃芳銘(民93)。結構方程模式理論與應用。台北市:五南圖書出版股份有限公司。
黃俊英(民89)。多變量分析。台北市:華泰書局。
經濟部技術處(2003)。經濟部智慧資本專案。台北:經濟部技術處。
葉美春(民95.2)。使用者對知識管理系統接受度影響因素初探-以中華電信為例。發表於台北大學主辦的2006電子商務與數位生活研討會。
碩網資訊(民93)。SmartKMS知識管理系統簡介。Retrieved February 28, 2006, From http://www.intumit.com/index.htm
劉常勇(民88.8)。知識管理與企業發展。發表於智慧財產權管理與專利應用研討會。
鄭培華(民93)。國民小學資訊系統採用行為之研究。國立中正大學資訊管理學系碩士論文(未出版)。
盧希鵬(民92)。知識管理:玩真的還是玩假的?Retrieved January 4, 2006, From http://140.118.9.116/club414/Board.asp?Skey=1028&DID=0
謝恬、阮明淑 (民95)。台灣地區商用知識管理系統之比較分析初探。教育資料與圖書館學,43(4),487-507。
謝寶煖(民92)。量化研究與統計分析課程講義。
蕭至惠、張琡婍(民95.2)。影響消費者對電子書接受意願因素之研究。發表於台北大學主辦的2006電子商務與數位生活研討會。
Adams, D., Nelson, R. R., & Todd, P. A. (1992). Perceived Usefulness, Ease of Use, and Usage of Information Technology:A Replication. MIS Quarterly,16(2). 227-247.
Ajzen, I., & Fishbein, M.(1980). Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ:Prentice Hall.
Ajzen, I. (1985).From Intentions to Actions:A Theory of Planned Behavior. In J.Kuhl and J.Bechmann(Eds.), Action Control:From Cognition to Behavior(pp.11-39). Springer Heidelberg.
Ajzen, I.(1989). Attitude Structure and Behavior. In A.R. Pratkanis, S.J. Breckler, & A.G. Greenwald(Eds.), Attitude Structure and Function(pp.241-274).NY: Lawrence Erlbaum Associates.
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
Ajzen, I. (2002). Constructing a TpB Questionnaire:Conceptual and Methodological Considerations. Retrieved March 6, 2006, from http://people.umass.edu/aizen/pdf/tpb.measurement.pdf
Alavi, M., & Leidner, D. E. (2001). Review:Knowledge Management And Knowledge Management Systems:Conceptual Foundations And Research Issues. MIS Quarterly,25(1), 107-136.
Arthur Andersen Business Consulting(2000)。知識管理的第一本書(劉京偉譯)。台北:商周出版。(原書於1999年出版)。
Bagozzi, R. P., & Yi, Y. (1988). On the Evaluation Structural Equation Models. Academic of Marketing Science, 16, 74-94.
Bandura, A. (1986). Social Foundations of Thought and Action. Englewood Cliffs, NJ:Prentice Hall.
Barclay, R.O., & Murray, P.C. (1997). What is knowledge management?Retrieved February 21, 2006, from http://www.media-access.com/whatis.html
Beckman, T.J. (1999). The current state of knowledge management. In J. Liebowitz(Eds.), Knowledge management handbook(pp.1-22). NY: CRC Press.
Benham, H. C., & Raymond, B. C. (1996). Information technology adoption: evidence from a voice mail introduction. ACM SIGCPR Computer Personnel, 17(1), 3-25.
Bentler, P. M., & Bonett, D. G. (1980). Significant tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606.
Breckler, S.J. (1990). Application of covariance structure modeling in psychology: Cause for concern? Psychological Bulletin, 107, 260-273.
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models. Newsbury Park, CA: Sage.
Bruner II, G. C., & Kumar, A. (2005). Explaining consumer acceptance of handheld Internet device. Journal of Business Research, 58, 553-558.
Burnkrant, R. E., & Page, T. J. (1988). The Structure and Antecedents of the Normative and Attitudinal Components of Fishbein’s Theory of Reasoned Action. Journal of Experimental Social Psychology, 24, 66-87.
Carswell, A. D., & Venkatesh, V. (2002). Learner outcomes in an asynchronous distance education environment. International journal of human-computer studies, 56, 475–494.
Chang, I. C. Li, Y. C. Hung, W. F., & Hwang, H.G. (2005). An empirical study on the impact of quality antecedents on tax payers’ acceptance of Internet tax-filing systems. Government Information Quarterly, 22, 389-410.
Chin, W.W., & Todd, P. (1995). On the Use, Usefulness and Ease of Use of Structural Equation Modeling in MIS Research:A Note of Caution. MIS Quarterly, 19(2), 237-246.
Chu, P. Y., Hsiao,N., Lee, F. W., & Chen, C. W. (2004). Exploring success factors for Taiwan's government electronic tendering system:behavioral perspectives from end users. Government Information Quarterly 21, 219–234.
Compeau, D. R., & Higgins, C.A. (1995). Computer Self-Efficacy:Development of a Measure and Initial Test. MIS Quarterly, 19(2), 189-211.
Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User Acceptance of Computer Technology:A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1002.
Davenport, T. H., Long, D. E., & Beer, M.C.(1998). Successful knowledge Management Projects. Sloan Management Review, 39(2), 43-57.
Deaux, K., Dane F.C., & Wrightsman, L.S. (1997). Social Psychology in the‘90s (楊語芸譯)。台北:五南出版公司。(原書於1993年出版)。
Dillon, A., & Morris, M. G.(1996).User Acceptance of Information Technology:
Theories and Models. Annual Review of Information Science and Technology (ARIST), 31, 3-32.
Fishbein, M., & Ajzen, I.(1975). Beliefs, Attitude, Intentions and Behavior: An Introduction to theory and Research. Addition-Wesley, Boston, MA.
Fornell, C., & Larcker, D. F.(1981). Evaluating Structural Equation Models with Unobervables and Measurement Error. Journal of Marketing Research, 18, 39-50.
Gefen, D., & Straub, D.W.(2000). The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-commerce Adoption. Journal of the Association for Information Systems, 1(8), 1-30.
George, J. F. (2004). The theory of planned behavior and Internet purchasing. Internet Research,14(3), 198–212.
Hahn, J., & Subramani, M.R.(2000). A Framework of Knowledge Management Systems: Issues and Challenges for Theory and Practice. International Conference on Information Systems.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. (1998). Multivariate Data
Analysis. Englewood Cliffs, NJ:Prentice-Hall.
Hartwick, J., & Barki, H. (1994). Explaining the Role of User Participation in Information System Use. Management Science, 40(4), 440-465.
Hu, L ., & Bentler, P. M.(1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives. Structural Equation Modeling, 6(1), 1-55.
Hung, S. Y., & Chang, C. M. (2005). User acceptance of WAP services: test of competing theories.Computer Standards & Interfaces ,27(4), 359–370.
Jyoti,C., & Kumar, D.Y. (June,2004). Analysing the factors of broadband adoption in the household. Proceedings of the 13th European Conference on Information Systems.
Kline, R. B. (1998). Principles and practice of structural equation modeling. New York: The Guilford Presws.
Klobas, J. E., & Clyde, L. A. (2000). Adults Learning to Use the Internet: A Longitudinal Study of Attitudes and Other Factors Associated with Intended Internet Use. Library and Information Science Research, 22(1), 5-34.
Krogh, G. V. (1998). Care in Knowledge Creation. California Management Review 40(3), 133-153.
Lau, A., Yen, J., & Chau, P. Y.K(2001). Adoption of on-line trading in the Hong Kong financial market. Journal of Electronic Commerce Research, 2, (2), 58-65.
Lee, Y. Kozar, K. A ., & Larsen, K. R.T.( 2003). The Technology Acceptance Model: Past, Present, and Future. Communications of the Association for Information Systems, 12, 752-780.
Lee, M. K.O. Cheung, C. M.K., & Chen, Z. (2005). Acceptance of Internet-based learning medium:the role of extrinsic and intrinsic motivation. Information & Management, 42, 1095-1104.
Luarn, P., & Lin, H. H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21, 873-891.
Malhotra, Y., & Galletta, D. F. (1999). Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Bases and Empirical Validation. Paper presented at Proceedings of the 32nd Hawaii International Conference on System Sciences.
Mathieson, K. (1991).Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior. Information Systems Research, 2(3), 173-191.
Money, W., & Turner, A. (2004). Application of the Technology Acceptance Model to a Knowledge Management System. Proceedings of the 37th Hawaii International Conference on System Sciences..
Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2(3), 192-222.
Morris, M. G., & Dillon, A.(1997). The Influence of User Perceptions on Software Utilization: Application and Evaluation of a Theoretical Model of Technology Acceptance.IEEE Software, 14(4), 58-6.
Mylopoulos, J., Chaudhri, V., Plexousakis, D., Shrufi, A., & Topologlou, T. (1996).Building knowledge base management systems. The VLDB Journal, 5(4), 238-263.
Oliver, R. L., & Bearden, W.O. (1985). Crossover Effects In the Theory of Reasoned Action:A Moderating influence Attempt. Journal of Consumer Research, 12, 324-340.
Petrash, G. (1996). Dow’s Journey to a Knowledge Value Management Culture. European Management Journal, 14, 365-373.
Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage:The role of perceived access barriers and demographics. Journal of Business Research, 59, 999-1007.
Quaddus, Q., & Xu, J. (2005). Adoption and Diffusion of Knowledge Management Systems: Field Studies of Factors and Variables. Knowledge-Based Systems, 18, 107-115.
Rawstorne, P., Jayasuriya, R., & Caputi, P.(2000,December). Issues in Prediction and Explaining Usage Behaviors with the Technology Acceptance Model and the Theory of Planned Behavior When Usage is Mandatory. Paper presented at Proceedings of twenty first international conference on Information Systems. Brisbane, Queensland.
Rogers, E.M.(1983). Diffusion of Innovations. New York, NY:The Free Press.
Saade, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning:an extension of the technology acceotabce model. Infromation & Management, 42, 317-327.
Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The Theory of Reasoned Action:A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research. Journal of Consumer Research, 15, 325-343.
Shih, Y. Y., & Fang, K. (2004). The use of a decomposed theory of planned behavior to study Internet banking in Taiwan. Internet Research, 14(3), 213–223.
Staniszkis, W., Leone, N., Rullo, P., Balcerek, L., Śmiałek, M., Litwin, W., Levy, G., Georges, J., Subieta, K., Momotko, M., Depowska, D., Charczuk, J., Piszczewiat, W., Bi, Y., & Bell, D.(2002). ICONS Intelligent Content Management System Project Presentation. Retrieved February 22, 2006, from http://egov.pl/_baza/analizy/icons_presentation.pdf
Tan, M., & Teo, T. S. H. (2000). Factors Influencing the Adoption of Internet Banking. Journal of the Association for Information Systems, 1(5), 1-42.
Taylor, R.S. (1986). Value-Added Processes in Information Systems. Westport. CT: Greenwood.
Taylor, S., & Todd, P.A. (1995a). Decomposition and Cross Effects in the Theory of Planned Behavior: A Study of Consumer Adoption Intentions. International Journal of Research in Marketing, 12(2), 137-155.
Taylor, S., & Todd, P.A.(1995b). Understanding information technology usage:A test of competing models. Information Systems Research, 6(2), 145-176.
Topping, K. (1998). Peer assessment between students in colleges and universities. Review of Educational Research, 68, 249-276.
Venkatesh, V., & Davis, F. D.(2000). A Theoretical Extension of the Technology Acceptance Modes:Four Longitudinal Field Studies. Management Science, 46(2), 186-204.
Venkatesh, V., Morris, M. G., & Ackerman, P. L. (2000). A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes. Organizational Behavior and Human Decision Processes, 83(1), 33–60.
Wiig , K. M. (1997). Knowledge Management:Where Did It Come from and Where Will Go?Expert Systems with Applications, 13(1), 1-14.
Workman, M. (2005).Expert decision support system use, disuse, and misuse: a study using the theory of planned behavior. Computers in Human Behavior, 21, 211–231.
Zain, M., Rose, R. C., Abdullah, I., & Masrom, M. (2005). The relationship between information technology acceptance and organizational agility in Malaysia. Information & Management, 42, 829-839.
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