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研究生: 黃千芳
Chien-fang Huang
論文名稱: 影響教師專業虛擬社群知識分享因素之探究
A study of the influential factors of knowledge sharing in teachers' virtual professional community
指導教授: 陳秀玲
Hsiu-ling Chen
口試委員: 徐式寬
none
蔡孟蓉
none
學位類別: 碩士
Master
系所名稱: 人文社會學院 - 數位學習與教育研究所
Graduate Institute of Digital Learning and Education
論文出版年: 2010
畢業學年度: 98
語文別: 中文
論文頁數: 108
中文關鍵詞: 教師專業虛擬社群知識分享科技接受模式自我效能知識分享動
外文關鍵詞: teachers' virtual professional community
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本研究以科技接受模式為基礎,並加入影響網路知識分享的因素-自我效能、知識分享動機和社群關係,藉此了解影響教師專業虛擬社群知識分享的因素。本研究以思摩特網教師成員為研究母群,採用網路問卷調查法,於2010年3月27日至4月28日間,獲得有效樣本336份。問卷調查結果以描述性統計、信度分析、探索性因素分析、t檢定、單因子變異數分析、卡方檢定、皮爾森積差相關分析和多元迴歸分析等方法進行分析。
教師成員背景變項在各構面的差異性:性別方面,男性教師的自我效能、知識分享動機、社群關係、網路知識分享行為較女性教師高;不同教學年資在科技接受認知信念和社群關係方面具有差異;任教學校和教師類別在各構面則無差異性。
教師成員的科技接受認知信念、自我效能、知識分享動機、社群關係對網路知識分享意願具有顯著影響;自我效能、知識分享動機和社群關係對網路知識分享行為具有顯著影響;網路知識分享意願對網路知識分享行為具有顯著影響;網路知識分享意願對科技接受認知信念、自我效能、知識分享動機、社群關係與網路知識分享行為之關係有中介效果。
最後,藉由本研究之發現與結論,期能提供教育和學校單位之主管機關及未來研究者參考,以促進教師專業虛擬社群之發展。


This research attempted to examine the influential factors of knowledge sharing in teacher’ virtual professional community. Based on the theory of Technology Acceptance Model (TAM), a model involving self-efficacy, knowledge sharing motivation and community relationship was developed. The research utilized the online survey questionnaire and sampled 336 members from SCTNet. The data were analysed by exploratory factor analysis, reliability analysis, descriptive analysis, t-test, one-way ANOVA, Pearson’s product-moment correlation and multiple regression analysis.
The results showed that there were significant differences in gender and teaching experience. Male teachers’ self-efficacy, knowledge sharing motivation, community relationship and knowledge sharing behavior were better than female teachers’. There were significant teaching experience differences in technology acceptance and community relationship.
Furthermore, the study found that technology acceptance, self-efficacy, knowledge sharing motivation and community relationship significantly affected knowledge sharing intention. Self-efficacy, knowledge sharing motivation and community relationship significantly affected knowledge sharing behavior. Knowledge sharing intention significantly affected knowledge sharing behavior. In addition, knowledge sharing intention was a mediating factor between technology acceptance, self-efficacy, knowledge sharing motivation, community relationship and knowledge sharing behavior.
The results of this study would be beneficial to understand the influential factors of knowledge sharing in teachers’ virtual professional community and provide suggestions for educational administrations, schools and future researchers.

中文摘要....................................................I 英文摘要...................................................II 目錄......................................................III 圖目錄......................................................V 表目錄.....................................................VI 第一章 緒論 第一節 研究背景與動機.....................................1 第二節 研究目的...........................................4 第三節 研究問題...........................................5 第四節 名詞釋義...........................................6 第五節 研究範圍與限制.....................................9 第六節 研究重要性........................................10 第二章 文獻探討 第一節 科技接受模式......................................11 第二節 知識分享..........................................16 第三節 虛擬社群..........................................22 第三章 研究方法 第一節 研究架構..........................................25 第二節 研究假設..........................................26 第三節 研究對象與調查方法................................28 第四節 研究工具..........................................30 第五節 資料分析方法......................................39 第四章 資料分析 第一節 樣本分析..........................................42 第二節 信度與效度分析....................................49 第三節 填答樣本現況分析..................................55 第四節 背景變項之差異檢定................................60 第五節 迴歸分析..........................................73 第五章 結論與建議 第一節 討論與結論........................................84 第二節 建議..............................................91 參考文獻...................................................93 附錄 附錄1 正式問卷.........................................103

中文部分
王順民、賴俊帆(2007)。數位學習、網路社群與個人適應-兼論e-learning的人文思
索。2009年12月21日,取自http://www.npf.org.tw/post/2/2701
呂惠甄(2002)。影響教育人員知識分享因素之探究:以思摩特網路社群為例。國立中正
大學教育研究所碩士論文,未出版,中壢市。
吳明隆、涂金堂(2006)。SPSS與統計應用分析。台北:五南圖書。
邱皓政(2007)。量化研究法(二)統計原理與分析技術。台北:雙葉書廊。
高義展(2001)。國民小學教師知識管理、學習型態、專業成長與專業表現關係之研究。
國立高雄師範大學教育學系博士論文,未出版,高雄市。
教育部(2008)。資訊教育執行績效說明。台北:教育部。
陳瑩芝(2008)。以TAM擴充模式探討台北市國民小學教師網路融入教學行為。國立台灣科
技大學技術及職業教育研究所碩士學位論文,未出版,台北市。
張金鐘(2002)。以科技接受模式探討教師與學生採用數位化教材的態度。國立中山大學
資訊管理研究所碩士論文,未出版,高雄市。
張基成(1998)。教師專業成長網路學習社群之規劃及其預期效應與挑戰。教學科技與媒
體,40,31-42。
黃欣儀(2001)。影響中小學教師網路進修使用程度相關因素之研究。國立中山大學資訊
管理研究所碩士論文,未出版,高雄市。
黃勢民(2003)。國民小學教師知識分享及其影響因素之研究。國立台北師範學院教育政
策與管理研究所,未出版,台北市。
饒見維(1999)。九年一貫課程與教師專業發展之配套實施策略。2010年1月9日,取自
http://educ.nchu.edu.tw/xoops/html/modules/xoopsfaq/index.php?cat_id
=5

西文部分
Agarwal, R., & Prasad, J. (1998). The antecedents and consequents of user
perceptions in information technology adoption. Decision Support Systems,
22,15-29.
Ajzen, I. (1985). From intentions to actions: a theory of planned behavior. In
J.Kuhl & J. Beckmann (Eds.), Action-control: From cognition to behavior
(pp. 11-39). Berlin, NY: Springer-Verlag.
Ajzen, I. (1989). Attitudes structure and behavior. In A. R. Pratkanis, S. J. Breckler, & A. G. Greenwald (Eds.), Attitude structure and function (pp. 252).
Hillsdale, NJ: Lawrence Erlbaum Associates.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting
social behavior. Englewood Cliffs, NJ: Prentice-Hall.
Andrews, D., Preece, J., & Turoff, M. (2002). A conceptual framework for
demographic groups resistant to on-line community interaction.
International Journal of Electronic commerce, 6(3), 9–24.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral
change. Psychological Review, 84(2), 191-215.
Bandura, A. (1986). A social foundations of thought and action: A social
cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.
Barab, S. A., MaKinster, J. G., Moor, J. A., Cunningham, D. J., & The ILF
Design Team. (2001). Designing and building an on-line community: The
struggle to support sociability in the inquiry learning forum. Educational
Technology, Research and Development, 49, 71–96.
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable
distinction in social psychological research: Conceptual, strategic, and
statistical consideration. Journal of Personality and Social Psychology,
51, 1173-1182.
Blau, P. M., (1964). Exchange and power in social life. New York: John Wiley
and Sons.
Bock, G.W., & Kim, Y.G. (2002). Breaking the myths of rewards: An exploratory
study of attitudes about knowledge sharing. Information Resources
Management Journal, 15(2), 14-21.
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.
Carroll, J. M., Choo, C. W., Dunlap, D. R., Isenhour, P. L., Kerr, S. T.,
MacLean, A., et al. (2003). Knowledge management support for teachers.
Educational Technology, Research and Development, 51(4), 42–64.
Carroll, J. M., Rosson, M. B., Dunlap, D., & Isenhour, P. (2005). Frameworks
for sharing teaching practices. Educational Technology & Society, 8 (3),
162-175.
Chen, I. Y. L., Chen, N.-S., & Kinshuk. (2009). Examining the factors
influencing participants' knowledge sharing behavior in virtual learning
communities. Journal of Educational Technology & Society, 12(1), 134-148.
Cheung, W., & Huang, W. (2005). Proposing a framework to assess internet usage
in university education: An empirical investigation from a student’s
perspective. British Journal of Educational Technology, 36(2), 237–253.
Chiu, C. M., Hsu, M. H., & Wang, E. T. G. (2006). Understanding knowledge
sharing in virtual communities: An integration of social capital and
social cognitive theories. Decision Support Systems, 42, 1872-1888.
Clary, E. G., Snyder, M., Ridge, R. D., Copeland, J., Stukas, A. A., Haugen,
J., & Miene, P. (1998). Understanding and assessing the motivations of
volunteers: A functional approach. Journal of Personality and Social
Psychology, 74 (6), 1516-1530.
Cohen, J. (1988). Statistical power analysis for the behavior sciences (2nd
ed.). Hillsdale, NJ: Eribaum.
Dalgarno, N., & Colgan, L. (2007). Supporting novice elementary mathematics
teachers' induction in professional communities and providing innovative
forms of pedagogical content knowledge development through information and
communication technology. Teaching and Teacher Education, 23, 1051-1065.
Davenport, T. H., & Prusak, L. (1998). Working knowledge: How organizations
manage what they know. Boston: Harvard Business School Press.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user
acceptance of information technology. MIS Quarterly, 13(3), 319-340.
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), 982–1003.
Deci, E.L. (1975) Intrinsic motivation. Plenum Press, New York, NY.
Dholakia, U. M., Bagozzi, R. P., & Pearo, L. K. (2004). A social influence
model of consumer participation in network- and small-groupbased virtual
communities. International Journal of Research in Marketing, 21(3), 241–
263.
Fernback, J. (1999). There is a there: Notes toward a definition of cyber-
community.In S. G. Jones (Ed.), Doing internet research: Critical issues
and methods for examine the net (pp. 203–220). Thousand Oaks, CA: Sage
Publications.
Fu, J. R., Farn, C. K., & Chao, W. P. (2006). Acceptance of electronic tax
filing: A study of taxpayer intentions. Information & Management, 43(1),
109-126.
Gao, Y. (2005). Applying the technology acceptance model (TAM) to educational
hypermedia: A field study. Journal of Educational Multimedia and
Hypermedia, 14(3), 237-247.
Gongla, P., & Rizzuto, C. R. (2001). Evolving communities of practice. IBM
global services experience. IBM Systems Journal, 40(4), 842–862.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995).
Multivariate data analysis with readings. Prentice-Hall, Englewood Cliffs,
NJ.
Harwick, J., & Barki, H. (1994). Explaining the role of user participation in
information system use. Management Science, 40(4), 440-465.
Hendriks, P. H. J. (1999). Why share knowledge? The influence of ICT on
motivation for knowledge sharing. knowledge and process management, 6(2),
91-100.
Hew, K. F., & Hara, N. (2007). Empirical study of motivators and barriers of
teacher online knowledge sharing. Education Tech Research Dev, 55, 573-
595.
Hiltz, S. R., & Wellman, B. (1997). Asynchronous learning networks as a
virtual classroom. Communications of ACM, 40(9), 44–49.
Hou, H. T., Sung, Y. T., & Chang, K. E. (2009). Exploring the behavioral
patterns of an online knowledge-sharing discussion activity among teachers
with problem-solving strategy. Teaching and Teacher Education, 25, 101-108.
Hsu, C. L., & Lin, J. C. C. (2008). Acceptance of blog usage: The roles of
technology acceptance, social influence and knowledge sharing motivation.
Information & Management, 45, 65-74.
Hsu, M. H., Ju, T. L., Yen, C. H., & Chang, C. M. (2007). Knowledge sharing
behavior in virtual communities: The relationship between trust, self-
efficacy, and outcome expectations. International journal of Human-
Computer Studies, 65, 153-169.
Hu, P. J. H., Clark, T. H. K., & Ma, W. W. (2003). Examining technology
acceptance by school teachers: A longitudinal study. Information &
Management 41, 227-241.
Inbaria, M., Shayo, C., & Olfman, L. (1999). On becoming virtual: The driving
forces and arrangements. Proceddings of SIGCPR, 99, New Orleans LA USA,
pp. 27-41.
Jackson, L. A., Ervin, K. S., Gardner, P. D., & Schmitt, N. (2001). Gender and
the Internet: Women communicating and men searching. Sex Roles, 44, 363–
379.
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31-
36.
Kankanhalli, A., Tan, B. C. Y., & Wei, K. K. (2005). Contributing knowledge to
electronic knowledge repositories: An empirical investigation. MIS
Quarterly, 29(1), 113-143.
Katzy, B. R., & Ma, X. (2002). Virtual professional communities - definitions
and typology. Paper presented at the The 8th International Conference on
Concurrent Enterprising, Rome.
Kreitner, R., & Kinicki, A. (2008). Organizational behavior. (8th ed.). New
York: McGraw-Hill Irwin.
Lam, J.C.Y. & Lee, M.K.O. (2006). Digital inclusiveness: Longitudinal study of
internet adoption by older adults. Journal of Management Information
Systems, 22(4), 177-206.
Lee, C. K., & Al-Hawamdeh, S. (2002). Factors impacting knowledge sharing.
Journal of Information & Knowledge Management, 1(1), 49-56.
Lee, F. S., Vogel, D., & Limayem, M. (2003). Virtual community informatics: A
review and research agenda. Journal of Information Technology Theory and
Application, 5(1), 47–61.
Lee, H., & Choi, B. (2003). Knowledge management enablers, processes, and
organizational performance: An integrative view and empirical examination.
Journal of Management Information Systems, 20 (1), 179-228.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information
technology? A critical review of the technology acceptance model.
Information and Management, 40, 191-204.
Leonard, D., & Sensiper, S. (1998) The role of tacit knowledge in group
innovation. California Management Review, 40(3), 112-132.
Lin, F. R., Lin, S. C., & Huang, T. P. (2008). Knowledge sharing and creation
in a teachers' professional virtual community. Computers & Education 50,
742-756.
Lin, M. J. J., Hung, S. W., & Chen, C. J. (2009). Fostering the determinants
of knowledge sharing in professional virtual communities. Computers in
Human Behavior, 25, 929-939.
Louis, S., Marks, H., & Kruse, S. (1996). Teachers’ professional community in
restructuring schools. American Educational Research Journal, 33(4), 757-
798.
Ma, W. W. k., Anderssonw, R., & Streithw, K. O. (2005). Examining user
acceptance of computer technology: An empirical study of student teachers.
Journal of Computer Assisted Learning, 21, 387-395.
Mahdizadeh, H., Biemans, H., & Mulder, M. (2008). Determining factors of the
use of e-learning environments by university teachers. Computers &
Education, 51, 142-154.
Maslow, A. (1954). Motivation and personality. New York: Harper.
Mathieson, K. (1991). Predicting user intentions: Comparing the Technology
acceptance model with the theory of planned behavior. Information System
Research, 2(3), 173-191.
Mcllroy, D., Bunting, B., Tierney, K., & Gordon, M. (2001). The relation of
gender and background experience to self-reported computing anxiety and
cognitions. Computers in Human Behavior, 17, 21–33.
Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a world-wide-web
context. Information & Management, 38, 217-230.
Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and
the organizational advantage. The Academy of Management Review, 23(2),
242-266.
Pavlou, P.A., & Fygenson, M. (2006). Understanding and Predicting Electronic
Commerce Adoption: An Extension of the Theory of Planned Behavior. MIS
Quarterly, 30 (1), 115-143.
Rheingold, H. (1993) The Virtual Community: Homesteading on the Electronic
Frontier. HaperPerennial, New York.
Ridings, C., Gefen, D., & Arinze, B. (2002). Some antecedents and effects of
trust in virtual communities. Journal of Strategic Information Systems, 11
(3–4), 271-295.
Schlager, M. S., & Fusco, J. (2003). Teacher professional development,
technology, and communities of practice: Are we putting the cart before
the horse? The Information Society, 19, 203-220.
Schwoerer, C.E., May, D.R., Hollensbe, E.C., & Mencl, J. (2005). General and
specific self-efficacy in the context of a training intervention to
enhance performance Expectancy. Human Resource Development Quarterly, 16
(1), 111-129.
Selim, H. M. (2003). An empirical investigation of student acceptance of
course websites. Computers & Education, 40, 343-360.
Senge P. (1997). Sharing knowledge: the leader’s role is key to a learning
culture. Executive Excellence, 4(11), 17–18.
Sing, C. C., & Khine, M. S. (2006). An analysis of interaction and
participation patterns in online community. Educational Technology &
Society, 9(1), 250-261.
Tampoe, M. (1993). Motivation knowledge worker—the challenge for the 1990s
in the Myers. Long Range Planning, 26(3), 49-55.
Teo, T. (2008). Assessing the computer attitudes of students: An Asian
perspective. Computers in Human Behavior, 24, 1634-1642.
Teo, T. (2009). Modelling technology acceptance in education: A study of pre-
service teachers. Computers & Education, 52, 302-312.
Teo, T., Lee, C. B., & Chai, C. S. (2008). Understanding pre-service teachers'
computer attitudes: Applying and extending the technology acceptance
model. Journal of Computer Assisted Learning 24, 128-143.
Todman, J. (2000). Gender differences in computer anxiety among university
entrants since 1992. Computers and Education, 34, 27–35.
Tyack, D., & Cuban, L. (1995). Tinkering toward utopia: A century of public
school reform. Cambridge, MA: Harvard University Press.
Yoo, W. S., Suh, K. S., & Lee, M. B. (2002). Exploring factors enhancing
member participation in virtual communities. Journal of Global Information
Management ,10(3) 55–71.
Yuen, A. H. K., & Ma, W. W. K. (2008). Exploring teacher acceptance of e-
learning technology. Asia-Pacific Journal of Teacher Education, 36(3), 229-
243.
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), 342-365.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the
technology acceptance model: Four longitudinal field studies. Management
Science, 46(2), 186-204.
Wasko, M. M., & Faraj, S. (2000). It is what one does: why people participate
and help others in electronic communities of practice. Journal of
Strategic Information Systems, 9, 155-173.
Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital
and knowledge contribution in electronic networks of practice. MIS
Quarterly, 29(1), 35-57.
Wenger, E., McDermott, R., & Snyder, W.M. (2002). Cultivating communities of
Practice: A guide to managing knowledge. Boston: Harvard Business School
Press.
Wijnhoven, F. (1998) Knowledge logistics in business contexts: Analyzing and
diagnosing knowledge sharing by logistics concepts. Knowledge and Process
Management, 5, 143-157.
Zhang, Y. & Hiltz, S.R. ( 2003) Factors that influence online relationship
development in a knowledge sharing community, Proceedings of the Ninth
American Conference on Information Systems.

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