跳到主要內容

臺灣博碩士論文加值系統

(18.97.14.82) 您好!臺灣時間:2024/12/11 20:59
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:黃秋雲
研究生(外文):Chiu-yun Huang
論文名稱:探討社群成員持續知識創造之研究:以兩岸資訊交換社群為例
論文名稱(外文):A study of investigate to members of communities'' continuance knowledge creation : A case in communities of information exchange in Taiwan and China.
指導教授:周斯畏周斯畏引用關係
指導教授(外文):Shih-Wei Chou
學位類別:碩士
校院名稱:國立高雄第一科技大學
系所名稱:資訊管理所
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:中文
論文頁數:76
中文關鍵詞:持續知識創造意圖自我驗證知覺身分驗證溝通品質關係資產
外文關鍵詞:Continuance intention of knowledge creation、Per
相關次數:
  • 被引用被引用:0
  • 點閱點閱:337
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
資訊交換社群已是現代人取得知識與進行交流的重要途徑之ㄧ,過去社群的知識相關研究多屬知識貢獻、分享與交換,本研究延伸期望確認理論(Expectation-Confirmation theory)與自我驗證理論(Self-verification theory)中的自我身分驗證之觀點,藉以找出影響社群成員持續進行持續知識創造之因素,為了驗證理論模式,本研究挑選兩岸資訊交換社群為研究案例,分別為中國的「百度知道」與台灣的「Yahoo!知識+」,本研究透過網路問卷取得中國213份與台灣236份有效問卷。研究結果顯示,本研究所提的知覺身分驗證、溝通品質對中國社群成員的持續知識創造意圖有顯著且正面影響;台灣則是溝通品質與滿意度分別對持續知識創造意圖有顯著影響;此外,無論台灣或中國,溝通品質在知覺身分驗證對持續知識創造意圖影響上都扮演著中介的角色,並且在不同的關係資產情境中,兩岸社群成員的持續知識創造意圖亦有所不同。透過本研究模型可作為未來學者研究社群中的知識創造,與企業發展專業資訊交換社群促進員工產生持續知識創造意圖之參考。
An information exchange community is a vital channel through which people can access knowledge and communicate with each other. Prior studies in knowledge management contexts in e-communities focused on knowledge contribution, knowledge transfer or knowledge sharing among individuals, however, most of them failed to evaluate participant’s intention to continue creating knowledge in information exchange communities. The purpose of this study intends to construct an integrated model to explore the factors that affect individuals’ intention to continue creating knowledge based on expectation-confirmation (ECT) and self-verification theory. In order to test this model, data were collected via an online questionnaire, 213 were from Baidu China; 236 were from Yahoo Answers Taiwan. The empirical findings showed that, first, as for Communication Quality and satisfaction, there was a significant difference between Baidu Chain and Yahoo Answers Taiwan. For Baidu China, identity verification and Communication Quality have a significant positive impact on the intention to continue creating knowledge of members; in contrast, Communication Quality and satisfaction have a significant positive impact on the intention to continue creating knowledge of Yahoo Answers Taiwan members. Second, as far as the communities’ members are concerned, both China and Taiwan, Communication Quality as a key mediator do affect perceived identity verification and satisfaction. In various relationship asset contexts, furthermore, there was a significant difference in the intention to continue creating knowledge between the members in China and Taiwan. This paper provides a model to understand the factors that affect individuals’ intention to continue creating knowledge in information exchange communities and helps managers of online virtual communities stimulate knowledge creating in e-communities.
目錄
摘要 I
ABSTRACT II
誌謝 III
表目錄 VI
圖目錄 VII
壹、 緒論 1
第一節、研究背景 1
第二節、研究動機與目的 2
第三節、研究步驟與流程 3
貳、 文獻探討 5
第一節、持續知識創造意圖(Continuity intention of Knowledge Creation) 5
(一) 知識創造 5
(二) 持續知識創造意圖 7
第二節、期望確認理論(Expectation Confirmation Theory; ECT) 8
第三節、自我驗證理論(Self-Verification Theory) 11
(一)知覺身分驗證(Perceived Identity Verification) 12
第四節、溝通品質(Commication Quality) 13
第五節、關係資產 14
參、 研究架構與方法 18
第一節、研究架構 18
第二節、研究假說 18
(一) 滿意度與持續知識意圖 18
(二) 知覺身份驗證與持續知識創造意圖 19
(三) 溝通品質 20
(五) 關係資產對知覺身分驗證對持續使用意圖的影響 21
肆、 研究設計 22
第一節、操作型定義 22
第二節、問卷設計 23
(一) 問項設計與前側 23
(二) 避免共同方法變異CMV(Common Method Variance) 24
第三節、資料收集 27
第四節、分析工具 27
伍、 資料分析 28
第一節、樣本敘述統計 28
第二節、同質性檢定 30
(一) 外部效度 30
(二) 資歷(參與社群時間)之同質性檢定 31
第三節、信效度分析 31
第四節、假說驗證 33
(一) 中國百度知道 33
(二) 台灣Yahoo!知識+ 34
第五節、相關研究分析 35
(ㄧ) 干擾分析:以承諾與互惠性為干擾 35
(二) 中介分析 41
六、研究假說驗證結果 42
陸、 討論與結論 44
第一節、研究討論 44
第二節、管理與實務意涵 45
第三節、研究限制 46
第四節、未來發展 46
參考文獻 48
附錄一、驗證性因素分析 53
附錄二、效度分析 55
附錄三、近年應用於資訊系統情境之ECT(EDT)相關研究 57
附錄四、研究問卷 64


表目錄
表 1 知識策略和關鍵意涵 6
表 2 近年關係資產之研究 16
表 3 構面的定義 22
表 4 研究構面操作化定義與問項彙整表 25
表 5 中國與台灣樣本特性分布資料表 29
表 6 外部效度之K-S檢定結果 30
表 7 資歷之K-S檢定結果 31
表 8 驗證因素分析 32
表 9 信度、AVE與區別效度表 33
表 10 中國與台灣全樣本路徑係數、分群路徑係數之比較 40
表 11 中國與台灣中介驗證 42
表 12 假說檢定之結果 43

圖目錄
圖 1 研究流程圖 4
圖 2 知識管理程序的預期適配 6
圖 3 期望確認理論 8
圖 4 IS接受模後持續使用模式 11
圖 5 自我驗證流程 11
圖 6 假說架構 18
圖 7 中國PLS全樣本分析圖(N=213) 34
圖 8 台灣Yahoo!知識+PLS全樣本分析圖(N=236) 35
圖 9 中國承諾高低群路徑分析圖 37
圖 10 中國互惠性高低群路徑分析圖 37
圖 11 台灣承諾高低群路徑分析圖 38
圖 12 台灣互惠性高低群路徑分析圖 38
圖 13 溝通品質中介之驗證 41
參考文獻
中文
[1]Shelley E. Taylor、 Letitia Anne Peplau、 David O. Sears合著,張滿玲譯2006,社會心理學。台北,雙葉書廊。
[2]Elliot Aronson, Timothy D. Wilson, Robin M. Akert合著,余伯泉、李茂興譯,2003,社會心理學”,台北,弘智出版社。
[3]彭台光、高月慈與林鉦棽,2006, “管理研究中的共同方法變異:問題本質、影響、測試和補救”,管理學報,23眷,1期,pp.77-98。
英文
[1]Ahuja and Thatcher, 2005, “Moving Beyond Intentions and Toward the Theory of Trying: Effrcts of Work Environment and Gener on Post-Adoption Information Technology Use,” MIS Quarterly, Vol.29, No.3, pp: 427-459.
[2]Alavi, M., and Leidner, D., 2001, “Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundation and Research Issues,” MIS Quarterly, Vol.25, No.1, pp.107-136.
[3]Barav, S.A., 2003, “An Introduction to The Special Issue: Designing for Virtual Communities in The Service of Learning,” The Information Society, Vol.19, pp.197-201.
[4]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, Vol.51, No.6, pp.1173-1182.
[5]Bearden, W.O., and Teel, J.E., 1983, “Selected Determainants of Consumer Satisfaction and Complaint Repoets,” Journal of Mangement Research, Vol.20, No.1, pp.21-29.
[6]Becerra-Fernandez, I., and Sabherwal, R., 2001, “Organizational Knowledge Management Systems: A Contingency Perspective,” Journal of MIS, Vol.18, No.1, pp.23-55.
[7]Bhattacherjee, A., and Premkumar, G., 2004, “Understanding Changes in Belief and Attitude Toward Informaiton Technology Usage: A theoretical Model and Longitudinal Test.” MIS Quarterly, Vol.28, No.2, pp: 229-254.
[8]Bhattacherjee, A., “Understanding Information Systems Continuance: An Expectation Confirmation Model,” MIS Quarterly (25:3)2001a, pp.139-158.
[9]Bhattacherjee, A., “An Empirical Analysis of the Antecedents of Electronic Commerce Service Continuance,” Decision Support System, Vol.32, pp.201-214.
[10]Bock, G.W., Zmud, R. W., Kim, Y.G., and Lee, J. N., 2005, “Behavioral Intention Formation in Knowledge Sharong: Examining the Roles of Extrinsic Motivators, Social-Psychological Forces, and Organizational Climate,” MIS Quarterly, Vol.29, No.1, pp.87-108.
[11]Bressler, S.E., and Grantham, C.E., 2000, “Communities of Commerce,” New York: McGraw-Hill.
[12]Brown, J.S., and Duguid, P., 2000, “The Social Life of Information,” Harvard Business School Press, Boston.
[13]Cable, D. M., T. A. Judge, 1996, “Person-Organization Fit, Job Choice Decisions, and Organizational Entry,” Organ. Behav. Human Decision Processes, Vol.67, No.3, pp.294-311.
[14]Chang, A.H., Kannan, P.K., and Whinston, A.B., 1999, “Electronic Communities as Intermediaries: the Issues and Economics,” Proceeding of the 32nd Hawaii International Conference on System Sciences, pp.1-10.
[15]Chen, S., K. Chen, L. Shaw, 2004, “Self-Verification Motives at the Collective Level of Self-Definition.” J. Personality Soc. Psych, Vol.86, No.1, pp: 77-94.
[16]Chiu, C.-M., M.-H. Hsu, E.T.G. Wang, 2006, “Understanding Knowledge Sharing in Virtual Communities: An Integration of Social Capital and Cognitive Theories,” Decision Support Systems, Vol.42, Vol.3, pp.1872-1888.
[17]Choi, B., and Lee, H., 2003, “An Empirical Investigation of KM Styles and Their Effect of Corporate Performance,” Information & Management, Vol.40, No.5, pp.403-417.
[18]Cote, J.A., and Buckley, M.R., 1988, “Measurement Error and Theory Testing in Consumer Research: An Illustration of the Importance of Construct Validation,” Journal of Consumer Research, Vol.14, pp.579-582.
[19]Cyr, D., 2008, “Modeling Web Site Design Across Cutures: Relationships to Trust, Satisafaction, and E-Loyalty,” Journal of Management Information Systems, Vol.24, No.4, pp.47-72.
[20]Dwyer, F. R., Schurr H. P., and Oh, S., 1981, “Developing Buyer-seller relationships.” Journal of Marketing, (51:2) 1987,pp: 11-27.
[21]Fornell, C. and Larcker, D.F., 1997, “Evaluating Structural Equation Model with Unobservables and Measurement Error.” Journal of Marketing Research, Vol.18, pp.30-50.
[22]Gefen, D., Straub, D.w., and Boudreau, M.C., 2000, “Structural Equation Modeling and Regression: Guidelines for Research Practice,” Communicaitons of the AIS, Vol.4, No.7, pp.2-77.
[23]Grant, R.M., 1996, “Toward a Knowledge-based Theory of The Firm,” Strategic Management Journal, Vol.17, No.10, pp.109-122.
[24]Gefen, D., and Straub, D.W., 2000, “Gender Differneces in The Perce[tion and Use of E-Mail: An Extentsion to The Technology Acceptance Model,” MIS Quarterly, Vol.21, No.4, pp.389-400.
[25]Granovetter, M. S., 1992,“Problems of Explanation in Economic Sociology,” In N. Nohria and R. Eccles(Eds.), Networks and Organizations: Structure, Form, and Action, Boston: Harvard Business School Press,pp.25-26.
[26]Hagel, J. III, and Anderson, A. M., 1997, “Net gain: Expanding Markets Through Virtual Communities,” Boston: HBS Press.
[27]Hari, J.E., Anderson, R.E., Tatham, R. L., and Black, W. C., 1998, Multivariate data analysis (5thed.)., Englewood Cliffs, NJ: Prentice-Hall.
[28]Heeseok, L., and Byounggu, C., 2003, “Knowledge Management Enablers, Processes, and Organizational Performance: An Integrative View and Empirical Examination,” Journal of Management Information Systems, Vol.20, No.1, pp.179-228.
[29]Hong, Y., G. Ip, C. Chiu, M. W. Morris, T. Menon, 2001, “Cultural identity and dynamic construction of the self: Collective duties and individual rights in Chinese and American Cultures.” Soc. Cognition, Vol.19, No.3, pp.251-268.
[30]Hsu, M.H., Ju, T.L., Yen, C.H., and Chang, C.M., 2007, “Knowledge Sharing behavior in Virtual Communoities: The Relationship between trust, Self-efficacy, and Outcome Expectations.” Int. J. Human-Computer Studies, Vol.65, No.2,pp.153-169.
[31]Hsu, M.H., Yen, C.H., Chiu, C.M., and Chang, C.M., 2006, “A Longitudinal investigation of Continued Online Shopping Behavior: An Extension of The Theory of Planned Behavior.” Int. J. Human-Computer Studies, Vol.64, No.9, pp.889-904.
[32]Irma, B.F., and Rajiv, S., 2001, “Organizational Knowledge Management: A Contingency Perspective,” Journal of Management Information Systems, Vol.18, No.1, pp.23-55.
[33]Jablin, F.M., Putnam, L.L., Roberts, K.H., and Porter, L.W., 1987. “Handbook of Organizational Communication.” Newbury park, CA: Sage.
[34]Jacobs, J., Oct 2000, “Successful Community Creates Bond with Users,” Business Times 11, Vol.5.
[35]Joshi, K.D., Sarker, S., and Sarker, S., 2007, “Knowledge Transfer Within Information Systems Development Teams: Examining The Role of knowledge Source Attributes,” Decision Support Systems, Vol.43, No.3,pp.322-335.
[36]Kankanhalli, A., B. Tan, K.K-. Wei, 2005, “Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation,” MIS Quarterly, Vol.29, No.1, pp.113-143.
[37]Ko, G. G., Kirsch, L. J., and King, W.R., 2005, “Antecedents of Knowledge Transfer from Consultants to Clients in Enterprise System Implementations, ” MIS Quarterly, Vol.29, No.1, pp.59-85.
[38]Kozinets, R. V., 1999, “E-tribalized Marketing? The Strategic Implications of Virtual Communities of Consumption,” European Mangement Journal, Vol.17, No.3, pp.252-264.
[39]Kuhn, M.H., T. S. McPartland, 1954 “An empirical investigation of self-attitudes.” Amer. Social . Rev., Vol.19, No.1, pp.68-76.
[40]Law, C.C.H., and Ngai, E.W.T., 2007, “ERP system adoption: An exploratory study of the organizational factors and impacts of ERP success.” Information & Management, Vol.44, No.3, pp.418-432.
[41]Lee, F.S., Vogel, D., and Limayem, M., 2003, “Virtual Community Informations: a Review and Research Adenda,” Journal of Information Technology Theory and Application, Vol.5, No.1, pp.47-51.
[42]Lin, C.S., Wu, S. and Tsai, R. J., 2005, “Integrating Perceived Playfulness into Expectation- Confirmation Model for Web Portal Context,” Information & Management, Vol.42, No.5, pp.683-693.
[43]Ma M.and Agarwal R., 2007, “Through a Glass Darkly: Information Technology Design, Identity Verification, and Knowledge Contribution in Online Communities.” Information Systems Research, Vol.18, No.1, pp:42-67.
[44]Matz, D.C., W. Wood, 2005, “Cognitive Dissonance in Groups: The Consequences of Disagreement,” J. Personality Soc. Psych, Vol.88, No.1, pp.22-37.
[45]Newell, A. and Simon, H. A., 1976, “Computer science as empirical enquiry,” Communications of the ACM, Vol.19, pp.113-126.
[46]Nevin, J., 1995, “Relationship marketing and distribution channels: Exploring fundamental issues.” Journal of the Academy of Marketing Science, Vol.23, No.3, pp: 334-337.
[47]Nonaka, I., 1994, “A Dynamic Theory of Organiztional Knowkedge Creation,” Oraganization Science, Vol. 5, No.1, pp:14-35.
[48]Oliver, R.L., Shapiro, F., 1993, “Self-Efficacy and Computers,” Journal of Computer Based Interactions, Vol.20, pp.81-85.
[49]Oliver, R.L., Bearden, W.O., 1985, “Crossover Effects in The Theory of Reasoned Action,” Journal of Consumer Research, Vol.12, pp.324-340.
[50]Oliver, R.L., 1980, “A Cognitive Model for The Antecedents and Consequences of Satisfaction, ” Journal of Marketing Research, Vol.17, pp.21-33.
[51]Patterson, P.G., Johnson, L.W., Spreng, R.A., 1997, “Modeling The Determinants of Customer Satisfaction for Business-to-Business Professional Services,” Journal of the Academy of Marketing Science, Vol.25, No.1, pp.4-17.
[52]Panteli, N., and Sockalingam, S., 2005, “Trust and Conflict within Virtual Inter-organizational Alliances: A Framework for Facilitating Knowledge Sharing,” Decision Support Systems, Vol.39, No.4, pp.599-617.
[53]Pavlou, P.A., and Fygenson, M., 2006, “Understanding and Predicting Electronic Commerce Adoption: An Extension of The Theory of Planned Behavior,” MIS Quarterly, Vol.30, No.1, pp.115-143.
[54]Podsakoff, P.M., MacKenzie, S.B., Lee., J.Y., and Posakoff, N.P., 2003, “Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies,” Journal of Applied Psychology, Vol.88, No.5, pp.879-903.
[55]Preece, J, Nonnecke, B and Andrews, D, 2004, “The top five reasons for lurking: improving community experiences for everyone,” Computers in Human Behaviour, Vol. 20, pp 201-223.
[56]Ridings, C.M., Gefen, D., and Arinze, B., 2002, “Some Antecedents And Effects of Trust in Virtual Communities,” Journal of Strategic Information Systems, Vol.11, No.4, pp.271-295.
[57]Rudolph, F.V., and Kathleen S.V., “Inter-Act Using Interpersonal Communication Skills,” Wadsworth, Division of International Thomson Publishing Inc, 1995.
[58]Sedera, D., and Gable, G., 2006, “Identifying The Knowledge Management Structures in Enterprise Systems Projects,” The Tenth Pacific Asia Conference on Information Systems (PACIS 2006).
[59]Spreng, R.A., Mackenzie, S.B., OLshavsky, R.W., 1996, “Re-Examination of the Determinants of Consumer Satisfaction,” Journal of Marketing, Vol.60, July, pp.15-32.
[60]Swann, W.B., J. T. Polzer, D.C.Seyle, S. J. Ko., 2004, “Finding Value in Diversity: Verification of Personal and Social Self-View in Diverse Groups,” Acad. Management Rev., Vol.29, No.1, pp.9-27.
[61]Swann, W.B. Jr., Rentfrow P. J., Guinn J., 2002, “Self-Verification: The Search for Coherence,” In: M. Leary, J Tagney ed. Handbook of self and identity, Guilford, New York.
[62]Swann, W. B., L. P. Milton, J.T. Polzer, 2000, “Should We Create a Niche or Fall in Line? Identity Negotiation and Small Group Effectiveness.” J. Personality Soc. Psych, Vol.79, No.2, pp:238-250.
[63]Swann, W.B., B. W. PeIham, D.S. Krull, 1989, “Agreeable Fancy or Disagreeable Truth? Reconciling Self-Enhancement and Self-Verification,” J. Personality Soc. Psych, Vol.62, No.3, pp:392-401.
[64]SwannW B Jr,P elham B W,Krull,D S., 1989,“Agreeab le fancy or disagreeable truth? Reconciling self-enhancement and selfverification,” Journal of Personality and Social Psychology, Vol.57, No.5, pp.782-91
[65]Swan, J.E., Trawick, I.F., 1981, “Disconfirmation of Expectations and Satisfaction With a Retail Service,” Jurnal of Retailing, Vol.57, pp.49-67.
[66]Tabahnick, B. G..,& Fidell, L.S., 2007, Using Multivariate Statistics (5thed.), Needham Heights, MA: Allyn and Bacon.
[67]Thomas-Hunt, M. C., T. Y. Ogden, M. A. Neale, 2003, “Who’s Really Sharing? Effects of Social and Expert Status on Knowledge Exchange Within Groups,” Mangement Sci., Vol.49, No.3, pp: 464-477.
[68]Tse, D.K., Wilton, P.C., 1988, “Models of Consumer Satisfaction: An Extension,” Journal of Marketing Research, Vol.25, pp.204-212.
[69]Wasko, M.M. and Faraj, S., 2000, “It Is What One Does: Why People Participate and Help Others In Electronic Communities of Practice,” Journal of Strategic Information Systems, Vol.9, No.2, pp:155-173.
[70]Wasko, M.M. and Faraj, S., 2005, “Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice,” MIS Quarterly, Vol.27, No.3, pp.425-478.
[71]Whittaker, S., L. Terveen, W. Hill, L. Cherny, 1998, “The Dynamics of Mass Interaction,” ACM Conf. Computer. Supported Cooperative Work, Seattle, WA, pp.257-264.
[72]Willams, L.J., &Brown, B.K., 1994, “Method Variance in Organizational Behavior and Human Resources Research: Effects on Correlations, Path Coefficients, and Hypothesis Testing,” Organizational Bhavior and Human Decision Processes, Vol.57, pp.185-209.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top