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系統識別號 U0002-0407201022562100
中文論文名稱 整合社會臨場感與網路人際關係觀點下的虛擬社群
英文論文名稱 A study of virtual community:The integrated perspective of social presence and online social network
校院名稱 淡江大學
系所名稱(中) 企業管理學系碩士班
系所名稱(英) Department of Business Administration
學年度 98
學期 2
出版年 99
研究生中文姓名 李秉軒
研究生英文姓名 Bin-Hsuan Lee
學號 697610441
學位類別 碩士
語文別 中文
口試日期 2010-06-10
論文頁數 82頁
口試委員 指導教授-李月華
委員-鄭明松
委員-張瑋倫
中文關鍵字 虛擬社群  社會臨場感  網路人際關係  結構方程模式(SEM) 
英文關鍵字 Virtual community  Social presence  Online social network  Structure equation modeling(SEM) 
學科別分類 學科別社會科學管理學
中文摘要 在Web2.0時代下,虛擬社群於近年來快速而蓬勃地發展,依創市際市調公司調查(2009),虛擬社群已相當普遍,且其使用時間有逐漸增加的趨勢,顯示網路已是最具影響力的媒體之一,相信在此驅勢下,未來虛擬社群將成為各企業網路行銷之重點。目前在虛擬社群相關研究中,多集中於知識分享與成員間的信任關係,另過去研究顯示社會臨場感對虛擬社群具正面作用,故本研究整合社會臨場感與網路人際關係之觀點探討虛擬社群。
  研究中以網路問卷取得資料,前測以Yahoo奇摩家族、Facebook社團與ptt實業坊為研究對象,以初步了解因素結構,而正式研究中考量客觀性問題,選定以「遊戲基地Gamebase」為研究對象,並由Amos以結構方程模式(SEM)進行資料分析,共計有效樣本數509位,並依社群類型作出興趣型、人際關係型、幻想型與交易型的分群比較。
經分析後,台灣虛擬社群使用者集中於19-28歲,其使用動機包含「獲取資訊」與「人際互動」,網路人際關係因素為「信任感」與「對等性」,而社會臨場感因素為「有效達意」與「建立關係」,研究發現不同的使用動機會重視不同的社會臨場感因素,而「對等性」是成員間「建立關係」之基礎,另唯有「建立關係」的成員才具有忠誠性,研究中亦作出社群類型的分類討論與後續研究建議。
英文摘要 Virtual community has rapidly develop in recent years under Web 2.0 . According to market research company survey, Virtual community is very popular in Taiwan, and the using time is getting more and more increasing. The internet is one of the mostly influence media in Taiwan now. Overall, we believe that virtual community will be a priority in the marketing. Most research in virtual community focuse on knowledge sharing and the trust between members. Moreover, the research also suggests that social presence is benefit virtual community, so we want to integrate social presence and online social network to survey virtual community .
In pretest, Data collected from Yahoo, Facebook, ptt by online survey in order to confirm factor structure first, and data collected from Gamebase in formal study. In total, there are 507 samples in research, All data were used in structure equation modeling(SEM)and make multiple teams comparison.
The results show the most virtual community member in Taiwan is 19 to 20 years old, the factors of Using motive include finding information and interpersonal interconnectivity, the factors of Online social network include interpersonal trust and reciprocity, and the factors of Social presence include effective communication and establish relationship. Moreover, The research find that the different Using motive factor is influence different Social presence factor, the reciprocity is the base of establish relationship, and establish relationship can positive influence Member loyalty, multiple teams comparison and suggestion on following research of my study are discussed.
論文目次 第一章 緒論............................................1
第一節 研究背景......................................1
第二節 研究動機......................................2
第三節 研究目的......................................4
第四節 研究流程......................................5
第二章 文獻探討........................................6
第一節 虛擬社群......................................6
第二節 社會臨場感...................................13
第三章 研究方法.......................................19
第一節 研究架構.....................................19
第二節 變數定義與衡量...............................19
第三節 研究假說.....................................27
第四節 研究設計.....................................32
第五節 分析方法.....................................36
第四章 資料分析.......................................39
第一節 前測結果.....................................40
第二節 樣本描述.....................................44
第三節 探索性因素分析...............................48
第四節 驗證性因素分析...............................51
第五節 路徑分析.....................................56
第五章 結論與建議.....................................66
第一節 研究結論.....................................66
第二節 實務與學術貢獻...............................69
第三節 後續研究建議.................................70
第四節 研究限制.....................................72
參考文獻...............................................73
附錄 問卷..............................................79


表目錄
表1-1 台灣主要虛擬社群平台使用率……………………………………………..1
表1-2 虛擬社群新型態互動方式…………………………………………………..3
表2-1 虛擬社群的分類……………………………………………………………..7
表2-2 虛擬社群的使用動機………………………………...…………………….10
表2-3 網路人際關係之衡量………………………………...…………………….11
表2-4 忠誠程度的四個階段………………………………………………………12
表2-5 社會臨場感之衡量…………………………………………………………14
表2-6 社會臨場感的應用…………………………………………………………15
表2-7 虛擬社群的互動方式………………………………………………………17
表3-1 社會臨場感觀念性定義……………………………………………………20
表3-2 網路人際關係觀念性定義…………………………………………………22
表3-3 使用動機觀念性定義………………………………………………………24
表3-4 成員忠誠觀念性定義………………………………………………………27
表3-5 各構念之因素結構…………………………………………………………28
表3-6 前測樣本……………………………………………………………………33
表3-7 遊戲基地主題討論板………………………………………………………34
表4-1 前測抽樣結果………………………………………………………………40
表4-2 因素分析前測結果…………………………………………………………40
表4-3 路徑分析前測結果…………………………………………………………43
表4-4 樣本分類結果………………………………………………………………45
表4-5 樣本特性……………………………………………………………………46
表4-6 樣本使用習慣………………………………………………………………47
表4-7 各構念相關性不合標準之問項……………………………………………48
表4-8 各構念探索性因素分析結果………………………………………………49
表4-9 各構因素負符量不合標準之問項…………………………………………51
表4-10 衡量模式模型適配度………………………………………………………52
表4-11 收斂效度分析結果…………………………………………………………53
表4-12 區別效度分析結果…………..……………………………………………..55
表4-13 結構模式模式適配度………………………………………………………57
表4-14 路徑係數……………………………………………………………………57
表4-15 研究假說檢驗………………………………………………………………60
表4-16 分群模式模型適配度…………………………………………………...….61
表4-17 總合模式與各類型樣本路徑係數…………………………………………63
表4-18 總合模式與分群模式之比較………………………………………………65

圖目錄
圖1-1 研究流程……………………………………………………………………..5
圖3-1 研究架構……………………………………………………………………19
圖3-2 修正後研究架構……………………………………………………………32
圖4-1 資料分析流程………………………………………………………………39
圖4-2 衡量模式……………………………………………………………………52
圖4-3 結構模式……………………………………………………………………56
圖4-4 總合模式與各類型樣本路徑分析…………………………………………61


參考文獻 中文部份
1. 江嘉軒(2004)。虛擬社群網站使用動機與社會臨場感研究。中山大學傳播管理研究所碩士論文

2. 李小梅&黃世儒(2010)。部落格行銷中的信任形成因素。Journal of e-Business,第十二卷,第二期

3. 吳明隆(2009)。結構方程模式 Amos的操作與應用。五南文化

4. 吳萬益(2002)。企業研究方法。華泰文化

5. 連征忠(2004)。虛擬社群成員間信任關係之探討。大葉大學事業經營研究所碩士論文

6. 梁仁傑(2007)。虛擬社群知識分享持續意圖之探討-公平與知識品質所扮演的角色。中央大學資訊管理研究所碩士論文

7. 游佳范(2007)。虛擬群組信任動態發展之研究。Journal of e-Business,第九卷,第四期

8. 張偉雄&王暢(2008)。組織與管理研究的實證方法。華泰文化

英文部份
1. Brown, George H. (1952). Brand loyalty – fact or fiction? Advertising Age,
23, 53-55.

2.Bressler, S. E. (2000).Communities of Commerce: Building Internet Business Communities to Accelerate Growth, Minimize Risk, and Increase Customer Loyalty. McGraw-Hill

3.Chao-Min Chiu, Meng-Hsiang Hsu & Eric T.G. Wang (2006).Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories. Decision Support Systems, 42, 1872–1888.

4.Catherine M. Ridings, David Gefen & Bay Arinze(2002). Some antecedents and effects of trust in virtual communities , Journal of Strategic Information Systems, 11, 271–295.

5. Chih-Hsiung Tu(2002). The measurement of social presence in an online learning environment , International Journal of e-Learning, 1(2), 34-45.

6.Choon-Ling Sia et al(2002). Group Polarization and Computer-Mediated Communication: Effects of Communication Cues, Social Presence, and Anonymity, Information Systems Research , 13(1), 70-90.

7.David Gefen & Detmar W. Straub(2004). Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services, The international journal of management science, 32,407-424.

8.David R. Fortin & Ruby Roy Dholakia(2005). Interactivity and vividness effects on social presence and involvement with a web-based advertisement, Journal of business research, 58, 387-396.


9.Dianne Cyr et al(2006). The role of social presence in establishing loyalty in e-Service environments, Interacting with computers, 19, 43-56.

10.Dong Hee Shin(2008). Understanding purchasing behaviors in a virtual economy:
Consumer behavior involving virtual currency in Web 2.0 communities. Interacting with Computer, 20, 433-446.

11. Fernback, J., & Thompson, B. (1995). Virtual communities: Abort, retry,
failure? Available:http://www.well.com/~hlr/texts/VCcivil.html

12. Fion S. L. Lee, Douglas Vogel & Moez Limayem(2002). Virtual Community Informatics: What We Know and What We Need to Know, Proceedings of the 35th Hawaii International Conference on System Sciences.

13. F.S. Lee, D. Vogel, M. Limayem(2003). Virtual community informatics: a review and research agenda. Journal of information technology theory and application, 5(1), 47-61.

14. Gremler, David D. (1995). The effect of satisfaction, switching costs, and interpersonal bonds on service loyalty. Unpublished doctoral
dissertation, Arizona State University.

15. Gunawardena, C. N., & Zittle, F. (1997). Social presence as a predictor of satisfaction within a computer mediated conferencing environment, American Journal of Distance Education, 11(3), 8–25.

16. Hagel, J. and Armstrong, A.(1997). Net Gain: Expanding Markets
through Virtual Communities. Harvard Business School Press, Boston, Mass.

17. Heller, K. (1989). Return to community, American Journal of Community
Psychology, 17(1), 1–15.

18. House, J. S. (1981). Work, stress and social support. Reading MA: Addison-
Wesley.

19. Hsiu-Fen Lin(2008). Determinants of successful virtual communities: Contributions from system characteristics and social factors, Information & Management,58, 522-527.

20. Hyo-Jeong So & Thomas A. Brush(2008). Student perceptions of collaborative learning, social presence and satisfaction in a blended learning environment: Relationships and critical factors, Computers & Education, 51, 318-336.

21. J. Koh & Y.-G. Kim(2004). Knowledge sharing in virtual communities: an
e-business perspective, Expert Systems with Applications, 26, 155–166.

22. Johansen, R., Vallee, J., & Spangler, K.(1988). Teleconferencing: Electronic group meetings. In R. S. Cathcart & L. A. Samover .Small group communications: A reader. Menlo Park, CA: Institute for the Future,140-154.

23.Katz, E., Blumler, J. G. and Gurevitch, M. (1974). Utilization of mass communication by the individual. In J. G.. Blumler and E. Katz(Ed.), The uses of communication: Current perspectives on gratifications research, Beverly Hills, CA: Sage,19-32.

24.Liam Rourke et al.(2001). Assessing Social Presence In Asynchronous Text-based Computer Conferencing. Journal of Distance Education, 14(2),50-71.

25. Linda S. L. Lai & Efraim Turban(2008) . Groups Formation and Operations in the Web 2.0 Environment and Social Networks . Group Decis Negot , 17,387-402.

26. Lloyd C. Harris & Mark M.H.(2004). Goode The four levels of loyalty and the pivotal role of trust: a study of online service dynamics. Journal of Retailing , 80, 139-158.

27. Lombard, M., & Ditton, T(1997). At the heart of it all: The concept of presence. Journal of Computer-Mediated Communication, 3(2).

28. Lara Lomicka & Gillian Lord(2007). Social presence in virtual communities of
foreign language (FL) teachers, SYSTEM, 35, 208-228

29.Jones, Q.; and Rafaeli, S. (2002).Time to Split, Virtually: Discourse Architecture and Community Building asmeans to Creating Vibrant Virtual Metropolises,
International Journal of Electronic Commerce & Business Media, 10(4), 214-223.

30. Matthew S. Eastin & Robert LaRose(2004). Alt. support: modeling social support online, Computers in Human Behavior, 21, 977-992

31.Mark Keil & Roy D Johnson(2002). Feedback Channels:Using social presence theory to compare voice mail to e-mail, Journal of information system education, Vol.13(4)

32. Preece, J. (2000). Online communities: Designing usability, supporting
sociability. New York: Wiley.

33. Rice, R. E.(1993). Media appropriateness:Using social presence theory to
compare traditional and new organizational media, Human Communication Research, 19(4), 451-484.

34. Ruggiero, T. E. (2000). Uses and gratifications theory in the 21st century, Mass
Communication and Society, 3(1), 3–37.

35. R.P. Bagozzi, Y. Yi.(1998) On the evaluation of structural equation model, Journal of Academy of Marketing Science ,16(1), 74-94.

36. Short, J. , Williams E. , & Christie B. (1976). The social psychology of
telecommunications, London : John Wiley & Sons, Ltd.

37. Simon, S.J. (2001). The impact of culture and gender on web sites: an empirical study, The Data Base for Advances in Information Systems, 32(1), 18–37.

38. Srini S. Srinivasan, Rolph Anderson & Kishore Ponnavolu(2002). Customer loyalty in e-commerce: an exploration of its antecedents and consequences, Journal of Retailing, 78, 41-50.

39.Sridhar Balasubramanian & Vijay Mahajan, V. (2001). The economic leverage of the virtual community, International Journal of Electronic Commerce, 5(3), 103-138.

40.Manuel J. Sanchez-Franco & Francisco Javier Rondan-Cataluna (2009). Virtual travel communities and customer loyalty: Customer purchase involvement and web site design, Electronic Commerce Research and Applications,9(2), 171-182.

41. Thoits P. A. (1995). Stress, coping and social support processes: where are
we? What next? , Journal of Health and Social Behavior, 35, 53-79.

42. Utpal M. Dholakia, Richard P. Bagozzi & Lisa Klein Pearo(2004). A social influence model of consumer participation in network- and small-group-based virtual communities, Intern. J. of Research in Marketing, 21, 241-263.

43. P.M. Bentler(1988). Theory and Implementation of EQS:A structural Equation Program, Newbury Park

44. Wellman B. (2005) . Community: from neighborhood to network. Commun ACM , 48(10), 53-55.

45. Wellman, B., Salaff, J., & Dimitrova, D.(1996).Computer networks as social
networks: collaborative work, telework, and virtual community. Annual Review
of Sociology, 22, 213-238.

46. Yoo, Y., Alavi, M.(2001). Media and group cohesion: relative influences
on social presence, task participation, and group consensus. MIS Quarterly, 25(3), 371-390.

47. Yaobin Lu, Ling Zhao & Bin Wang(2009). From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers’ purchase intention. Electronic Commerce Research and Applications,9(4), 346-360
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