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姓名 陳憶萱(Yi-Hsuan Chen)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 虛擬社群關係資本與需求動機對自我揭露之影響
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摘要(中) 網際網路與各形式虛擬社群平台的蓬勃發展與演進,提供了人們一個良好的互動溝通場所。本研究試圖回答「虛擬社群關係資本與個體需求動機如何對自我揭露行為產生影響」,並根據過去相關文獻,建構出以社會資本理論中的關係資本與需求動機影響自我揭露的跨層次模型。研究假設虛擬社群關係資本程度將正向影響成員的自我揭露行為;另一方面,關係資本將透過需求動機之中介機制來影響揭露程度,而良善關係資本之情境下,更可強化需求動機與自我揭露間的關係。由於影響自我揭露的因素可能同時來自組織層次及個體層次,因此本研究採用能同時將不同層次影響納入考量的階層線性模型 (Hierarchical Linear Modeling, HLM) 進行驗證。結果顯示組織層次的關係資本會正向影響個體層次的自我揭露;此外,組織層次的關係資本會透過個體層次之人氣、追求流行兩項需求動機影響自我揭露,具有部分中介之效果,而關係資本會正向干擾需求動機與自我揭露間的關係。本研究貢獻分為四個部分;首先本研究聚焦於虛擬社群建立之關係資本,來瞭解對使用者揭露行為可能產生的影響。接著,以整體研究架構而言,本研究有別於過往研究,以中介變數為切入角度探討關係資本與自我揭露間如何受到需求動機之中介機制影響;同時,本研究亦探討社群關係資本在需求動機與自我揭露間之干擾效果,以期更精確地了解其間的關係。最後,本研究在方法論上考量虛擬社群差異性,以階層線性模型進行驗證,使組織層次解釋變數對個體層次依變數間的解釋能力能夠更精確。
摘要(英) As the advancement of internet technology and the vigorous growth in virtual community, people can interact with others more easily through the online socializing platform. The current study intends to answer the question “how does the relational capital and motivation influence self-disclosure behavior?” Drawing on the social capital theory and motivation, we develop the multi-level research framework to discuss the relationships. The study assumes that relational capital will have positive impact on self-disclosure. Besides, the relational capital will influence self-disclosure through the mediating mechanism, motivation, and the relational capital will also reinforce the positive effect of the motivation on member disclosure behavior. Considering that the factors influencing self-disclosure may result from the factors in organizational-level and individual-level, the present study applied hierarchical linear modeling to examine the effect from different level. The result shows that the relational capital in organizational-level is positively related to self-disclosure, and the relational capital will affect self-disclosure through the partial mediating mechanism, motivation. Furthermore, the relational capital strengthens the positive influence of the need for fashion on individual self-disclosure behavior. This research makes four contributions as a whole. First of all, the study focuses on the relational capital built up in a virtual community to explore how it may affect the users. Secondly, the research probes into the mediating mechanism of motivation to realize how relational capital influences self-disclosure with this mechanism. In the meanwhile, the present study investigates multilevel relationship in moderating process of relational capital between motivations and self-disclosure behavior. Finally, in terms of the methodology, the current study uses hierarchical linear modeling to verify the effect of our research model so that we can accurately understand the impact of the variability of self-disclosure which is resulted from the organizational-level and individual-level.
關鍵字(中) ★ 自我揭露
★ 社會資本
★ 關係資本
★ 動機
★ 虛擬社群
★ 階層線性模型
關鍵字(英) ★ self-disclosure
★ social capital
★ relational capital
★ motivation
★ virtual community
★ hierarchical linear modeling (HLM)
論文目次 摘 要 i
Abstract ii
目錄 iv
圖目錄 vi
表目錄 vii
第一章 緒論 1
1-1 研究背景 1
1-2 研究目的 1
1-3 研究價值與預期貢獻 4
第二章 文獻探討 5
2-1 虛擬社群 5
2-2 自我揭露 6
2-3 關係資本 8
2-4 需求動機 9
2-5 關係資本與自我揭露 10
2-6 需求動機在關係資本與自我揭露中之中介機制 11
2-7 虛擬社群關係資本在需求動機與自我揭露中之調節效果 14
2-8 研究架構 15
第三章 研究方法 16
3-1 研究對象與抽樣方式 16
3-2 變數衡量方式 17
3-3 資料分析方法 23
第四章 資料分析 27
4-1 敘述性統計分析 27
4-2 信度分析 29
4-3 相關分析 29
4-4 效度分析 30
4-5 共同方法變異控制分析 32
4-6 控制變項 33
4-7 變數之群間與群內變異成份分析(ICC1、ICC2、rwg) 33
4-8 假設分析結果 34
第五章 結論與建議 42
5-1 研究發現 42
5-2 實務建議 44
5-3 研究限制與後續研究建議 45
參考文獻 47
附錄 61
參考文獻 1.Altman, I., and Taylor, D. (1987). Communication in interpersonal relationships: Social penetration processes. In M. E. Roloff & G. R. Miller (Eds.), Interpersonal processes: New Directions in Communication Research, 257-277. Newbury Park, CA: Sage.
2.Altman, I., and Taylor, D. A. (1973). Social penetration: The development of interpersonal relationships, Oxford, England: Holt, Rinehart & Winston.
3.Armstrong, A. and Hagel, J. III (1996). The real value of on-line communities. Harvard Business Review, 74(3), 134-141.
4.Attrill, A. and Jalil, R. (2011). Revealing only the superficial me: Exploring categorical self-disclosure online. Computers in Human Behavior, 27(5), 1634-1642.
5.Avolio, B., Yammarino, F.J., and Bass, B.M. (1991). Identifying Common Methods Variance with Data Collected from a Single Source: An Unresolved Sticky Issue, Journal of Management, 17(3), 571-587.
6.Bagozzi R. P. and Dholakia U. M. (2002). Intentional social action in virtual communities. Journal of Interactive Marketing, 16(2), 2-21.
7.Balasubramanian, S. and V. Mahajan (2001). The Economic Leverage of the Virtual Community. International Journal of Electronic Commerce, 5(3), 103-138.
8.Barak, A. and Gluck-Ofri, O. (2007). Degree and Reciprocity of Self-Disclosure in Online Forums. CyberPsychology & Behavior, 10(3), 407-417.
9.Bargh, J. A., and McKenna, K. Y. A. (2004). The internet and social life. Annual Review Psychology, 55(1), 573-590.
10.Bernoff, J. and Li, C. (2008). Harnessing the power of the oh-so-social Web. MIT Sloan Management Review, 49(3), 36-42.
11.Bhandar, M., Pan, S. L., and Tan, B. C. Y. (2007). Towards understanding the roles of social capital in knowledge integration: A case study of a collaborative information systems project. Journal of the American Society for Information Science and Technology, 58(2), 263-274.
12.Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation–confirmation model. MIS Quarterly, 25(3), 351–370.
13.Blau, P. M. (1964). Exchange and power in social life. New York, NY: John Wiley & Sons.
14.Bonebrake, K. (2002). College students’ internet use, relationship formation, and personality correlates. CyberPsychology & Behavior, 5(6), 551-557.
15.Bourdieu, P. (1986). The forms of capital. In J. G. Richardson (Ed.), Handbook of Theory and Research for the Sociology of Education, pp. 241-258. New York: Greenwood Press.
16.Boyatzis, C. J., Baloff, P. and Durieux, C. (1998). Effects of perceived attractiveness and academic success on early adolescent peer popularity. Journal of Genetic Psychology, 159(3), 337-344.
17.Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210-230.
18.Boyle, K., and Johnson, T. J. (2010). MySpace is your space? Examining self-presentation of MySpace users. Computers in Human Behavior, 26(6), 1392-1399.
19.Bryk, AS, and Raudenbush, SW. (1992). Hierarchical linear models: Applications and data analysis methods: Newbury Park, CA: Sage.
20.Burke, M., Kraut, R. and Marlow, C. (2011). Social capital on facebook: differentiating uses and users. Proceedings of the 2011 annual conference on Human factors in computing systems, ACM, Vancouver, BC, Canada, 571-580.
21.Chai, S., Das, S., and Rao H. (2011). Factors Affecting Bloggers’ Knowledge Sharing: An Investigation Across Gender. Journal of Management Information Systems archive, 28(3), 309-342.
22.Chang, M. C-S. (2011). Social Relationships Development In Virtual Community: A Life Cycle Approach. In proceeding of: Pacific Asia Conference on Information Systems, PACIS 2011, paper 36.
23.Chaudoir, S. R., and Quinn, D. M. (2010). Revealing concealable stigmatized identities: The impact of disclosure motivations and positive first-disclosure experiences on fear of disclosure and well-being. Journal of Social Issues, 66(3), 570-584.
24.Chelune, G.J. (1979). Measuring openness in interpersonal communication. In Chelune, G.J. (Ed.), Self-Disclosure: Origins, Patterns and Implications of Openness in Interpersonal Relationship, JossyBass, San Francisco, 14-30.
25.Chen, C.-J. and S.-W. Hung (2010). To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities. Information & Management 47(4): 226.
26.Chen, G., and Bliese, P. D. (2002). The role of different levels of leadership in predicting self- and collective efficacy: Evidence for discontinuity. Journal of Applied Psychology, 87(3), 549-556.
27.Chen, R. and Sharma, S. (2012). Understanding User Behavior at Social Networking Sites: A Relational Capital Perspective. Journal of Global Information Technology Management, 15(2), 25.
28.Chiu, C.-M., Hsu, M.-H., and Wang, E. T. G. (2006). Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories. Decision Support Systems, 42(3), 1872-1888.
29.Cho, S. H. (2007). Effects of motivations and gender on adolescents’ self-disclosure in online chatting. CyberPsychology & Behavior, 10(3), 339-345.
30.Christofides, E., Muise, A. and Desmarais, S. (2009). Information disclosure and control on facebook:are they two sides of the same coin or two different processes? CyberPsychology & Behavior, 12(3), 341-345.
31.Cohen J. (1988). Statistical power analysis for the behavior science (2nd ed.). Hillsdale, NJ: Eribaum.
32.Coleman, J.S. (1988). Social capital in the creation of human capital. The American Journal of Sociology, 94, 95-120.
33.Cozby, P. C. (1973). Self-disclosure: A literature review. Psychological Bulletin, 79(2), 73-91.
34.Derlega, V. J., & Grzelak, J. (1979). Appropriateness of self-disclosure. In G. J. Chelune (Ed.), Self-disclosure: Origins, patterns and implications of openness in interpersonal relationship,151-176. San Francisco: Jossey-Bass.
35.Derlega, V., Winstead, B., Wong, P., and Greenspan, M. (1987). Self-disclosure and relationship development: An attributional analysis. In M. E. Roloff & G. R. Miller (Eds.), Interpersonal processes: New directions in communication research, 172-187. Thousand Oaks, CA: Sage.
36.Derlega, V.L., Metts, S., Petronio, S., Margulis, S. T. (1993). Self disclosure. London: Sage Publications Inc.
37.Dindia, K. and Allen, M. (1992). Sex differences in self-disclosure: A meta-analysis. Psychological Bulletin, 112(1), 106-124.
38.Ellison, N. B., Steinfield, C., and Lampe, C. (2007). The benefits of Facebook “friends”: Social capital and college students’ use of social online networks. Journal of Computer-Mediated Communication, 12(4), 1143-1168.
39.Fernback, J., and Thompson, B. (1995). Virtual communities: Abort, retry, failure? Available at http://www.well.com/user/hlr/texts/VCcivil.html.
40.Fetterman, D. M. (2002). Web surveys to digital movies: Technological tools of the trade. Educational Researcher, 31(6), 29–37.
41.Frye, N., and Dornisch, M. (2010). When is trust not enough? The role of perceived privacy of communication tools in comfort with self-disclosure. Computers in Human Behavior, 26(5), 1120-1127.
42.Gibbs, J. L., Ellison, N. B., and Heino, R. D. (2006). Self-presentation in online personals: the role of anticipated future interaction, self-disclosure, and perceived success in internet dating. Communication Research, 33(2), 152-177.
43.Glick, William H. (1985). Conceptualizing and Measuring Organizational and Psychological Climate: Pitfalls in Multilevel Research. Academy of Management Review, 10(3), 601-616.
44.Guo, C. and Yu, J. (2009). Socializing Online in Various Cultural Contexts: A Cross Nation Study of Social Network Service Development. AMCIS 2009 Proceedings, paper 514.
45.Hair Junior, Joseph F, Tatham, Ronald L, Anderson, Rolph, E, and Black, William C. (1998). Multivariate Data Analysis (5th Edition): Prentice Hall.
46.Hatcher, L. (1994). A step-by-step approach for using SAS system for analysis and structural equation modeling. Cary, NC: SAS Institute.
47.Heller, K. (1989). The Return to community. American Journal of Community Psychology, 17(1), 1–15.
48.Herbert, T. T. (1976). Dimensions of organizational behavior. New York: Collier Macmillan.
49.Hofmann, D.A. (2002). Issues in multilevel research: Theory development, measurement, and analysis. In S.G. Rogelberg (Ed.), Handbook of research methods in industrial and organizational psychology, 247-274. Malden: Blackwell Publishers.
50.Hofmann, D.A. and M. B. Gavin. (1998). Centering Decisions in Hierarchical Linear Models: Implications for Research in Organizations. Journal of Management, 24(5), 623-641.
51.Hollenbaugh, E. E. (2010). Personal journal bloggers: Profiles of disclosiveness. Computers in Human Behavior, 26(6), 1657-1666.
52.Hsu, C. W., Wang, C. C., and Tai, Y. T. (2011). The Closer the Relationship, the More the Interaction on Facebook? Investigating the Case of Taiwan Users. CyberPsychology, Behavior, and Social Networking, 14(7-8), 473-476.
53.Hsiu-Chia Ko. (2013). The determinants of continuous use of social networking sites: An empirical study on Taiwanese journal-type bloggers’ continuous self-disclosure behavior. Electronic Commerce Research and Applications, 12(2), 103-111.
54.Hu, T., & Kettinger, W. J. (2008). Why people continue to use social networking services: Developing a comprehensive model. International conference on information systems. Canada: Montreal.
55.Huang, L. S., Chou, Y. J., and Li, C. H. (2008). The Influence of Reading Motives on the Responses after Reading Blogs. CyberPsychology & Behavior, 11(3), 351-355.
56.Hui, K.-L., Tan, B. C. Y., and Goh, C.-Y. (2006). Online Information Disclosure: Motivators and Measurements. ACM Transactions on Internet Technology, 6(4), 415-441.
57.James J. Jiang, Gary Klein, Christopher L. Carr (2002). Measuring information system service quality: SERVQUAL from the other side. MIS Quarterly, 26(2), 145–161.
58.James, L. R., Demaree, R. G., and Wolf, G. (1993). Rwg: an assessment of within-group interrater agreement. The Journal of Applied Psychology, 78(2), 306–309.
59.James, Lawrence R. (1982). Aggregation Bias in Estimates of Perceptual Agreement. Journal of Applied Psychology, 67(2), 219-229.
60.James, Lawrence R., Demaree, Robert G., and Wolf, Gerrit. (1984). Estimating Within-Group Interrater Reliability With and Without Response Bias. Journal of Applied Psychology, 69(1), 85-98.
61.Jarvenpaa, S. L., Tractinsky, N., and Vitale, M. (2000). Consumer trust in an internet store. Information Technology and Management, 1(12), 45–71.
62.Jetten, J., Postmes, T., and McAuliffe, B. J. (2002). We’re all individuals: group norms of individualism and collectivism, levels of identification and identity threat. European Journal of Social Psychology, 32(2), 189-207.
63.Joinson, A. N., Reips, U.-D., Buchanan, T., and Schofield, C. B. P. (2010). Privacy, Trust, and Self-Disclosure Online. Human-Computer Interaction, 25 (1), 1-24.
64.Jones, Q. (1997). Virtual communities, virtual settlements and cyber-archaeology: A theoretical outline. Journal of Computer-Mediated Communications, 3(3), Available: http://www.ascusc.org/jcmc/vol3/issue3/jones.html/
65.Jourard, S. M. (1979). Self-disclosure: An experimental analysis of the transparent self. Huntington, NY: Robert E Krieger Publishing Company.
66.Kankanhalli, A., Tan, B. C. Y., and Wei, K. K. (2005). Contributing knowledge to electronic knowledge repositories: An empirical investigation. MIS Quarterly, 29(1), 113–143.
67.Kaplowitz, M. D., Hadlock, T. D., and Levine, R. (2004). A comparison of web and mail survey response rates. Public Opinion Quarterly, 68(1), 94–101.
68.Kenny, D. A., Kashy, D., and Bolger, N. (1998). Data analysis in social psychology. In I. D. Gilbert, S. Fiske & G. Lindzey (Eds.), The Handbook of social psychology (4th ed., 233-265). New York: McGraw-Hill.
69.Kim, Y., Sohn, D., and Choi, S. M. (2011). Cultural difference in motivations for using social network sites: A comparative study of American and Korean college students. Computers in Human Behavior, 27(1), 365–372.
70.Ko, H. C., and Kuo, F. Y. (2009). Can blogging enhance subjective well-being through self-disclosure? CyberPsychology & Behavior, 12(1), 75-79.
71.Kozlowski, Steve W. J., and Klein, Katherine J. (2000). A multilevel approach to theory and research in organizations: Contextual, temporal, and emergent processes. In K. J. K. S. W. J. Kozlowski (Ed.), Multilevel theory, research, and methods in organizations: Foundations, extensions, and new directions, 3-90. San Francisco, CA, US: Jossey-Bass.
72.Krasnova, H., Kolesnikova, E., and Guenther, O. (2009). It won’t happen to me: Self-disclosure in online social networks. The Americas Conference on Information Systems, AMCIS 2009 proceeding, paper 343.
73.Kreft, Ita, G.G. (1996). Are Multilevel Techniques Necessary? An Overview, Including Simulation Studies. California State University, Los Angeles.
74.LeBreton, J. M., and Senter, J. L. (2008). Answers to twenty questions about interrater reliability and interrater agreement. Organizational Research Methods, 11(4), 815-852.
75.Lee, D. H., Im, S., and Taylor, C. R. (2008). Voluntary self-disclosure of information on the Internet: A multimethod study of the motivations and consequences of disclosing information on blogs. Psychology and Marketing 25(7), 692-710.
76.Lesser, E. L. and Storck, J. (2001). Communities of Practice and Organizational Performance. IBM Systems Journal, 40(4).
77.Leung, L. (2002). Loneliness, self-disclosure, and ICQ (“I seek you”) use. Cyber Psychology & Behavior, 5(3), 241-251.
78.Lo, J. (2010). Privacy concern, locus of control, and salience in a trust-risk model of information disclosure on social networking sites. Lima, Peru: AMCIS.
79.Lo, J., and Riemenschneider, C. (2010). An examination of privacy concerns and trust entities in determining willingness to disclose personal information on a social networking site. Lima, Peru: AMCIS.
80.Maslow, A. H. (1968). Toward a psychology of being. New York: Van Nostrand.
81.Mathieu J.E. and William Schulze. (2006). The influence of team knowledge and formal plans on episodic ream process-performance relationships. The Academy of Management Journal, 49(3), 605-619.
82.McDonald, J. D. (2008). Measuring Personality Constructs: The Advantages and Disadvantages of Self-Reports, Informant Reports and Behavioural Assessments. ENQUIRE, 1(1).
83.Mesch, G. S. (2012). Is online trust and trust in social institutions associated with online disclosure of identifiable information online? Computers in Human Behavior, 28(4), 1471-1477.
84.Metzger, M. J. (2004). Privacy, trust, and disclosure: Exploring barriers to electronic commerce. Journal of Computer Mediated Communication, 9(4).
85.Metzger, M. J. (2006). Effects of diet, vendor, and consumer characteristics on website trust and disclosure. Communication Research, 33(3), 155–179.
86.Mikulincer, M. and Nachshon, O. (1991). Attachment styles and patterns of self-disclosure. Journal of Personality and Social Psychology, 61(2), 321-331.
87.Mital, M., Israel, D., and Agarwal, S. (2010). Information exchange and information disclosure in social networking web sites: Mediating role of trust. Learning Organization, 17(6), 479 – 490.
88.Mook, D. G. (1987). Motivation: The Organization of Action. New York: W. W. Norton Mull, R. E., Bayless, K. G., Ross, C. M., & Jamieson, L. M. Recreation Sport Management. (3rd Ed.), IL: Human Kinetics.
89.Moon, Y. (2000). Intimate exchanges: Using computers to elicit self-disclosure from consumers. Journal of Consumer Research, 26(4), 323–339.
90.N. L. Collins and L.C. Miller (1994). Self-Disclosure and Liking: A Meta-Analytic Review. Psychological Bulletin, 116(3), 457-475.
91.Nahapiet, J. and S. Ghoshal (1998). Social capital, intellectual capital, and the organizational advantage. The Academy of Management Review 23(2): 242-266.
92.Nickel, J. and Schaumburg, H. (2004). Electronic privacy, trust and self-disclosure in e-recruitment. Vienna, Austria: CHI2004
93.Nosko, A., Wood, E., and Molema, S. (2010). All about me Disclosure in online social networking profiles The case of Facebook. Computers in Human Behavior 26(3), 406–418.
94.Nunally, J. C. Jr., (1978). Psychometric theory. New York: McGraw-Hill.
95.Park, N., Jin, B., & Jin, S-A.A. (2011). Effects of self-disclosure on relational intimacy in Facebook. Computers in Human Behavior, 27(5), 1974-1983.
96.Pempek, T. A., Yermolayeva, Y. A. and Calvert, S. L. (2009). College students’ social networking experiences on Facebook. Journal of Applied Developmental Psychology, 30(3), 227-238.
97.Peter, J., Valkenburg, P. M., and Schouten, A. P. (2005). Developing a model of adolescent friendship formation on the internet. CyberPsychology & Behavior, 8(5), 423-430.
98.Phillips, B. and Shipps, B. (2012). Frequency of Usage: The Impact of Technology Acceptance Factors versus Social Factors. International Journal of Virtual Communities and Social Networking, 4(2), 30-45.
99.Pornsakulvanich, V., Haridakis, P., and Rubin, A. M. (2008). The influence of dispositions and Internet motivation on online communication satisfaction and relationship closeness, Computers in Human Behavior, 24(5), 2292-2310.
100.Posey, C., Lowry, P. B., Roberts, T. L., and Ellis, T. S. (2010). Proposing the online community self-disclosure model: the case of working professionals in France and the U.K. who uses online communities. European Journal of Information Systems, 19(2), 181-195.
101.Preece, J. (2000). Online Communities: Designing Usability, Supporting Sociability. Chichester, UK: John Wiley & Sons.
102.Putnam, R. D., Leonardi R, and Nanetti R.Y. (1993). Making democracy work: Civic tradition in modern Italy, Princeton, N.J.: Princeton University Press.
103.Raacke, J. and Bonds-Raacke, J. (2008). MySpace and Facebook: applying the uses and gratifications theory to exploring friend-networking sites. CyberPsychology, Behavior, and Social Networking, 11(2), 169-174.
104.Rau, P.-L. P., Gao, Q., and Ding, Y. (2008). Relationship between the level of intimacy and lurking in online social network services. Computers in Human Behavior, 24(6), 2757-2770.
105.Rheingold, H. (1993). The virtual community: Homesteading on the electronic frontier. Reading, MA: Addison-Wesley.
106.Riemer, K. (2004). The Role Of Social Capital In Managing Relationships With eCommerce Suppliers. 17th Bled eCommerce Conference eGlobal.
107.Ross, C., Orr, E.S., Arseneault, J.M., Simmering, M.G. and Orr, R.R. (2009). Personality and motivations associated with Facebook use’. Computers in Human Behavior, 25(2), 578-586.
108.Rothaermel, F. T., and Sugiyama, S. (2001). Virtual Internet communities and commercial success: Individual and community-level theory grounded in the atypical case of TimeZone.com. Journal of Management, 27(3), 297–312.
109.Rousseau, D.M. (1985). Issues of level in organizational research: multi-level and cross-level perspectives. Research in organizational behavior, 7(1), 1-37.
110.Rui Chen and Sushil K. Sharma. (2013). Self-disclosure at social networking sites: An exploration through relational capitals. Information Systems Frontiers, 15(2), 269-278.
111.Ryan, R. M., and Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist,55, 68-78.
112.Santor, D. A., Messervey, D., and Kusumakar, V. (2000). Measuring peer pressure, popularity, and conformity in adolescent boys and girls: Predicting school performance, sexual attitudes, and substance abuse. Journal of Youth and Adolescence, 29, 163–182.
113.Sheeks, M. S., and Birchmeier, Z. P. (2007). Shyness, sociability, and the use of computer-mediated communication in relationship development. CyberPsychology & Behavior, 10(1), 64-70.
114.Sheldon, P. (2008). The relationship between unwillingness-to-communicate and students’ Facebook use. Journal of Media Psychology, 20(2), 67-75.
115.Shepherd, R.-M., and Edelmann, R. J. (2005). Reasons for internet use and social anxiety. Personality and Individual Differences, 39(5), 949-958.
116.Shu-Hsun Ho and Chiung-Hui Huang. (2009) Exploring success factors of video game communities in hierarchical linear modeling: The perspectives of members and leaders. Computers in Human Behavior, 25(3), 761–769.
117.Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. In S. Leinhardt (Ed.), Sociological methodology (pp. 290–312). San Francisco: Jossey-Bass.
118.Soper, D.S. (2013), Sobel test calculator for the significance of mediation. From http://www.danielsoper.com/statcalc3/calc.aspx?id=31
119.Stefano Taddei, S. and Contena, B. (2013). Privacy, trust and control: Which relationships with online self-disclosure? Computers in Human Behavior, 29(3), 821–826.
120.Tian, Q. (2011). Social anxiety, motivation, self-disclosure, and computer-mediated friendship: A path analysis of the social interaction in the blogosphere. Communication Research.
121.Tonteri, L., Kosonen, M., Ellonen, H.K., and Tarkiainen, A. (2011). Antecedents of an experienced sense of virtual community. Computers in Human Behavior, 27(6), 2215–2223.
122.Trepte, S. and Reinecke, L. (2013). The reciprocal effects of social network site use and the disposition for self-disclosure: A longitudinal study. Computers in Human Behavior, 29(3), 1102–1112.
123.Tsai, W. and S. Ghoshal (1998). Social capital and value creation: The role of intrafirm networks. Academy of Management Journal 41(4): 464-476.
124.Utz, S. and Beukeboom, C. J. (2011). The Role of Social Network Sites in Romantic Relationships: Effects on Jealousy and Relationship Happiness. Journal of Computer-Mediated Communication, 16(4), 511-527.
125.Utz, S., Tanis, M., and Vermeulen, I. (2012). It is all about being popular: The effects of need for popularity on social network site use. CyberPsychology, Behavior, and Social Networking, 15(1), 37-42.
126.Wasko, M. M., and Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), 35-57.
127.Waters, S. and Ackerman, J. (2011). Exploring Privacy Management on Facebook: Motivations and Perceived Consequences of Voluntary Disclosure. Journal of Computer-Mediated Communication 17(1), 101-115.
128.Wei, M., Russell, D. W., & Zakalik, R. A. (2005). Adult attachment, social self-efficacy, self-disclosure, loneliness, and subsequent depression for freshman college students: A longitudinal study. Journal of Counseling Psychology, 52, 602-614.
129.Wei-Tsong Wang and Zu-Hao Wei. (2011). Knowledge sharing in wiki communities: an empirical study. Emerald, Online Information Review, 35(5), 799-820.
130.Wellman, B. and Gulia, M. (1999). Net surfers don’t ride alone: Virtual communities as communities. M. A. Smith, and P. Kollock (Eds.), Communities in cyberspace. London: Routledge. 167–194.
131.Wheeless, L. R. (1976). Self-disclosure and interpersonal solidarity: Measurement, validation, and relationships. Human Communication Research, 3(1), 47-61.
132.Wheeless, L.R., and Grotz, J. (1976). Conceptualization and measurement of reported self-disclosure. Human Communication Research, 2, 338-346.
133.Whinston, A. B. (2009). Opportunities and challenges in analysis of social netoworks. Americas Conference on Information Systems, AMCIS proceeding, paper 288.
134.Widen-Wulff, G., Ek, S., Ginman, M., Perttila, R., Sodergard, P., and Totterman, A. (2008). Information behavior meets social capital: A conceptual model. Journal of Information Science, 34(3), 346-355.
135.Wood, R. T. A., Griffiths, M. D., and Eatough, V. (2004). Online data collection fromvideo game players: Methodological issues. CyberPsychology & Behavior, 7(5), 511–518.
136.Xu, H., Parks, R., Chu, C.H., and Zhang, X.L. (2010). Information disclosure and online social networks: From the case of Facebook news feed controversy to a theoretical understanding. Americas Conference on Information Systems.
137.Zakin, D. F. (1983). Physical attractiveness, sociability, athletic ability, and children’s preference for their peers. Journal of Psychology, 115(1), 117-122.
138.Zywica, J. and Danowski, J. (2008). The faces of facebookers: investigating social enhancement and social compensation hypotheses; predicting Facebook and offline popularity from sociability and self-esteem, and mapping the meanings of popularity with semantic networks’. Journal of Computer-Mediated Communication, 14(1), 1-34.
139.賴正育、楊亨利 (2011). 微網誌使用的需求動機及其影響;資訊管理學報,第十九卷第一期。
140.陳順宇 (2005). 多變量分析(四版),台北市:華泰書局出版。
指導教授 李憶萱(Yi-Hsuan Lee) 審核日期 2013-7-26
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