1.兒童福利聯，民2018年，兒少直播現象與影響調查報告，取自https://www.children.org.tw/research/detail/68/1332
2.MIC產業情報研究所，民2017年，直播大調查網頁，取自https://mic.iii.org.tw/news.aspx?id=475
3.MIC產業情報研究所，民2019年，數位遊戲玩家調查網頁，取自https://mic.iii.org.tw/news.aspx?id=506&List=69
4.財團法人網路資訊中心，民2019年12月，歷年個人及家庭上網行為趨勢分析網頁，取自https://www.twnic.tw/doc/twrp/202012f.pdf
5.Agrawal, N., & Maheswaran, D. (2005). The effects of self-construal and commitment on persuasion. Journal of Consumer Research, 31(4), 841-849.
6.Ajzen & Fishbein. (1975). Beliefs, Attitude, Intentions and Behavior: An introduction to theory and Research. Addition-Wesley, Boston, MA.
7.Anderson, R. E. & Srinivasan, S. S. (2003). E -Satisfaction and E-Loyalty: A Contingency Framework. Psychology and Marketing, 20 (2), 123-138.
8.Animesh, A., Pinsonneault, A., Yang, S. B., & Oh, W.( 2011). An odyssey into
virtual worlds: exploring the impacts of technological and spatial environments on intention to purchase virtual products. MIS Quarterly-Management Information Systems, 35(3),789-810.
9.Bae, S., & Lee, T. (2011). Product type and consumers’ perception of online consumer reviews. Electronic Markets, 21(4), 255–266.
10.Bakker, A. B., Albrecht, S. L., & Leiter, M. P. (2011). Key questions regarding work engagement. European Journal of Work and Organizational Psychology, 20(1), 4–28
11.Bartikowski, B., & Walsh, G. (2014). Attitude contagion in consumer opinion platforms: posters and lurkers. Electron Markets, 24(3), 207-217.
12.Baron, R. M., & Kenny, D. A.(1986). The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
13.Bartle, C., Avineri, E., & Chatterjee, K. (2013). Online information-sharing: A qualitative analysis of community, trust and social influence amongst commuter cyclists in the UK. Transportation research part F: traffic psychology and behavior ,16, 60-72.
14.Beck, R., Pahlke, I., & Seebach, C. (2014a). Knowledge Exchange and Symbolic Action in Social Media-Enabled Electronic Networks of Practice: A Multilevel Perspective on Knowledge Seekers and Contributors. MIS Quarterly ,38(4), 1245-1270.
15.Brazelton, J. & Gorry, G.A. (2003). Creating a knowledge-sharing community: if you build it, will they come?. Communications of the ACM, 46(2) , 23-25.
16.Barfield, W., Sheridan,T., Zeltzer, D. & Slater, M.(1995). Presence and performance within virtual environments. Virtual environments and advanced interface design, 473-513.
17.Botsman R.,(2012).The Currency of New Collaborative Economy is TRUST. TED Talk.
18.Bründl, S., & Hess, T. (2016). Why do Users Broadcast? Examining Individual Motives and Social Capital on Social Live Streaming Platforms. Paper presented at the PACIS.
19.Bründl, S., Matt, C., & Hess, T. (2017). Consumer use of social live streaming services: The influence of co-experience and effectance on enjoyment. Proceedings of the 25th European Conference on Information Systems (ECIS),(1775-1791), Guimaraes, Portugal.
20.Carlson, J., de Vries, N.J., Rahman, M.M., & Taylor, A. (2017). Go with the flow: engineering flow experiences for customer engagement value creation in branded social media environments. J. Brand Manag, 24 (4), 334–348.
21.Chiu,C.M., & Wang,E.T.G.(2008). Understanding web-based learning continuance intention: the role of subjective task value. Journal of Digital Information Management,45(3),194–201.
22.Chen, Chia-Chen & Lin, Lin, Yi-Chen (2018). What drives live-stream usage intention? The perspectives of flow, entertainment, social interaction, and endorsement. Telematics and Informatics, 35(1), 293-303.
23.Chen, H., Wigand,R.T., & Nilan, M.(2000). Exploring web users’ optimal flow experiences. Information Technology People, 13 (4),263–281.
24.Chen,Y., & Moosmayer, D, C. (2020). When guilt is not enough :Interdependent Self-Construal as moderator of the relationship between guilt and ethical consumption in a confucian context. Journal of Business Ethics, 161,551-572.
25.Cheng, X., Fu, S., Sun J., Bilgihan, A., & Okumus, F. (2019). An investigation on online reviews in sharing economy driven hospitality platforms: A viewpoint of trust. Tourism Management, 71, 366-377.
26.Cheung, C. M., & Lee, M. K. (2006). Understanding consumer trust in internet shopping: A multidisciplinary approach, Journal of the American Society for Information Science and Technology, 57(4), 479-492.
27.Creswell, J. W.(2002). Educational research: Planning, conducing, and evaluating quantitative and qualitative approaches to research. NJ: Merrill/Pearson Education, Upper Saddle River.
28.Csikszentmihalyi, M. (1975). Beyond Boredom and Anxiety, San Francisco, Jossey-Bass, CA.
29.Csikszentmihalyi, M. (1977), Beyond Boredom an Anxiety. second printing, San Francisco：Josey-Bass.
30.Csikszentmihalyi, M. (1998). Finding flow. Psychology Today, 30(4), 46-50.
31.Daep Datu, J. A., & Salanga, M. G. (2018). Cultural self-views influence meaning making: self-construals as differential predictors of meaning in life among Filipino university students. Universitas Psychologica . 17(5), 69-77.
32.De Matos, C.A., & Rossi, C.A.V.(2008). Word-of-Mouth communications in marketing: A meta-analytic review of the antecedents and moderators. Journal of the Academy of Marketing Science, 36(4), 578-596.
33.Deci, E. L., & Ryan, R. M. (1994). Promoting self-determined education. Scandinavian Journal of Educational Research, 38(1), 3–14.
34.Deng, Z., Lu, Y., Wei, K. K., & Zhang, J. (2010). Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China. International Journal of Information Management,30(4), 289-300.
35.Dinev, T., & Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61-80.
36.Dong, T. p., Cheng, N. C., & Wu, Y. C. (2014). A study of the social networking website service in digital content industries: The Facebook case in Taiwan. Computers in Human Behavior, 30, 708-714.
37.Dholakia, U.M., Bagozzi, R.P., & Pearo, L.K. (2004). A social influence model of consumer participation in network- and small-group-based virtual communities. International Journal of Research in Marketing, 21 (3), 241–263.
38.Escalas, J. E., & Bettman, J. R.(2005). Self-construal, reference groups, and brand meaning. Journal of Consumer Research, 32 (3), 378–389.
39.Finneran, C. M., & Zhang, P. (2005). Flow in computer-mediated environments: promises and challenges. Communication Associates, Information system,15 (1), 82–101.
40.Fong, C. J., Zaleski, D. J., & Leach, J. K. (2015). The challenge–skill balance and antecedents of flow: A meta-analytic investigation.The Journal of Positive Psychology, 10(5), 425–446.
41.Fornell, & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 382-388.
42.Gaggioli, A., Mazzoni, E., Milani, L., & Riva, G. (2015). The creative link: Investigating the relationship between social network indices, creative performance, and flow in blended teams. Computers in Human Behavior, 42, 157-166.
43.Gao, Q., & Feng, C. (2016). Branding with social media: User gratifications, usage patterns, and brand message content strategies. Computers in Human Behavior, 63, 868-890.
44.Gefen, D. (2000). E-commerce: The Role of Familiarity and Trust. Omega .28(6),725-737.
45.Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and Tam in Online Shopping: An integrated model. MIS Quarterly, 27, 51-90.
46.Gefen, D., Rigdon, E. E., & Straub, D. (2011). An Update and Extension to SEM Guidelines for Administrative and Social Science Research. MIS Quarterly, 35(2), iii-xiv.
47.Giermindl, L., Strich, F., & Fiedler, M.(2018).How Do They Differ? Analyzing the Motivations of Posters and Lurkers for Participation in Enterprise Social Networks. Journal of Information Technology Theory and Application, 19(2), 89-120.
48.Global Industry Analysts Inc.(2014). E-learning – a global strategic business report, 738.
49.Gordon, Rich. (2010). The Community-connection Experience. Pine Forge Press, 111–26. Harris, B. (2014). What Is Social Shopping? Retrieved from:
http://www.wisegeek.com/what-is-social-shopping.htm
50.Guo, Z., Xiao, L., Van Toorn, C., Lai, Y., & Seo, C. (2016) Promoting online learners’ continuance intention：An integrated flow framework. Journal of Information and Management, 53(2), 279-295.
51.Gwebu , K. L., & Wang, J. (2011). Adoption of Open Source Software: The role of social identification. Decision Support Systems, 51(1), 220-229.
52.Haimson, O. L., & Tang, J. C. (2017). What makes live events engaging on Facebook Live, Periscope, and Snapchat. Proceedings of the CHI conference on Human Factors in Computing Systems, New York, 48-60.
53.Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis with readings. New York: Publishing.
54.Hair, J., Anderson, R., Tatham, R., & Black, W. (2002). Multivariate data analysis (6th ed.). N.J.: Prentice Hall, Upper Saddle River.
55.Hilvert-Bruce,Zorah.Neill, James T.Sjoblom, Max & Hamari, Juho (2018). Social motivations of live-streaming viewer engagement on Twitch. Computers in Human. 84, 58-67.
56.Hoffman, D. L., & Thomas, P. Novak. (1996).Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations. Journal of Marketing.
57.Hoffman, D. L., & Novak, T. P. (2009). Flow online: lessons learned and future prospects. Journal of interactive marketing, 23(1), 23-34.
58.Hosmer, L.T.(1995). Trust: The Connecting Link Between Organizational Theory and Philosophical Ethics. Academy of Management Review, 20(2), 379-403.
59.Hsu, C.-L., & Lin, J. C.-C. (2008). Acceptance of blog usage: the roles of
technology acceptance, social influence and knowledge sharing motivation. Information and Management, 45(1), 65–74.
60.Hu, Mu.Zhang, Mingli & Wang, Yu (2017). Why do audiences choose to keep watching on live video streaming platforms? An explanation of dual identification framework. Computers in Human Behavior. 75, 594-606.
61.Huang,H.M.,Rauch,U., & Liaw, S.S.(2010).Investigating learners’ attitudes toward virtual reality learning environments: based on a constructivist approach. Comput. Educ,55(3),1171–1182.
62.Hyman, P. Minsky. (1980). Money, Financial Markets, and the Coherence of a Market Economy. Journal of Post Keynesian Economics, Taylor & Francis, 3(1), 21-31.
63.Jean, Éric. Peleta., Saïd, Ettisb., & Kelly, Cowart. (2017). Optimal experience of flow enhanced by telepresence. Journal of Information and Management, 54(1), 115-128.
64.Joo,Y.J.,Joung,S., & Sim,W.J. (2011). Structural relationships among internal locus of control, institutional support, flow, and learner persistence in cyber universities, Comput. Hum. Behav. 27 (2),714–722.
65.Kacen, J.J., & Lee, J. A. (2002). The influence of culture on consumer impulsive buying behavior. Journal of Consumer Psychology, 12(2), 163-176.
66.Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20(1), 141-151.
67.Kaiser, H.F.(1974). An index of factorical simplicity. Psychometrica, 39,31-36.
68.Kang, M., Liew, B.T., Kim, J. & Park, Y. (2014). Learning Presence as a Predictor of Achievement and Satisfaction in Online Learning Environments. International Journal on E-Learning, 13(2), 193-208
69.Kantsperger, R., & Kunz,H.W. (2010).Consumer trust in service companies: a multiple mediating analysis. Managing Service Quality, 20(1), 4-25.
70.Khare, A., Dixit, S., & Sarkar, S. (2020). Antecedents to online travel purchase: Role of network benefits, pilgrimage packages, interactivity, trust and customer reviews. Journal of Quality Assurance in Hospitality & Tourism, 1–26. https://doi.org/10.1080/1528008X.2020.1740133
71.Kim, H.W., Chan, H.C., & Gupta, S. (2007). Value-based adoption of mobile internet: an empirical investigation, Decision Support Systems, 43 (1),111-126.
72.Kim, D. J. (2008), Self-perception-based versus transference-based trust Determinants in computer-mediated transactions: a cross-cultural comparison study. Journal of Management Information, 24 (4),13-45.
73.Kim, M.S., Wilson, S. R., Anastasiou, L., Aleman, C., Oetzel, J., & Lee, H. R. (2009). The relationship between self-construals, perceived face threats, and facework during the pursuit of influence goals. Journal of International and Intercultural Communication, 2(4), 318-343.
74.Kim, Yoojung.Sohn, Dongyoung& Choi, Sejung Marina (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.
75.Klein, L. R. (2003). Creating virtual product experiences: The role of telepresence. Journal of Interactive Marketing, 17(1), 41-55.
76.Koh, J., Kim, Y.-G., Butler, B., & Bock, G.-W. (2007). Encouraging participation in virtual communities. Communications of the ACM, 50(2), 68-73.
77.Kramer, R. M., & Tyler, T. R. (1996). Trust in organizations: Frontiers of theory and research. Sage Publications, Inc.
78.Lankton, N. K., Mcknight, D. H., & Tripp, J. (2015). Technology, Humanness, and Trust: Rethinking Trust in Technology. Research Article, 16(10), 880-918.
79.Li, H., Daugherty, T., & Biocca, F. (2002). Impact of 3-D advertising on product knowledge, brand attitude, and purchase intention: The mediating role of presence. Journal of Advertising, 31(3), 43-57
80.Leung, D., & Ma, J. (2020). Antecedents and consequences of consumers’ trust in hybrid travel websites. Journal of travel and Tourism marketing, 37(6), 756-722.
81.Lu, Y., Zhao, L. & Wang, B. (2010). 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, 346-360.
82.Luo, Lu; & Gilmour, R. (2004). Culture, self and ways to achieve SWB: A cross-cultural analysis. Journal of Psychology in Chinese Societies, 5, 51-79.
83.Luo, Lu; & Gilmour, R. (2007). Developing a new measure of independent and interdependent views of the self. Journal of Research in Personality, 41, 249-257.
84.Ma, Z., Yang, Z., & Mouralim M. (2014). Consumer adoption of new products: independent versus interdependent self-perspectives. American Marketing Association Journal of Marketing, 78(2), 101-117.
85.Markus, H.R., & Kitayama, S. (1991). Culture and the self: implications for cognition, emotion, and motivation. Psychol Review. 98 (2), 224–253.
86.McKnight, H., Cummings, L.& Chervany, N. (1998). Initial Trust Formation in New Organizational Relationship. Academy of Management Review, 23(3), 473-490.
87.Mollen, A., & Wilson, H. (2010). Engagement, telepresence and interactivity in online consumer experience: Reconciling scholastic and managerial perspectives. Journal of Business Research, 63(9), 919-925.
88.Moneta, G. B., & Csikszentmihalyi, M. (1996). The Effect of Perceived Challenges and Skills on the Quality of Subjective Experience. Journal of Personality, 64(2), 275-310.
89.Nah,F.F.H.,Eschenbrenner,B.,& DeWester, D. (2011).Enhancing brand equity through flow and telepresence: a comparison of 2d and 3d virtual worlds. MIS Quarterly, 35 (3),731–747.
90.Nakamura, J., & Csikszentmihalyi, M. (2014). The concept of flow. In Flow and the foundations of positive psychology , Springer,239-263.
91.Nunnally, J.C. (1978). Psychometric theory. 2nd Edition. McGraw-Hill, New York.
92.Nunnally, R. P., & Yi, Y. (1988). On the evaluation of structure equations models. Academic of Marketing Science, 16(1), 76-94.
93.Oetzel, J.G., & Toomey, S. Ting. (2003). Face concerns in interpersonal conflict: a crosscultural empirical test of the face negotiation theory, Communication Research, 30 (6), 599–624.
94.Oyserman, D., Coon, H. M., & Kemmelmeier, M. (2002). Rethinking individualism and collectivism: evaluation of theoretical assumptions and meta-analyses. Psychological Bulletin, 128(1), 3-72.
95.Pai, P., & Tsai, H.-T. (2016). Reciprocity norms and information-sharing behavior in online consumption communities: An empirical investigation of antecedents and moderators. Information & Management, 53(1), 38-52. doi:10.1016/j.im.2015.08.002
96.Park, J. H., Gu, B., Leung, A. C. M., & Konana, P. (2014). An investigation of information sharing and seeking behaviors in online investment communities. Computers in Human Behavior ,31, 1-12.
97.Pavlou, P.A., Liang, H.G.,& Xue, Y.J. (2007). Understanding and mitigating uncertainty in online exchange relationships: A principal agent perspective. MIS Quarterly, 31(1), 105-136.
98.Pelet, J. É., Ettis, S., & Cowart, K. (2017). Optimal expeience of flow enhanced by relepresence: Evidence from social media Use. Journal of Information and Management, 54(1), 115-128.
99.Pinsonneault, A., & Kraemer, K. L.(1993). Survey Research Methodology in Management Information Systems: An assessment . Journal of Management Information Systems, 10(2), 75-105.
100.Polyorat, K., & Alden, D. L. (2005). Self-construal and need-for-cognition effects on brand attitudes and purchase intentions in response to comparative advertising in Thailand and the United States. Journal of Advertising, 34(1), 37-48.
101.Poyry, E., Parvinen, P., & Malmivaara, T. (2013). Can we get from liking to buying? Behavioral differences in hedonic and utilitarian Facebook usage. Electronic Commerce Research and Applications, 12(4), 224-235.
102.Preece, J., Nonnecke, B., & Andrews, D. (2004). The top five reasons for
lurking: improving community experiences for everyone. Computers in Human Behavior, 20(2), 201–223.
103.Pritchard, M.P., Funk, D. C., & Alexandris, K. (2009). Barriers to repeat patronage: the impact of spectator constraints. European Journal of Marketing, 43 (1–2), 169–187.
104.Reichheld, F. F., & Schefter, P. (2000). E-Loyalty, Harvard Business Review,
78 (4) , 105-113.
105.Ribbink, D., van Riel, A. C. R., Liljander, V., & Streukens, S. (2004). Comfort your online customer: quality, trust and loyalty on the Internet. Managing Service Quality, 14 (6), 446-456.
106.Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3: Boenningstedt. SmartPLS GmbH. Retrieved from http://www.smartpls.com.
107.Robert, K., & Raymond, W. E. (1997). A Brave New World of Virtual Organization: Creating a Distuributed Environment for Research Administration. SRA Journal, 29, 25-31.
108.Rousseau, D. M. , Sitkin, S. B. , Burt, R. S. & Camerer, C. (1998). Not So Different After All: A Cross-Discipline View of Trust . The Academy of Management Review, 23, 393-404 .
109.Saadé, 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 acceptance model. Journal of Information and Management, 42(2), 317-327.
110.Sangjae, L., & Byung, J. K. (2017). The impact of qualities of social network service on the continuance usage intention. Journal of Management Decision, 55(4), 701-729.
111.Sawyer, K. R.(2003). Group creativity: Music, theater, collaboration. New Jersey: LEA.
112.Shang, S. S., Wu, Y. L., & Li, E. Y. (2017). Field Effects of Social Media Platforms on Information-Sharing Continuance: Do Reach and Richness Matter?. Journal of Information and Management, 54 (2), 241–255.
113.Shao, Z., & Zhang, L. (2018). Trust Building in the Mobile Payment Platform. Yokohama, Japan: 2018 Pacis .
114.Shin, D., Song, J. H., & Biswas, A. (2014). Electronic Commerce Research and Applications. Electronic word-of-mouth (eWOM) generation in new media platforms: The role of regulatory focus and collective dissonance. Marketing Letters, 1-13.
115.Quach,S., Shao,W.,Ross, M., & Thaichon., R.(2020).Customer participation in firm-initiated activities via social media: Understanding the role of experiential value. Australasian Marketing Journal, 1-10. https:// doi.org /10.1016/j.ausmj.2020.05.006
116.Quintal,V. B. Thomas, I. Phau, & Z. Soldat. (2017). Using push-pull win escape attributes to model Australian wine tourist segmentation. International Journal of Wine Business Research, 29(4), 346-372.
117.Shroff,R.H.,Deneen,C.C.(2011). Assessing online textual feedback to support student intrinsic motivation using a collective text-based dislogue system: a qualitative study. Int. J. E-Learn,10 (1),87–104.
118.Singelis, T.M. (1994). The measurement of independent and interdependent self-construals. Personality and Social Psychology Bulletin, 20 (5), 580–591.
119.Sirdeshmukh , D., Singh,J. & Sabol, B. (2002). Consumer Trust, Value, and Loyalty in Relational Exchanges. Journal of Marketing, 66, 15-37.
120.Sjoblom, Max & Hamari, Juho (2017). Why do people watch others play video games? An empirical study on the motivations of Twitch users. Computers in Human Behavior. 75(2), 985-996.
121.Skadberg, Y.X., & Kimmel, J.R. (2004) Visitors’ flow experience while browsing a web site: its measurement, contributing factors and consequences. Computers in Human Behavior, 20(3), 403-422.
122.Stackla (2019, Jan). 43 Statistics About User-Generated Content You Need to Know. Retrieved from the World Wide Web:https://stackla.com/resources/blog/42-statistics-about-user-generated-content-you-need-to-know/
123.Stanney, K. & Salvendy, G. (1998).Aftereffects and sense of presence in
virtualenvironments: Formulation of a research and development agenda.
International Journal of Human-Computer Interaction,10,135-187.
124.Statista.com, Social media: daily usage in selected countries as of January 2015 fee-based. (2021) Retrieved from http://www.statista.com/statistics/270229/ usage-duration-of-social-networks-by-country.
125.Stutzmanm, F., Capra, R., & Thompson, J. (2011). Factors mediating disclosure in social network sites. Computers in Human Behavior, 27(1), 590-598.
126.Stevens, S. S. (1951) Mathematics, measurement, and psychophysics. In S. S. Stevens (Ed.), Handbook of experimental psychology, New York: Wiley,1-41.
127.Van Baaren, R. B., & Ruivenkamp, M. (2007). Self-construal and values expressed in advertising. Social Influence, 2(2), 136-144.
128.Wang, X., Ling, C., & Wei, Y. Y. (2012). Social media peer communication and impacts on purchase intentions: A consumer socialization framework. Journal of Interactive Marketing, 26(4), 198-208.
129.Wang, Y., Shuang, S., & Li, D. (2015). Customer participation in virtual brand communities:The self-construal perspective. Journal of Information and Management, 52, 577-587.
130.Wasko, M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contributions in electronic networks of practice. MIS Quarterly, 29(1), 35-57.
131.Waugh, M., & Searle, J. (2014). Student persistence and attrition in an online MS program:Implications for program design. International Journal on E-Learning, 13(1), 101-121.
132.Wold, H. (1974). Causal flows with latent variables: partings of ways in the light of NIPALS modelling. European Economic Review, 5(1), 67-86.
133.Witmer, B. G., Jerome, C. J., & Singer, M. J.(2005). The factor structure of the Presence Questionnaire. Presence: Teleoperators and Virtual Environment, 14(3), 298-312.
134.Yan, H., & Yang, Z. (2015). Examining mobile payment user adoption from the perspective of trust. International Journal of u-and e-Service, Science and Technology, 8(1), 117-130.
135.Yen, Y.R., Huang, Echo. & Sun, S. Y.(2007). Intellectual capital´s impact on participants´reshare knowledge intention in virtual communities. The 6th WSEAS International Conference on E-Activities, Spain, 2007,26-31.
136.Yang, X., Li, G., & Huang, S. S. (2017). Prceived online community support, member relations, and commitment: Differences between posters and lurkers. Journal of Information and Management , 54, 154-165.
137.You, W., Xia, M., Liu, L., & Liu, D. (2012). Customer knowledge discovery fromonline reviews. Electronic Markets, 22(3), 131–142.
138.Zaman, M., Anandarajan, M., & Dai,Q. (2010).Experiencing flow with instant messaging and its facilitating role on creative behaviors. Comput. Hum.Behav,26(5),1009-1018.
139.Zhang, Cong & Liu, Jiangchuan (2015). On crowdsourced interactive live streaming：a twitch. tv-based measurement study. Paper presented at the Proceedings of the 25th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video.
140.Zhang, Y., & Shrum, L. J. (2008). The influence of self-construal on impulsive
consumption. Journal of Consumer Research, 35(5), 838-850.
141.Zhao, D. J ; Huang, J.S., & Su, S.(2019).The effects of trust on consumers' continuous purchase intentions in C2C social commerce: A trust transfer perspective. Journal of Retailing and Consumer Services, 50, 42-49. https:// doi. Org/10.1016/j.jretconser.2019.04.014
142.Zhao, Q., Chen, C.-D., Cheng, H.-W., & Wang, J.-L. (2018). Determinants of live streamers’ continuance broadcasting intentions on Twitch: A self-determination theory perspective. Telematics and Informatics, 35(2), 406-420.
143.Zhou, T. (2011). The effect of initial trust on user adoption of mobile payment.
Information Development, 27(4), 290-300.
144.Ziegler, C. N., & Golbeck, J. (2007). Investigating interactions of trust and interest similarity. Decision Support Systems, 43(2), 460–475.
145.Zixiu. Guo., Lin, Xiao., Christine, Van. Toorn., Yihong, Lai., & Chanyoung, Seo. (2016). Promoting online learners' continuance intention: An integrated flow framework. Journal of Information and Management ,53,297-295.