Underpinnings of User Participation in Service Provider–Hosted Online Communities

References

• Ajzen I (1991) The theory of planned behavior. Organ. Behav. Human Decision Processes 50(2):179–211.Crossref, Google Scholar
• Al-Debei MM, Al-Lozi E, Papazafeiropoulou A (2013) Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective. Decision Support Systems 55(1):43–54.Crossref, Google Scholar
• Bandura A (1977) Self-efficacy: Toward a unifying theory of behavioral change. Psych. Rev. 84(2):191–215.Crossref, Google Scholar
• Bandura A (1986) Social Foundations of Thought and Action: A Social-Cognitive View (Prentice-Hall, Englewood Cliffs, NJ).Google Scholar
• Barclay DW, Higgins C, Thompson R (1995) The partial least squares (PLS) approach to causal modeling: Personal computer adaption and use as illustration. Tech. Stud. 2(2):285–309.Google Scholar
• Baron RM, Kenny DA (1986) Moderator-mediator variables distinction in social psychological research: Conceptual, strategic, and statistical considerations. J. Personality Soc. Psych. 51(6):1173–1182.Crossref, Google Scholar
• Bhattacherjee A (2000) Acceptance of E-commerce services: The case of electronic brokerages. IEEE Trans. Systems, Man Cybernetics A: Systems and Humans 30(4):411–420.Crossref, Google Scholar
• Brown BB (1990) Peer groups and peer culture. Feldman SS, Elliot CR, eds. At the Threshold: The Developing Adolescent (Harvard University Press, Cambridge, MA), 171–196.Google Scholar
• Brown SA, Venkatesh V (2005) Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS Quart. 29(3):399–426.Crossref, Google Scholar
• Browne MW, Cudeck R (1993) Alternative ways of assessing model fit. Bollen KA, Long JS, eds. Testing Structural Equation Models (Sage, Newbury Park, CA), 136–162.Google Scholar
• Caers R, Feyter TD, Couck MD, Stough T, Vigna C, Bois CD (2014) Facebook: A literature review. New Media Soc. 15(6):982–1001.Crossref, Google Scholar
• Chen H, Papazafeiropoulou A, Chen TK, Duan Y, Liu HW (2014) Exploring the commercial value of social networks. Enhancing consumers’ brand experience through Facebook pages. J. Enterprise Inform. Management 27(5):576–598.Crossref, Google Scholar
• Cheung CMK, Lee MKO, Lee ZWY (2013) Understanding the continuance intention of knowledge sharing in online communities of practice through the post-knowledge-sharing evaluation processes. J. Amer. Soc. Inform. Sci. Tech. 64(7):1357–1374.Crossref, Google Scholar
• Chin WW (1998) Issues and opinion on structural equation modeling. MIS Quart. 22(1):7–16.Google Scholar
• Cvijikj IP, Michahelles F (2013) Online engagement factors on Facebook brand pages. Soc. Network Anal. Mining 3(4):843–861.Crossref, Google Scholar
• de Valck K, van Bruggen GH, Wierenga B (2009) Virtual communities: A marketing perspective. Decision Support Systems 47(3):185–203.Crossref, Google Scholar
• Deloitte (2009) Tribalization of business study: Transforming companies with communities and social media. Accessed October 8, 2015, http://www.slideshare.net/szakatak/2009-tribalization-of-business-study.Google Scholar
• Ding Y, Phang CW, Lu X, Tan CH, Sutanto J (2014) The role of marketer- and user-generated content in sustaining the growth of a social media brand community. Proc. 47th Hawaii Internat. Conf. System Sci. IEEE Comput. Soc. (IEEE, Washington, DC), 1785–1792.Crossref, Google Scholar
• Doane AN, Pearson MR, Kelley ML (2014) Predictors of cyberbullying perpetration among college students: An application of the theory of reasoned action. Comput. Human Behav. 36(July):154–162.Crossref, Google Scholar
• Erikson EH (1959) Identity and the life cycle: Selected papers. Psych. Issues 1(1):1–171.Google Scholar
• Erikson EH (1968) Identity Youth and Crisis (Norton, New York).Google Scholar
• Facebook (2014) Facebook stats. Accessed July 30, 2014, http://newsroom.fb.com/company-info/.Google Scholar
• Fan Q, Lee J, Park Y (2009) Do online social networks in international regions function the same or differently? Based on Korean and US social network customers. J. Korea Trade 13(4):89–110.Google Scholar
• Fornell C, Larcker D (1981) Structural equation models with unobservable variables and measurement error. J. Marketing Res. 18(1):39–50.Crossref, Google Scholar
• Fortin DR, Dholakia RR (2005) Interactivity and vividness effects on social presence and involvement with a web-based advertisement. J. Bus. Res. 58(3):387–396.Crossref, Google Scholar
• Füller J, Matzler K, Hoppe M (2008) Brand community members as a source of innovation. J. Product Innovation Management 25(6):608–619.Crossref, Google Scholar
• Gefen D, Straub DW (2004) Consumer trust in B2C e-commerce and the importance of social presence: Experiments in e-products and e-services. Omega 32(6):407–424.Crossref, Google Scholar
• Habibi MR, Laroche M, Richard MO (2014) The roles of brand community and community engagement in building brand trust on social media. Comput. Human Behav. 37(August):152–161.Crossref, Google Scholar
• Hair JF, Black Jr W, Babin B, Anderson R, Tatham R (2006) Multivariate Data Analysis, 6th ed. (Prentice Hall, Upper Saddle River, NJ).Google Scholar
• Hamari J, Koivisto J (2013) Social motivations to use gamification: An empirical study of gamification. Proc. 21st Eur. Conf. Inform. Systems (Association for Information Systems, Utrecht, Netherlands).Google Scholar
• Hernandez B, Jimenez J, Jose Martin M (2009) The impact of self-efficacy, ease of user and usefulness on e-purchasing: An analysis of experienced e-shoppers. Interacting Comput. 21(1–2):146–156.Crossref, Google Scholar
• Hsieh JJP, Rai A, Keil M (2008) Understanding digital inequality: Comparing continued use behavioral models of the socio-economic advantaged and disadvantaged. MIS Quart. 32(1):97–126.Crossref, Google Scholar
• Hsu CL, Lin JCC (2008) Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Inform. Management 45(1):65–74.Crossref, Google Scholar
• Hu L, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling 6(1):1–55.Crossref, Google Scholar
• Huang S, Hsu CHC (2009) Effects of travel motivation, past experience, perceived constraint, and attitude on revisit intention. J. Travel Res. 48(1):29–44.Crossref, Google Scholar
• Hubspot (2011) The 2011 state of inbound marketing. Accessed October 8, 2015, http://cdn2.hubspot.net/hub/53/file-13222134-pdf/docs/ebooks/the2011stateofinboundmarketingfinal.pdf.Google Scholar
• Infographics (2010) Facebook facts and figures (history and statistics). Accessed October 8, 2015, http://www.supermonitoring.com/blog/facebook-facts-and-figures-history-statistics/.Google Scholar
• Infographics (2012) Facebook 2012—Facts and figures. Accessed October 8, 2015, http://www.supermonitoring.com/blog/facebook-2012-facts-and-figures-infographic/.Google Scholar
• Irani Z, Dwivedi YK, Williams MD (2009) Understanding consumer adoption of broadband: An extension of the technology acceptance model. J. Oper. Res. Soc. 60(10):1322–1334.Crossref, Google Scholar
• Jung NY, Kim S, Kim S (2014) Influence of consumer attitude toward online brand community on revisit intention and brand trust. J. Retailing Consumer Services 21(4):581–589.Crossref, Google Scholar
• Kang YS, Lee H (2010) Understanding the role of an IT artifact in online service continuance: An extended perspective of user satisfaction. Comput. Human Behav. 26(3):353–364.Crossref, Google Scholar
• Kaplan AM, Haenlein M (2010) Users of the world, unite! The challenges and opportunities of social media. Bus. Horizons 53(1):59–68.Crossref, Google Scholar
• Khang H, Han EK, Ki EJ (2014) Exploring influential social cognitive determinants of social media use. Comput. Human Behav. 36(July):48–55.Crossref, Google Scholar
• Kim SS, Malhotra NK, Narasimhan S (2005) Two completing perspectives on automatic use: A theoretical and empirical comparison. Inform. Systems Res. 16(4):418–432.Link, Google Scholar
• Kim YH, Kim MC, Goh BK (2011) An examination of food tourist’s behavior: Using the modified theory of reasoned action. Tourism Management 32(5):1159–1165.Crossref, Google Scholar
• Kline RB (2011) Principles and Practice of Structural Equation Modelling, 3rd ed. (Guilford Press, New York).Google Scholar
• Koh J, Kim YG, Butler B, Bock GW (2007) Encouraging participation in virtual communities. Comm. ACM 50(2):69–73.Crossref, Google Scholar
• Lapowsky I (2014) Why teens are the most elusive and valuable customers in tech. Accessed October 8, 2015, http://www.inc.com/issie-lapowsky/inside-massive-tech-land-grab-teenagers.html.Google Scholar
• LaRose R, Eastin MS (2004) A social cognitive theory of internet uses and gratifications: Toward a new model of media attendance. J. Broadcasting Electronic Media 48(3):358–377.Crossref, Google Scholar
• Lee SG (2003) An integrative study of mobile technology adoption based on the technology acceptance model, theory of planned behavior and diffusion of innovation theory. Dissertation paper AAI3104619, University of Nebraska, Lincoln.Google Scholar
• Lenhart A (2015) Teens, Social Media and Technology Overview 2015. Pew Research Center. Accessed October 8, 2015, http://www.pewinternet.org/files/2015/04/PI_TeensandTech_Update2015_0409151.pdf.Google Scholar
• Limayem M, Hirt SG, Cheung CM (2007) How habit limits the predictive power of intention: The case of information systems continuance. MIS Quart. 31(4):705–737.Crossref, Google Scholar
• Lin KY, Lu HP (2011) Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Comput. Human Behav. 27(3):1152–1161.Crossref, Google Scholar
• Lipsman A, Mudd G, Rich M, Bruich S (2012) The power of “like”: How brands reach (and influence) fans through social media marketing. J. Advertising Res. 52(1):40–52.Crossref, Google Scholar
• Lu Y, Zhou T, Wang B (2009) Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Comput. Human Behav. 25(1):29–39.Crossref, Google Scholar
• Mäntymäki M, Riemer K (2014) Digital natives in social virtual worlds: A multi-method study of gratifications and social influences in Habbo Hotel. Internat. J. Inform. Management 34(2):210–220.Crossref, Google Scholar
• Mäntymäki M, Salo J (2011) Teenagers in social virtual worlds: Continuous use and purchasing behavior in Habbo Hotel. Comput. Human Behav. 27(6):2088–2097.Crossref, Google Scholar
• Mäntymäki M, Salo J (2015) Why do teens spend real money in virtual worlds? A consumption values and developmental psychology perspective on virtual consumption. Internat. J. Inform. Management 35(1):124–134.Crossref, Google Scholar
• McAlexander JH, Schouten JW, Koeing HF (2002) Building brand community. J. Marketing 66(1):38–54.Crossref, Google Scholar
• Muk A, Chung C (2014) Driving consumers to become fans to brand pages: A theoretical framework. J. Interactive Advertising 14(1):1–10.Crossref, Google Scholar
• Muniz AM, O’Guinn TC (2001) Brand community. J. Consumer Res. 27(4):412–432.Crossref, Google Scholar
• Muniz AM, Schau HJ (2007) Vigilante marketing and consumer-created communications. J. Advertising 36(3):35–50.Crossref, Google Scholar
• Muntinga DG, Moorman M, Smit EG (2011) Introducing COBRA’s: Exploring motivations for brand-related social media use. Internal J. Advertising 30(1):13–46.Crossref, Google Scholar
• Park H, Kim YK (2014) The role of social network websites in the consumer-brand relationship. J. Retailing Consumer Services 21(4):460–467.Crossref, Google Scholar
• Park N, Kee KF, Valenzuela S (2009) Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes. Cyberpsychology Behav. 12(6):729–733.Crossref, Google Scholar
• Pavlou PA, Liang HG, Xue YJ (2007) Understanding and mitigating uncertainty in online exchange relationships: A principal-agent perspective. MIS Quart. 31(1):105–136.Crossref, Google Scholar
• Peter JP, Olson JC (2010) Consumer Behavior and Marketing Strategy, 9th ed. (McGraw-Hill, New York).Google Scholar
• Pew Statistics (2012) Teens fact sheet. Accessed October 8, 2015, http://www.pewinternet.org/fact-sheets/teens-fact-sheet/.Google Scholar
• Preacher KJ, Hayes AF (2004) SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav. Res. Methods, Instruments Comput. 36(4):717–731.Crossref, Google Scholar
• Preacher KJ, Hayes AF (2008) Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav. Res. Methods 40(3):879–891.Crossref, Google Scholar
• Raacke J, Bonds-Raacke JB (2008) MySpace and Facebook: Applying the uses and gratifications theory to exploring friend-networking sites. Cyberpsychology Behav. 11(2):169–174.Crossref, Google Scholar
• Roesler P (2015) 10 stats to help marketers reach teens and young adults. Accessed October 8, 2015, http://www.bizjournals.com/bizjournals/how-to/marketing/2015/04/stats-to-help-marketers-reach-young-adults.html?page=all.Google Scholar
• Rubin AM (1983) Television uses and gratifications: The interactions of viewing patterns and motivations. J. Broadcasting 27(1):37–51.Crossref, Google Scholar
• Ruiz-Mafe C, Martí-Parreño J, Sanz-Blas S (2014) Key drivers of consumer loyalty to Facebook fan pages. Online Inform. Rev. 38(3):362–380.Crossref, Google Scholar
• Sapio B, Turk T, Cornacchia M, Papa F, Nicolò E, Livi S (2010) Building scenarios of digital television adoption: A pilot study. Tech. Anal. Strategic Management 22(1):43–63.Crossref, Google Scholar
• Schau HJ, Muniz AM, Arnould EJ (2009) How brand community practices create value. J. Marketing 73(5):30–51.Crossref, Google Scholar
• Schwarz A, Schwarz C, Jung Y, Perez B, Wiley-Patton S (2012) Towards an understanding of assimilation in virtual worlds: The 3C approach. Eur. J. Inform. Systems 21(3):303–320.Crossref, Google Scholar
• Severin WJ, Tankard JW (1997) Communication Theories Origins, Methods, and Uses in the Mass Media, 4th ed. (Longman, White Plains, NY).Google Scholar
• Sledgianowski D, Kulviwat S (2009) Using social network sites: The effects of playfulness, critical mass and trust in a hedonic context. J. Comput. Inform. Systems 49(4):74–83.Crossref, Google Scholar
• Stafford TF, Stafford MR, Schkade LL (2004) Determining uses and gratifications for the Internet. Decision Sci. 35(2):259–288.Crossref, Google Scholar
• Sysomos Inc. (2009) Inside Facebook pages. Accessed July 30, 2014, http://www.sysomos.com/insidefacebook/.Google Scholar
• van der Heijden H (2004) User acceptance of hedonic information systems. MIS Quart. 28(4):695–704.Crossref, Google Scholar
• Venkatesh V, Thong J, Xu X (2012) Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quart. 36(1):157–178.Crossref, Google Scholar
• Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: Toward a unified view. MIS Quart. 27(3):425–478.Crossref, Google Scholar
• Vijayasarathy LR (2004) Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Inform. Management 41(6):747–762.Crossref, Google Scholar
• Villanueva LJ (2015) Why companies should see teenagers as “business partners.” Accessed October 8, 2015, http://www.theguardian.com/sustainable-business/companies-teenagers-business-partners.Google Scholar
• Von Hippel E (2005) Democratizing Innovation (MIT Press, Cambridge, MA).Crossref, Google Scholar
• Vorvoreanu M (2009) Perceptions of corporations on Facebook: An analysis of Facebook social norms. J. New Comm. Res. 4(1):67–86.Google Scholar
• Wallace E, Buil I, de Chernatony L (2014) Consumer engagement with self-expressive brands: Brand love and WOM outcomes. J. Product and Brand Management 23(1):33–42.Crossref, Google Scholar
• Werner-Wilson RJ, Fitzharris JL, Morrissey KM (2004) Adolescent and parent perceptions of media influence on adolescent sexuality. Adolescence 39(154):303–313.Google Scholar
• Zaglia ME (2013) Brand communities embedded in social networks. J. Bus. Res. 66(2):216–223.Crossref, Google Scholar
• Zhou T (2011) Understanding online community user participation: A social influence perspective. Internet Res. 21(1):67–81.Crossref, Google Scholar
• Zhou T, Lu Y, Wang B (2010a) Integrating TTF and UTAUT to explain mobile banking user adoption. Comput. Human Behav. 26(4):760–767.Crossref, Google Scholar
• Zhou X, Lynch JG, Chen Q (2010b) Reconsidering Baron and Kenny: Myths and truths about mediation analysis. J. Consumer Res. 37(2):197–206.Crossref, Google Scholar