Virtual communities (VCs) have become essential in current organizations and society, and so their sustainability is a topic of interest for researchers and practitioners. We focus on the sense of virtual community (SoVC) and commitment as relevant antecedents in achieving the success and maintenance of different types of VCs (communities of interest, virtual learning communities, and VCs of practice). Specifically, this study examines a moderated mediation model in which the type of VC moderates the indirect effect of a SoVC on the intention to continue through the perceived commitment of the users of the VC. The sample consists of 299 members of VCs. The results showed that SoVC influenced the intention to continue via commitment to VCs. Additionally, the relationship between SoVC and commitment was higher for communities of interest and virtual learning communities than for VCs of practice. This article contributes to previous literature by identifying the importance of participants’ engagement and the contingent effect of the type of community. Implications of the study and directions for future research are discussed.
AbfalterD.ZagliaM. E.MuellerJ. (2012). Sense of virtual community: A follow up on its measurement. Computers in Human Behavior, 28, 400–404. doi:10.1016/j.chb.2011.10.010
2.
AbouzahraM.TanJ. (2014, January6–9). The effect of community type on knowledge sharing incentives in online communities: A meta-analysis. Proceedings of the 2014 47th Hawaii International Conference on System Sciences, USA, 1765–1773.IEEE. doi:10.1109/HICSS.2014.224
3.
AghakhaniN.KarimiJ.SalehanM. (2018). A unified model for the adoption of electronic word of mouth on social network sites: Facebook as the exemplar. International Journal of Electronic Commerce, 22, 202–231.
4.
AikenL. S.WestS. G. (1991). Multiple regression: Testing and interpreting interactions. Thousand Oaks, CA: Sage.
5.
BatemanP. J.GrayP. H.ButlerB. S. (2011). Research note—The impact of community commitment on participation in online communities. Information Systems Research, 22, 841–854.
6.
BhattacherjeeA. (2001). Understanding information systems continuance: An expectation confirmation model. MIS Quarterly25, 351–370.
7.
BhattacherjeeA.LinC. P. (2015). A unified model of IT continuance: Three complementary perspectives and crossover effects. European Journal of Information Systems, 24, 364–373.
8.
BlanchardA. L. (2007). Developing a sense of virtual community measure. CyberPsychology & Behavior, 10, 827–830.
9.
BlanchardA. L. (2008). Testing a model of sense of virtual community. Computers in Human Behavior, 24, 2017–2123. doi:10.1016/j.chb.2007.10.002
10.
BlanchardA. L.AskayD.FrearK. (2010). Sense of community in professional virtual communities. In LongS. (Ed.), Communication, relationships and practices in virtual work (pp. 161–176). doi:10.4018/978-1-61520-979-8.ch009
11.
BlanchardA. L.MarkusL. (2002). Sense of virtual community—Maintaining the experience of belonging. Proceedings of the 35th Hawaii International Conference on System Sciences (pp. 3566–3575). IEEE. doi:10.1109/HICSS.2002.994449
12.
BlanchardA. L.MarkusM. L. (2004). The experienced “sense” of a virtual community: Characteristics and processes. The DATABASE for Advances in Information Systems, 35, 65–79.
13.
BlanchardA. L.WelbourneJ. L.BoughtonM. D. (2011). A model of online trust: The mediating role of norms and sense of virtual community. Information, Communication & Society, 14, 76–106.
14.
BockG. W.AhujaM. K.SuhA.YapL. X. (2015). Sustainability of a virtual community: Integrating individual and structural dynamics. Journal of the Association for Information Systems, 16, 418.
15.
BrandtzægP. B.HeimJ. (2009). Why people use social networking sites. Notes in Computer Science, 5621, 143–152.
16.
ByrneB. (2012). Structural equation modeling with Mplus: Basic concepts, applications, and programming. New York, NY: Routledge.
17.
ChangH. H.HsiehP.FuC. S. (2016). The mediating role of sense of virtual community. Online Information Review, 40, 882–899. doi:10.1108/OIR-09-2015-0304
18.
CharbandY.NavimipourN. J. (2016). Online knowledge sharing mechanisms: A systematic review of the state of the art literature and recommendations for future research. Information Systems Frontiers, 18, 1131–1151.
19.
ChenG. L.YangS. C.TangS. M. (2013). Sense of virtual community and knowledge contribution in a P3 virtual community: Motivation and experience. Internet Research, 23, 4–26.
20.
ChenI. Y. (2007). The factors influencing members’ continuance intentions in professional virtual communities—A longitudinal study. Journal of Information Science, 33, 451–467.
21.
CheungC. M. K.LeeM. K. O.LeeZ. W. Y. (2013). Understanding the continuance intention of knowledge sharing online communities of practice through the post-knowledge sharing evaluation processes. Journal of American Society for Information Science and Technology, 64, 1357–1374.
22.
ChiuC. M.HsuM. H.WangE. T. (2006). Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories. Decision Support Systems, 42, 1872–1888.
23.
CreswellJ. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.). Boston, MA: Pearson.
24.
De ValckK.LangerakF.VerhoefP. C.VerleghP. W. (2007). Satisfaction with virtual communities of interest: Effect on members’ visit frequency. British Journal of Management, 18, 241–256.
25.
DholakiaU. M.BagozziR. P.PearoL. K. (2004). A social influence model of consumer participation in network- and small-group based virtual communities. International Journal of Research in Marketing21, 241–263.
26.
EllemersN.KortekaasP.OuwerkerkJ. W. (1999). Selfcategorization, commitment to the group, and group selfesteem as related but distinct aspects of social identity. European Journal of Social Psychology, 29, 371–389.
27.
FangC.ZhangJ. (2019). Users’ continued participation behavior in social Q&A communities: A motivation perspective. Computers in Human Behavior, 92, 87–109.
28.
Ferran-UrdanetaC. (1999). Teams or communities? Organizational structures for knowledge management. In Proceedings of the 1999 ACM SIGCPR conference on computer Personnel Research (pp. 128–134). New York, NY: ACM.
29.
FieldA. (2009). Discovering statistics using SPSS. London, England: Sage.
30.
FischerG. (2001). Communities of interest: Learning through the interaction of multiple knowledge systems. In BjornestadS.MoeR.MorchA.OpdahlA. (Eds.), Proceedings of the 24th IRIS conference (pp. 1–14). Bergen, Norway: Department of Information Science.
31.
FrisonE.EggermontS. (2016). Exploring the relationships between different types of Facebook use, perceived online social support, and adolescents’ depressed mood. Social Science Computer Review, 34, 153–171.
32.
GableM. (2015). Efficiency, participation, and quality: Three dimensions of E-government?Social Science Computer Review, 33, 519–532.
33.
GangiP. M. D.WaskoM. (2009). The co-creation of value: Exploring user engagement in user-generated content websites. Proceedings of JAIS Theory Development Workshop. Sprouts: Working Papers on Information Systems, 9, 9–55.
34.
Gannon-LearyP.FontainhaE. (2007). Communities of practice and virtual learning communities: Benefits, barriers and success factors (pp. 20–29). Elearning Papers, No. 5. Barcelona, Spain: Pau Education-European comission. ISSN: 1887-1542.
35.
GerardJ. G. (2012). Linking in with LinkedIn®: Three exercises that enhance professional social networking and career building. Journal of Management Education, 36, 866–897.
36.
GharibR. K.PhilpottE.DuanY. (2017). Factors affecting active participation in B2B online communities: An empirical investigation. Information & Management, 54, 516–530.
37.
GravetterF.WallnauL. (2014). Essentials of statistics for the behavioral sciences (8th ed.). Belmont, CA: Wadsworth.
38.
GuoT. C.ChengZ. C. (2016). Sense of belonging based on novel posting: Individuals’ processes of social and psychological integration into virtual groups. Online Information Review, 40, 204–217.
39.
GuptaS.KimH. W. (2007). Developing the commitment to virtual community: The balanced effects of cognition and affect. Information Resources Management Journal, 20, 28–45.
40.
HayesA. F. (2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50, 1–22.
41.
HayesA. F. (2016). Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation. Manuscript under review.
42.
HayesA. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed.). New York, NY: Guilford Press.
43.
HayesA. F.MontoyaA. K. (2017). A tutorial on testing, visualizing, and probing an interaction involving a multicategorical variable in linear regression analysis. Communication Methods and Measures11, 1–30. doi:10.1080/19312458.2016.1271116
44.
HenriF.PudelkoB. (2003). Understanding and analysing activity and learning in virtual communities. Journal of Computer Assisted Learning, 19, 474.
45.
HiltzS. R.WellmanB. (1997). Asynchronous learning networks as a virtual classroom. Communications of the ACM, 40, 44–49.
46.
HoT. K.LinY. T. (2016). The effects of virtual communities on group identity in classroom management. Journal of Educational Computing Research, 54, 3–21.
47.
IyengarR.Van den BulteN.EichertJ.WestB.ValenteT. W. (2011). How social networks and opinion leaders affect the adoption of new products. GFK Marketing Review, 3, 16–25.
48.
KaplanA. M.HaenleinM. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53, 59–68.
49.
KimJ.ParkH. S. (2011). The effect of uniform virtual appearance on conformity intention: Social identity model of deindividuation effects and optimal distinctiveness theory. Computers in Human Behavior, 27, 1223–1230.
50.
KimK. Y.EisenbergerR.BaikK. (2016). Perceived organizational support and affective organizational commitment: Moderating influence of perceived organizational competence. Journal of Organizational Behavior, 37, 558–583.
51.
KirkmanB. L.MathieuJ. E.CorderyJ. L.RosenB.KukenbergerM. (2011). Managing a new collaborative entity in business organizations: Understanding organizational communities of practice effectiveness. Journal of Applied Psychology, 96, 1234–1245. doi:10.1037/a0024198
52.
KleinH. J.MolloyJ. C.BrinsfieldC. T. (2012). Reconceptualizing workplace commitment to redress a stretched construct: Revisiting assumptions and removing confounds. Academy of Management Review, 37, 130–151.
53.
KohJ.KimY. G. (2003). Sense of virtual community: A conceptual framework and empirical validation. International Journal of Electronic Commerce, 8, 75–93. Retrieved fromhttp://www.jstor.org/stable/27751097
54.
KozinetsR. V. (1999). E-tribalized marketing? The strategic implications of virtual communities of consumption. European Management Journal, 17, 252–264.
55.
LatifH.UçkunC. G.DemirB. (2015). Examining the relationship between e-social networks and the communication behaviors of generation 2000 (millennials) in Turkey. Social Science Computer Review, 33, 43–60.
56.
LauxD.LuseA.MenneckeB. E. (2016). Collaboration, connectedness, and community: An examination of the factors influencing student persistence in virtual communities. Computers in Human Behavior, 57, 452–464. doi:10.1016/j.chb.2015.12.046
57.
LeeE. S.ParkT. Y.KooB. (2015). Identifying organizational identification as a basis for attitudes and behaviors: A meta-analytic review. Psychological Bulletin, 141, 1049.
58.
LiH.LeeK. C. (2013). An interpersonal relationship framework for virtual community participation psychology: From covert to overt process. Social Science Computer Review, 31, 703–724. doi:10.1177/0894439313494665
59.
LiuD.AinsworthS. E.BaumeisterR. F. (2016). A metaanalysis of social networking online and social capital. Review of General Psychology, 20, 369–391. doi:10.1037/gpr0000091
60.
LüL.ZhangY.-C.YeungC. H.ZhouT. (2011). Leaders in social networks, the delicious case. PLoS ONE6, e21202. doi:10.1371/journal.pone.0021202
61.
LuoN.ZhangM.QiD. (2017). Effects of different interactionson students’ sense of community in e-learning environment. Computers & Education, 115, 153–160.
62.
LuoN.ZhangY.ZhangM. (2019). Retaining learners by establishing harmonious relationships in e-learning environment. Interactive Learning Environments, 27, 118–131.
63.
MacKinnonD. P.FairchildA. J.FritzM. S. (2007). Mediation analysis. Annual Review of Psychology, 58, 593. doi:10.1146/annurev.psych.58.110405.085542
64.
MajewskiG.UsoroA.KhanI. (2011). Knowledge sharing in immersive virtual communities of practice. Vine, 41, 41–62.
65.
MamonovS.KoufarisM.Benbunan- FichR. (2016). The role of the sense of community in the sustainability of social network sites. International Journal of Electronic Commerce, 20, 470–498. doi:10.1080/10864415.2016.1171974
66.
Martínez-LópezF. J.Anaya-SánchezR.Aguilar-IllescasR.MolinilloS. (2016). Types of virtual communities and virtual brand communities. In Martínez-LópezF. J.Anaya-SánchezR.Aguilar-IllescasR.MolinilloS. (eds), Online brand communities: Using the social web for branding and marketing. Progress in IS (pp. 125–140). Cham, Switzerland: Springer.
67.
MeirinhosM.OsorioA. (2009). Las comunidades virtuales de aprendizaje: El papel central de la colaboración [Virtual learning communities: The central role of collaboration]. Píxel bit. Revista de Medios y Educación, 3, 45–60.
68.
MeyerJ. P.StanleyD. J.HerscovitchL.TopolnyutskyL. (2002). Affective, continuance, and normative commitment to the organization: A meta-analysis of antecedents, correlates, and consequences. Journal of Vocational Behavior, 61, 20–52.
69.
MowdayR. T.SteersR. M.PorterL. W. (1979). The measurement of organizational commitment. Journal of Vocational Behavior, 14, 224–247.
70.
MullerD.JuddC. M.YzerbytV. Y. (2005). When moderation is mediated and mediation is moderated. Journal of Personality and Social Psychology, 89, 852–863.
71.
MuthénL. K.MuthénB. O. (1998–2011). Mplus User’s Guide (6th ed.). Los Angeles, CA: Muthén & Muthén.
72.
NabaviA.Taghavi-FardM. T.HanafizadehP.TaghvaM. R. (2016). Information technology continuance intention: A systematic literature review. International Journal of E-Business Research, 12, 58–95.
73.
OstromE. (2000). Collective action and the evolution of social norms. Journal of Economic Perspectives, 14, 137–158.
74.
PetersonN. A.SpeerP. W.McMillanD. W. (2008). Validation of a brief sense of community scale: Confirmation of the principal theory of sense of community. Journal of Community Psychology, 36, 61–73.
75.
PorterC. E. (2004). A typology of virtual communities: A multi-disciplinary foundation for future research. Journal of Computer-Mediated Communication, 10. doi:10.1111/j.1083-6101.2004.tb00228.x
76.
RavenA. (2003). Team or community of practice: Aligning tasks, structures, and technologies. In GibsonC. B.CohenS. G. (Eds.), Virtual teams that work: Creating conditions for virtual team effectiveness (pp. 292–306). San Francisco, CA: Jossey-Bass.
77.
ReicherS. D.SpearsR.PostmesT. (1995). A social identity model of deindividuation phenomena. In StroebeW.HewstoneM. (Eds.), European review of social psychology (Vol. 6., pp. 161–198). Chichester, England: Wiley.
78.
RidingsC.GefenD.ArinzeB. (2002). Some antecedents and effects of trust in virtual communities. The Journal of Strategic Information Systems, 11, 271–295.
79.
RosenD.LafontaineP. R.HendricksonB. (2011). CouchSurfing: Belonging and trust in a globally cooperative online social network. New Media & Society, 13, 981–998.
80.
RovaiA. P. (2002). Sense of community, perceived cognitive learning, and persistence in asynchronous learning networks. The Internet and Higher Education, 5, 319–332.
SpearsR.LeaM.LeeS. (1990). De-individuation and group polarization in computer-mediated communication. British Journal of Social Psychology, 29, 121–134.
83.
TalòC.MannariniT.RochiraA. (2014). Sense of community and community participation: A meta-analytic review. Social Indicators Research, 117, 1–28.
84.
TonteriL.KosonenM.EllonenH.TarkiainenA. (2011). Antecedents of an experienced sense of virtual community. Computers in Human Behavior, 27, 2215–2223. doi:10.1016/j.chb.2011.06.018
85.
Van Den HooffB.De RidderJ. A. (2004). Knowledge sharing in context: The influence of organizational commitment, communication climate and CMC use on knowledge sharing. Journal of Knowledge Management, 8, 117–130.
86.
Van den HooffB.van WeenenF. D. L. (2004). Committed to share: Commitment and CMC use as antecedents of knowledge sharing. Knowledge and Process Management, 11, 13–24.
87.
Van RossenbergY. G. T.KleinH. J.AsplundK.BenteinK.BreitsohlH.CohenA.…AliN. (2018). The future of workplace commitment: Key questions and directions. European Journal of Work and Organizational Psychology, 27, 153–167.
88.
WaskoM.FarajS. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29, 35–57.
89.
WielandA.DurachC. F.KembroJ.TreiblmaierH. (2017). Statistical and judgmental criteria for scale purification. Supply Chain Management: An International Journal, 22, 321–328.
90.
ZhangS.JiangH.CarrollJ. M. (2010). Social identity in Facebook community life. IGI Global, 64–76. doi:10.4018/jvcsn.2010100105
91.
ZhangW.JohnsonT. J.SeltzerT.BichardS. L. (2010). The revolution will be networked: The influence of social networking sites on political attitudes and behavior. Social Science Computer Review, 28, 75–92.
92.
ZhangZ. (2010). Feeling the sense of community in social networking usage. IEEE Transactions on Engineering Management, 57, 225–239. doi:10.1109/TEM.2009.2023455
93.
ZhaoK.StylianouA. C.ZhengY. (2013). Predicting users’ continuance intention in virtual communities: The dual intention-formation processes. Decision Support Systems, 55, 903–910.
94.
ZhaoX.LynchJ. G.JrChenQ. (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37, 197–206.
