References
- Abelein, U., & Paech, B. (2015). Understanding the influence of user participation and involvement on system success–A systematic mapping study. Empirical Software Engineering, 20(1), 28–81. https://doi.org/10.1007/s10664-013-9278-4
- Agarwal, N., Kumar, S., Gao, H., Zafarani, R., & Liu, H. (2012). Analyzing behavior of the influentials across social media. In Cao, L., Yu, P. S., (eds), Behavior Computing (pp. 3–19). London: Springer.
- Agneessens, F., Borgatti, S. P., & Everett, M. G. (2017). Geodesic based centrality: Unifying the local and the global. Social Networks, 49, 12–26. https://doi.org/10.1016/j.socnet.2016.09.005
- Aral, S., Muchnik, L., & Sundararajan, A. (2009). Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks. Proceedings of the National Academy of Sciences, 106(51), 21544–21549. https://doi.org/10.1073/pnas.0908800106
- Aral, S., & Walker, D. (2012). Identifying influential and susceptible members of social networks. Science, 337(6092), 337–341. https://doi.org/10.1126/science.1215842
- Bano, M., & Zowghi, D. (2015). A systematic review on the relationship between user involvement and system success. Information and Software Technology, 58, 148–169. https://doi.org/10.1016/j.infsof.2014.06.011
- Bano, M., Zowghi, D., & da Rimini, F. (2017). User satisfaction and system success: an empirical exploration of user involvement in software development. Empirical Software Engineering, 22(5), 2339–2372. https://doi.org/10.1007/s10664-016-9465-1
- Bapna, R., & Umyarov, A. (2015). Do your online friends make you pay? A randomized field experiment on peer influence in online social networks. Management Science, 61(8), 1902–1920. https://doi.org/10.1287/mnsc.2014.2081
- Bavelas, A. (1950). Communication patterns in task-oriented groups. The Journal of the Acoustical Society of America, 22(6), 725–730. https://doi.org/10.1121/1.1906679
- Bayus, B. L. (2013). Crowdsourcing new product ideas over time: an analysis of the Dell IdeaStorm community. Management Science, 59(1), 226–244. https://doi.org/10.1287/mnsc.1120.1599
- Behrens, T. E., Hunt, L. T., Woolrich, M. W., & Rushworth, M. F. (2008). Associative learning of social value. Nature, 456(7219), 245. https://doi.org/10.1038/nature07538
- Bock, G.-W., Kankanhalli, A., & Sharma, S. (2006). Are norms enough? The role of collaborative norms in promoting organizational knowledge seeking. European Journal of Information Systems, 15(4), 357–367. https://doi.org/10.1057/palgrave.ejis.3000630
- Bolino, M. C., Turnley, W. H., & Bloodgood, J. M. (2002). Citizenship behavior and the creation of social capital in organizations. Academy of Management Review, 27(4), 505–522. https://doi.org/10.5465/amr.2002.7566023
- Bowler, W. M., Halbesleben, J. R., Stodnick, M., Seevers, M. T., & Little, L. M. (2009). The moderating effect of communication network centrality on motive to perform interpersonal citizenship. Journal of Managerial Issues, 21(1), 80–96. http://www.jstor.org/stable/10.2307/40604635
- Brandes, U. (2001). A faster algorithm for betweenness centrality. Journal of Mathematical Sociology, 25(2), 163–177. https://doi.org/10.1080/0022250X.2001.9990249
- Brandes, U., Borgatti, S. P., & Freeman, L. C. (2016). Maintaining the duality of closeness and betweenness centrality. Social Networks, 44, 153–159. https://doi.org/10.1016/j.socnet.2015.08.003
- Burger-Helmchen, T., & Cohendet, P. (2011). User communities and social software in the video game industry. Long Range Planning, 44(5–6), 317–343. https://doi.org/10.1016/j.lrp.2011.09.003
- Burt, R. S. (2010). Structural holes: The social structure of competition. Harvard University Press.
- Carboni, I., & Ehrlich, K. (2013). The effect of relational and team characteristics on individual performance: a social network perspective. Human Resource Management, 52(4), 511–535. https://doi.org/10.1002/hrm.21539
- Chan, K. W., & Li, S. Y. (2010). Understanding consumer-to-consumer interactions in virtual communities: the salience of reciprocity. Journal of Business Research, 63(9–10), 1033–1040. https://doi.org/10.1016/j.jbusres.2008.08.009
- Chen, C.-J., & Hung, S.-W. (2010). To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities. Information & Management, 47(4), 226–236. https://doi.org/10.1016/j.im.2010.03.001
- Chen, W., Wei, X., & Zhu, K. (2018). Engaging voluntary contributions in online communities: A hidden markov model. MIS Quarterly, 42(1), 83–100. https://doi.org/10.25300/MISQ/2018/14196
- Cheung, C. M., Liu, I. L., & Lee, M. K. (2015). How online social interactions influence customer information contribution behavior in online social shopping communities: A social learning theory perspective. Journal of the Association for Information Science and Technology, 66(12), 2511–2521. https://doi.org/10.1002/asi.23340
- Choraria, S. (2012). Factors determining the flow of information among the online community users. Journal of Systems and Information Technology, 14(2), 105–122. https://doi.org/10.1108/13287261211232135
- Cohen, L. E., & Broschak, J. P. (2013). Whose jobs are these? The impact of the proportion of female managers on the number of new management jobs filled by women versus men. Administrative Science Quarterly, 58(4), 509–541. https://doi.org/10.1177/0001839213504403
- Colazo, J. (2014). Performance implications of stage-wise lead user participation in software development problem solving. Decision Support Systems, 67, 100–108. https://doi.org/10.1016/j.dss.2014.08.007
- Corkindale, D., Ram, J., & Chen, H. (2018). The adoption of firm-hosted online communities: an empirical investigation into the role of service quality and social interactions. Enterprise Information Systems, 12(2), 173–195. https://doi.org/10.1080/17517575.2017.1287431
- Cui, A. S., & Wu, F. (2016). Utilizing customer knowledge in innovation: antecedents and impact of customer involvement on new product performance. Journal of the Academy of Marketing Science, 44(4), 516–538. https://doi.org/10.1007/s11747-015-0433-x
- De Almeida, S. O., Dholakia, U. M., Hernandez, J. M. C., & Mazzon, J. A. (2014). The mixed effects of participant diversity and expressive freedom in online peer-to-peer problem solving communities. Journal of Interactive Marketing, 28(3), 196–209. https://doi.org/10.1016/j.intmar.2014.02.003
- de Matos, G., Ferreira, M., & Krackhardt, D. (2014). Peer influence in the diffusion of the iPhone 3G over a large social network. Management Information Systems Quarterly, 38(4), 1103–1133. https://doi.org/10.25300/MISQ/2014/38.4.08
- De Vries, L., Gensler, S., & Leeflang, P. S. (2012). Popularity of brand posts on brand fan pages: an investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2), 83–91. https://doi.org/10.1016/j.intmar.2012.01.003
- Devineni, P., Koutra, D., Faloutsos, M., & Faloutsos, C. (2017). Facebook wall posts: a model of user behaviors. Social Network Analysis and Mining, 7(1), 6. https://doi.org/10.1007/s13278-017-0422-9
- Forsgren, N., Sabherwal, R., Durcikova, A., Rowe, F., & Hardin, A. (2018). Knowledge exchange roles and EKR performance impact: Extending the theory of knowledge reuse. European Journal of Information Systems, 27(1), 3–21. https://doi.org/10.1080/0960085X.2017.1386833
- Fredman, P. (2008). Determinants of visitor expenditures in mountain tourism. Tourism Economics, 14(2), 297–311. https://doi.org/10.5367/000000008784460418
- Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35–41. https://doi.org/10.2307/3033543
- Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215–239. https://doi.org/10.1016/0378-8733(78)90021-7
- Füller, J., Jawecki, G., & Mühlbacher, H. (2007). Innovation creation by online basketball communities. Journal of Business Research, 60(1), 60–71. https://doi.org/10.1016/j.jbusres.2006.09.019
- Gerow, J. E., Ayyagari, R., Thatcher, J. B., & Roth, P. L. (2013). Can we have fun@ work? The role of intrinsic motivation for utilitarian systems. European Journal of Information Systems, 22(3), 360–380. https://doi.org/10.1057/ejis.2012.25
- Goes, P. B., Guo, C., & Lin, M. (2016). Do incentive hierarchies induce user effort? Evidence from an online knowledge exchange. Information Systems Research, 27(3), 497–516. https://doi.org/10.1287/isre.2016.0635
- Granovetter, M. (1985). Economic action and social structure: the problem of embeddedness. American Journal of Sociology, 91(3), 481–510. https://doi.org/10.1086/228311
- Granovetter, M. (1992). Problems of explanation in economic sociology. In N. Nohria & R. Eccles (Eds.), Networks and organizations: Structure, form, and action (pp. 25–56). Harvard Business School Press.
- Grewal, R., Mehta, R., & Kardes, F. R. (2000). The role of the social-identity function of attitudes in consumer innovativeness and opinion leadership. Journal Of Economic Psychology, 21(3), 233–252. https://doi.org/10.1016/S0167-4870(00)00003-9
- Guo, W., Liang, R.-Y., Wang, L., & Peng, W. (2017). Exploring sustained participation in firm-hosted communities in China: the effects of social capital and active degree. Behaviour & Information Technology, 36(3), 223–242. https://doi.org/10.1080/0144929X.2016.1212402
- Hayes, A. F., & Cai, L. (2007). Using heteroskedasticity-consistent standard error estimators in OLS regression: an introduction and software implementation. Behavior Research Methods, 39(4), 709–722. https://doi.org/10.3758/BF03192961
- He, J., & King, W. R. (2008). The role of user participation in information systems development: implications from a meta-analysis. Journal of Management Information Systems, 25(1), 301–331. https://doi.org/10.2753/MIS0742-1222250111
- Hoda, R., Noble, J., & Marshall, S. (2011). The impact of inadequate customer collaboration on self-organizing Agile teams. Information and Software Technology, 53(5), 521–534. https://doi.org/10.1016/j.infsof.2010.10.009
- Hoon, H., & Tan, T. M. L. (2008). Organizational citizenship behavior and social loafing: the role of personality, motives, and contextual factors. The Journal of Psychology, 142(1), 89–108. https://doi.org/10.3200/JRLP.142.1.89-112
- Horng, S.-M. (2016). A study of active and passive user participation in virtual communities. Journal of Electronic Commerce Research, 17(4), 289–311. http://www.jecr.org/sites/default/files/2016vol17no4_Paper2.pdf
- Hsu, C.-L., & Lin, J.-C.-C. (2008). Acceptance of blog usage: the roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45(1), 65–74. https://doi.org/10.1016/j.im.2007.11.001
- Hu, M., Zhang, M., & Luo, N. (2016). Understanding participation on video sharing communities: the role of self-construal and community interactivity. Computers in Human Behavior, 62, 105–115. https://doi.org/10.1016/j.chb.2016.03.077
- Huang, P., & Zhang, Z. (2016). Participation in open knowledge communities and job-hopping: evidence from enterprise software. MIS Quarterly, 40(3), 785–806. https://doi.org/10.25300/MISQ/2016/40.3.13
- Inkpen, A. C., & Tsang, E. W. (2005). Social capital, networks, and knowledge transfer. Academy of Management Review, 30(1), 146–165. https://doi.org/10.5465/amr.2005.15281445
- Jurczyk, P., & Agichtein, E. (2007, November). Discovering authorities in question answer communities by using link analysis. Proceedings of the Sixteenth ACM Conference on Conference on Information and Knowledge Management, (pp. 919–922). Lisbon, Portuga. https://doi.org/10.1145/1321440.1321575
- Kang, K., Kwak, M., & Shin, S. K. (2018). A calculus of virtual community knowledge intentions: anonymity and perceived network-structure. Journal of Computer Information Systems, 58(2), 110–121. https://doi.org/10.1080/08874417.2016.1204637
- Kang, K. & Shin, S. K. (2014). Perceived network structure, self-efficacy and other individual motivations as antecedents of knowledge exchange intentions in virtual knowledge communities. International Journal of the Academic Business World, 8(1), 1–9. https://jwpress.com/Journals/IJABW/BackIssues/IJABW-Spring-2014.pdf#page=9
- Khansa, L., Ma, X., Liginlal, D., & Kim, S. S. (2015). Understanding members’ active participation in online question-and-answer communities: a theory and empirical analysis. Journal of Management Information Systems, 32(2), 162–203. https://doi.org/10.1080/07421222.2015.1063293
- Klehe, U. C., & Anderson, N. (2007). The moderating influence of personality and culture on social loafing in typical versus maximum performance situations. International Journal of Selection and Assessment, 15(2), 250–262. https://doi.org/10.1111/j.1468-2389.2007.00385.x
- Kordzadeh, N., Liu, C., Au, Y. A., & Clark, J. G. (2014). A multilevel investigation of participation within virtual health communities. Communications of the Association for Information Systems, 34, 493–512. https://doi.org/10.17705/1CAIS.03426
- Kroenke, D. M., & Boyle, R. J. (2015). Using MIS. Prentice Hall Press.
- Lai, H.-M., Chen, C.-P., & Chang, Y.-F. (2014). Determinants of knowledge seeking in professional virtual communities. Behaviour & Information Technology, 33(5), 522–535. https://doi.org/10.1080/0144929X.2013.864709
- Lee, S., Park, G., Yoon, B., & Park, J. (2010). Open innovation in SMEs—An intermediated network model. Research Policy, 39(2), 290–300. https://doi.org/10.1016/j.respol.2009.12.009
- Lee, S. H., Cotte, J., & Noseworthy, T. J. (2010). The role of network centrality in the flow of consumer influence. Journal of Consumer Psychology, 20(1), 66–77. https://doi.org/10.1016/j.jcps.2009.10.001
- Li, E. Y., Liao, C. H., & Yen, H. R. (2013). Co-authorship networks and research impact: a social capital perspective. Research Policy, 42(9), 1515–1530. https://doi.org/10.1016/j.respol.2013.06.012
- Liao, J., Huang, M., & Xiao, B. (2017). Promoting continual member participation in firm-hosted online brand communities: an organizational socialization approach. Journal of Business Research, 71, 92–101. https://doi.org/10.1016/j.jbusres.2016.10.013
- Liden, R. C., Wayne, S. J., Jaworski, R. A., & Bennett, N. (2004). Social loafing: A field investigation. Journal of Management, 30(2), 285–304. https://doi.org/10.1016/j.jm.2003.02.002
- Lin, F.-J. (2008). Solving multicollinearity in the process of fitting regression model using the nested estimate procedure. Quality & Quantity, 42(3), 417–426. https://doi.org/10.1007/s11135-006-9055-1
- Liu, H., Zhang, J., Liu, R., & Li, G. (2014). A model for consumer knowledge contribution behavior: the roles of host firm management practices, technology effectiveness, and social capital. Information Technology and Management, 15(4), 255–270. https://doi.org/10.1007/s10799-014-0199-8
- Liu, L., Cheung, C. M., & Lee, M. K. (2016). An empirical investigation of information sharing behavior on social commerce sites. International Journal of Information Management, 36(5), 686–699. https://doi.org/10.1016/j.ijinfomgt.2016.03.013
- Lu, Y., & Yang, D. (2011). Information exchange in virtual communities under extreme disaster conditions. Decision Support Systems, 50(2), 529–538. https://doi.org/10.1016/j.dss.2010.11.011
- Lynch, T., & Gregor, S. (2004). User participation in decision support systems development: influencing system outcomes. European Journal of Information Systems, 13(4), 286–301. https://doi.org/10.1057/palgrave.ejis.3000512
- Ma, M., & Agarwal, R. (2007). Through a glass darkly: Information technology design, identity verification, and knowledge contribution in online communities. Information Systems Research, 18(1), 42–67. https://doi.org/10.1287/isre.1070.0113
- Malthouse, E. C., Haenlein, M., Skiera, B., Wege, E., & Zhang, M. (2013). Managing customer relationships in the social media era: introducing the social CRM house. Journal of Interactive Marketing, 27(4), 270–280. https://doi.org/10.1016/j.intmar.2013.09.008
- McEvily, B., Perrone, V., & Zaheer, A. (2003). Trust as an organizing principle. Organization Science, 14(1), 91–103. https://doi.org/10.1287/orsc.14.1.91.12814
- Mehra, A., Kilduff, M., & Brass, D. J. (2001). The social networks of high and low self-monitors: implications for workplace performance. Administrative Science Quarterly, 46(1), 121–146. https://doi.org/10.2307/2667127
- Misra, S. C., Kumar, V., & Kumar, U. Identifying some important success factors in adopting agile software development practices. (2009). Journal of Systems and Software, 82(11), 1869–1890. Journal of Systems and Software. https://doi.org/10.1016/j.jss.2009.05.052
- Moran, P. (2005). Structural vs. relational embeddedness: social capital and managerial performance. Strategic Management Journal, 26(12), 1129–1151. https://doi.org/10.1002/smj.486
- Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. Academy of Management Review, 23(2), 242–266. https://doi.org/10.5465/amr.1998.533225
- Nambisan, S., & Baron, R. A. (2007). Interactions in virtual customer environments: Implications for product support and customer relationship management. Journal of Interactive Marketing, 21(2), 42–62. https://doi.org/10.1002/dir.20077
- Nambisan, S., & Baron, R. A. (2010). Different roles, different strokes: Organizing virtual customer environments to promote two types of customer contributions. Organization Science, 21(2), 554–572. https://doi.org/10.1287/orsc.1090.0460
- Nevo, D., Benbasat, I., & Wand, Y. (2012). The knowledge demands of expertise seekers in two different contexts: Knowledge allocation versus knowledge retrieval. Decision Support Systems, 53(3), 482–489. https://doi.org/10.1016/j.dss.2012.03.005
- Nistor, N., Baltes, B., Dascălu, M., Mihăilă, D., Smeaton, G., & Trăuşan-Matu, Ş. (2014). Participation in virtual academic communities of practice under the influence of technology acceptance and community factors. A learning analytics application. Computers in Human Behavior, 34, 339–344. https://doi.org/10.1016/j.chb.2013.10.051
- Noel, H., & Nyhan, B. (2011). The “unfriending” problem: the consequences of homophily in friendship retention for causal estimates of social influence. Social Networks, 33(3), 211–218. https://doi.org/10.1016/j.socnet.2011.05.003
- Okoli, C., & Oh, W. (2007). Investigating recognition-based performance in an open content community: a social capital perspective. Information & Management, 44(3), 240–252. https://doi.org/10.1016/j.im.2006.12.007
- Park, H., & Cho, H. (2012). Social network online communities: information sources for apparel shopping. Journal of Consumer Marketing, 29(6), 400–411. https://doi.org/10.1108/07363761211259214
- 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. https://doi.org/10.1016/j.chb.2013.10.002
- Perry-Smith, J. E., & Shalley, C. E. (2003). The social side of creativity: A static and dynamic social network perspective. Academy of Management Review, 28(1), 89–106. https://doi.org/10.5465/amr.2003.8925236
- Phang, C. W., Zhang, C., & Sutanto, J. (2013). The influence of user interaction and participation in social media on the consumption intention of niche products. Information & Management, 50(8), 661–672. https://doi.org/10.1016/j.im.2013.07.001
- Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31(4), 437–448. https://doi.org/10.3102/10769986031004437
- Putnam, R. D. (1995). Tuning in, tuning out: The strange disappearance of social capital in America. PS, Political Science & Politics, 28(4), 664–683. https://doi.org/10.2307/420517
- Qiu, L., Tang, Q., & Whinston, A. B. (2015). Two formulas for success in social media: learning and network effects. Journal of Management Information Systems, 32(4), 78–108. https://doi.org/10.1080/07421222.2015.1138368
- Rafiei, M., & Kardan, A. A. (2015). A novel method for expert finding in online communities based on concept map and PageRank. Human-centric Computing and Information Sciences, 5(1), 10. https://doi.org/10.1186/s13673-015-0030-5
- Rai, A., Maruping, L. M., & Venkatesh, V. (2009). Offshore information systems project success: the role of social embeddedness and cultural characteristics. MIS Quarterly, 33(3), 617–641. https://doi.org/10.2307/20650313
- Rashid, M., Clarke, P. M., & O’Connor, R. V. (2019). A systematic examination of knowledge loss in open source software projects. International Journal of Information Management, 46, 104–123. https://doi.org/10.1016/j.ijinfomgt.2018.11.015
- Remondino, M., & Boella, G. (2010). How users’ participation affects reputation management systems: the case of P2P networks. Simulation Modelling Practice and Theory, 18(10), 1493–1505. https://doi.org/10.1016/j.simpat.2010.05.010
- Rodriguez, A., Kim, B., Lee, J.-M., Coh, B.-Y., & Jeong, M. K. (2015). Graph kernel based measure for evaluating the influence of patents in a patent citation network. Expert Systems with Applications, 42(3), 1479–1486. https://doi.org/10.1016/j.eswa.2014.08.051
- Rotolo, D., & Messeni Petruzzelli, A. (2013). When does centrality matter? Scientific productivity and the moderating role of research specialization and cross-community ties. Journal of Organizational Behavior, 34(5), 648–670. https://doi.org/10.1002/job.1822
- Saldanha, T. J., Mithas, S., & Krishnan, M. S. (2017). Leveraging customer involvement for fueling innovation: the role of relational and analytical information processing capabilities. MIS Quarterly, 41(1), 267–286. https://doi.org/10.25300/MISQ/2017/41.1.14
- Saleem, N. (1996). An empirical test of the contingency approach to user participation in information systems development. Journal of Management Information Systems, 13(1), 145–166. https://doi.org/10.1080/07421222.1996.11518116
- Schnake, M. E. (1991). Equity in effort: the “sucker effect” in co-acting groups. Journal of Management, 17(1), 41–55. https://doi.org/10.1177/014920639101700104
- Seçkin, G. (2010). Cyber patients surfing the medical web: computer-mediated medical knowledge and perceived benefits. Computers in Human Behavior, 26(6), 1694–1700. https://doi.org/10.1016/j.chb.2010.06.018
- Seyff, N., Todoran, I., Caluser, K., Singer, L., & Glinz, M. (2015). Using popular social network sites to support requirements elicitation, prioritization and negotiation. Journal of Internet Services and Applications, 6(1), 7. https://doi.org/10.1186/s13174-015-0021-9
- Shalizi, C. R., & Thomas, A. C. (2011). Homophily and contagion are generically confounded in observational social network studies. Sociological Methods & Research, 40(2), 211–239. https://doi.org/10.1177/0049124111404820
- Shiue, Y.-C., Chiu, C.-M., & Chang, -C.-C. (2010). Exploring and mitigating social loafing in online communities. Computers in Human Behavior, 26(4), 768–777. https://doi.org/10.1016/j.chb.2010.01.014
- Sivertstøl, N. (2018). Why help others? A study of consumers’ participation in online communities for customer support. Journal of the Knowledge Economy, 9(4), 1442–1476. https://doi.org/10.1007/s13132-016-0438-9
- Subramanyam, R., Weisstein, F. L., & Krishnan, M. S. (2010). User participation in software development projects. Communications of the ACM, 53(3), 137–141. https://doi.org/10.1145/1666420.1666455
- Sun, N., Rau, P. P.-L., & Ma, L. (2014). Understanding lurkers in online communities: a literature review. Computers in Human Behavior, 38, 110–117. https://doi.org/10.1016/j.chb.2014.05.022
- Sykes, T. A., Venkatesh, V., & Gosain, S. (2009). Model of acceptance with peer support: a social network perspective to understand employees’ system use. MIS Quarterly, 33(2), 371–393. https://doi.org/10.2307/20650296
- Tang, J.-H., & Yang, H.-L. (2006). Emergent user roles and perceived requirements in a social-oriented community. Library Review, 55(8), 508–519. https://doi.org/10.1108/00242530610689356
- Thomas-Hunt, M. C., Ogden, T. Y., & Neale, M. A. (2003). Who’s really sharing? Effects of social and expert status on knowledge exchange within groups. Management Science, 49(4), 464–477. https://doi.org/10.1287/mnsc.49.4.464.14425
- Vargo, S. L., & Lusch, R. F. (2016). Institutions and axioms: an extension and update of service-dominant logic. Journal of the Academy of Marketing Science, 44(1), 5–23. https://doi.org/10.1007/s11747-015-0456-3
- Venkataramani, V., Green, S. G., & Schleicher, D. J. (2010). Well-connected leaders: the impact of leaders’ social network ties on LMX and members’ work attitudes. Journal of Applied Psychology, 95(6), 1071–1084. https://doi.org/10.1037/a0020214
- Von Krogh, G., Haefliger, S., Spaeth, S., & Wallin, M. W. (2012). Carrots and rainbows: motivation and social practice in open source software development. MIS Quarterly, 36(2), 649–676. https://doi.org/10.2307/41703471
- Wang, G., Liu, X., & Fan, W. (2011, December). A knowledge adoption model based framework for finding helpful user-generated contents in online communities. Thirty Second International Conference on Information Systems, (pp. 1–11). Shanghai, China. https://aisel.aisnet.org/icis2011/proceedings/knowledge/15
- Wang, Y., Ma, S. S., & Li, D. (2015). Customer participation in virtual brand communities: the self-construal perspective. Information & Management, 52(5), 577–587. https://doi.org/10.1016/j.im.2015.04.003
- Wasko, M. M., & Faraj, S. (2000). “It is what one does”: Why people participate and help others in electronic communities of practice. The Journal of Strategic Information Systems, 9(2–3), 155–173. https://doi.org/10.1016/S0963-8687(00)00045-7
- Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), 35–57. https://doi.org/10.2307/25148667
- Wiertz, C., & de Ruyter, K. (2007). Beyond the call of duty: why customers contribute to firm-hosted commercial online communities. Organization Studies, 28(3), 347–376. https://doi.org/10.1177/0170840607076003
- Wilkin, C. L., Campbell, J., & Moore, S. (2013). Creating value through governing IT deployment in a public/private-sector inter-organisational context: a human agency perspective. European Journal of Information Systems, 22(5), 498–511. https://doi.org/10.1057/ejis.2012.21
- Wong, -S.-S. (2008). Judgments about knowledge importance: the roles of social referents and network structure. Human Relations, 61(11), 1565–1591. https://doi.org/10.1177/0018726708096638
- Wooldridge, J. M. (2015). Introductory econometrics: a modern approach. Nelson Education.
- Yan, Q., Wu, L., & Zheng, L. (2013). Social network based microblog user behavior analysis. Physica A: Statistical Mechanics and Its Applications, 392(7), 1712–1723. https://doi.org/10.1016/j.physa.2012.12.008
- Yan, W., Zhang, Y., & Bromfield, W. (2018). Analyzing the follower–followee ratio to determine user characteristics and institutional participation differences among research universities on ResearchGate. Scientometrics, 115(1), 299–316. https://doi.org/10.1007/s11192-018-2637-6
- Yang, J., Sia, C. L., Liu, L., & Chen, H. (2016). Sellers versus buyers: differences in user information sharing on social commerce sites. Information Technology & People, 29(2), 444–470. https://doi.org/10.1108/ITP-01-2015-0002
- Yang, X., & Li, G. (2016). Factors influencing the popularity of customer-generated content in a company-hosted online co-creation community: a social capital perspective. Computers in Human Behavior, 64, 760–768. https://doi.org/10.1016/j.chb.2016.08.002
- Yuan, D., Lin, Z., & Zhuo, R. (2016). What drives consumer knowledge sharing in online travel communities?: personal attributes or e-service factors? Computers in Human Behavior, 63, 68–74. https://doi.org/10.1016/j.chb.2016.05.019
- Zha, X., Zhang, J., Yan, Y., & Xiao, Z. (2015). Does affinity matter? Slow effects of e-quality on information seeking in virtual communities. Library & Information Science Research, 37(1), 68–76. https://doi.org/10.1016/j.lisr.2014.04.003
- Zhang, C., Hahn, J., & De, P. (2013). Research note—Continued participation in online innovation communities: Does community response matter equally for everyone? Information Systems Research, 24(4), 1112–1130. https://doi.org/10.1287/isre.2013.0485
- Zhang, J., Ackerman, M. S., & Adamic, L. (2007, May). Expertise networks in online communities: structure and algorithms. Proceedings of the 16th International Conference on World Wide Web, (pp. 221–230). Banff, Alberta, Canada. https://doi.org/10.1145/1242572.1242603
- Zhang, X., & Venkatesh, V. (2017). A nomological network of knowledge management system use: Antecedents and consequences. MIS Quarterly, 41(4), 1275–1306. https://doi.org/10.25300/MISQ/2017/41.4.12
- Zhao, J., Ha, S., & Widdows, R. (2016). The influence of social capital on knowledge creation in online health communities. Information Technology and Management, 17(4), 311–321. https://doi.org/10.1007/s10799-014-0211-3
- Zhao, K., Zhang, B., & Bai, X. (2018). Estimating contextual motivating factors in virtual interorganizational communities of practice: peer effects and organizational influences. Information Systems Research, 29(4), 910–927. https://doi.org/10.1287/isre.2017.0752
- Zhao, L., Lu, Y., Wang, B., Chau, P. Y., & Zhang, L. (2012). Cultivating the sense of belonging and motivating user participation in virtual communities: a social capital perspective. International Journal of Information Management, 32(6), 574–588. https://doi.org/10.1016/j.ijinfomgt.2012.02.006
- Zheng, H., Li, D., Wu, J., & Xu, Y. (2014). The role of multidimensional social capital in crowdfunding: a comparative study in China and US. Information & Management, 51(4), 488–496. https://doi.org/10.1016/j.im.2014.03.003