The Rise of the Promoters: User Classes and Contribution Patterns in Enterprise Social Media

References

• Ancona, D.G., and Caldwell, D.F. Bridging the boundary: External activity and performance in organizational teams. Administrative Science Quarterly, 37, 4 (1992), 634–665.
   Web of Science ®Google Scholar
• Ancona, D.G., and Caldwell, D.F. Demography and design: Predictors of new product team performance. Organization Science, 3, 3 (1992), 321–341.
   Web of Science ®Google Scholar
• Bacher, J.; Wenzig, K.; and Vogler, M. SPSS twostep cluster: a first evaluation. 2004:23. https://www.ssoar.info/ssoar/handle/document/32715
   Google Scholar
• Baños, R.A.; Borge-Holthoefer, J.; Wang, N.; Moreno, Y.; and González-Bailón, S. Diffusion dynamics with changing network composition. Entropy, 15, 11 (2013), 4553–4568.
   Web of Science ®Google Scholar
• Beer, D.D. Social network(ing) sites… revisiting the story so far: A response to Danah Boyd and Nicole Ellison. Journal of Computer-Mediated Communication, 13, 2 (2008), 516–529.
   Web of Science ®Google Scholar
• Bélanger, F., and Crossler, R.E. Privacy in the digital age: A review of information privacy research in information systems. MIS Quarterly, 35, 4 (2011), 1017–1042.
   Web of Science ®Google Scholar
• Benkler, Y. The unselfish gene. Harvard Business Review, 89, 7/8 (2011), 77–85.
   Web of Science ®Google Scholar
• Bieber, M.; Engelbart, D.; Furuta, R.; Hiltz, S.R.; Noll, J.; Preece, J.; Stohr, E.A.; Turoff, M.; and Van De Walle, B. Toward virtual community knowledge evolution. Journal of Management Information Systems, 18, 4 (2002), 11–35.
   Web of Science ®Google Scholar
• Borgatti, S.P., and Everett, M.G. Models of core/periphery structures. Social Networks, 21, 4 (2000), 375–395.
   Web of Science ®Google Scholar
• Borgatti, S.P., and Foster, P.C. The network paradigm in organizational research: A review and typology. Journal of Management, 29, 6 (2003), 991–1013.
   Web of Science ®Google Scholar
• Burt, R.S. Network-related personality and the agency question: Multirole evidence from a virtual world. American Journal of Sociology, 118, 3 (2012), 543–591.
   Web of Science ®Google Scholar
• Butler, B.S. Membership size, communication activity, and sustainability: a resource-based model of online social structures. Information Systems Research, 12, 4 (2001), 346–362.
   Web of Science ®Google Scholar
• Chen, J.; Xu, H.; and Whinston, A.B. Moderated online communities and quality of user-generated content. Journal of Management Information Systems, 28, 2 (2011), 237–268.
   Web of Science ®Google Scholar
• Christensen, C., and Raynor, M. The Innovator’s Solution: Creating and Sustaining Successful Growth. Boston: Harvard Business Review Press, 2013.
   Google Scholar
• Collier, B., and Kraut, R. Leading the collective: Social capital and the development of leaders in core-periphery organizations. 2012. arXiv preprint arXiv:1204.3682.
   Google Scholar
• Constant, D.; Kiesler, S.; and Sproull, L. What’s mine is ours, or is it? A study of attitudes about information sharing. Information Systems Research, 5, 4 (1994), 400–421.
   Web of Science ®Google Scholar
• Constant, D.; Sproull, L.; and Kiesler, S. The kindness of strangers: The usefulness of electronic weak ties for technical advice. Organization Science, 7, 2 (1996), 119–135.
   Web of Science ®Google Scholar
• Coursaris, C.K., and Van Osch, W. A scientometric analysis of social media research (2004–2011). Scientometrics, 101, 1 (2014), 357–380.
   Web of Science ®Google Scholar
• Crowston, K., and Howison, J. The social structure of free and open source software development. First Monday, 10, 2 (2005). http://www.firstmonday.dk/ojs/index.php/fm/article/view/1207
   Google Scholar
• DeCoster, J.; Iselin, A.-M.R.; and Gallucci, M. A conceptual and empirical examination of justifications for dichotomization. Psychological Methods, 14, 4 (2009), 349–366.
   PubMed Web of Science ®Google Scholar
• DiMicco, J.M.; Geyer, W.; Millen, D.R.; Dugan, C.; and Brownholtz, B. People sensemaking and relationship building on an enterprise social network site. 42nd Hawaii International Conference on System Sciences, 2009. HICSS’09. Big Island, Hawaii: IEEE, pp. 1–10.
   Google Scholar
• DiMicco, J.M., and Millen, D.R. People sensemaking with social networking sites. Paper presented at the The Sensemaking Workshop, April 5–10, 2008. Florence, Italy: CHI 2008.
   Google Scholar
• Faraj, S.; Jarvenpaa, S.L.; and Majchrzak, A. Knowledge collaboration in online communities. Organization Science, 22, 5 (2011), 1224–1239.
   Web of Science ®Google Scholar
• Faulkner, R.R. Music on Demand: Composers and Careers in the Hollywood Film Industry. Piscataway, NJ: Transaction Publishers, 2003.
   Google Scholar
• Forte, A.; Larco, V.; and Bruckman, A. Decentralization in Wikipedia governance. Journal of Management Information Systems, 26, 1 (2009), 49–72.
   Web of Science ®Google Scholar
• Francik, E. Five, ten, or twenty-five: How many test participants? Cool stuff and UX resources. Human Factors International Newsletter, 2015. http://www.humanfactors.com/newsletters/how_many_test_participants.asp
   Google Scholar
• Fulk, J.; Flanagin, A.J.; Kalman, M.E.; Monge, P.R.; and Ryan, T. Connective and communal public goods in interactive communication systems. Communication Theory, 6, 1 (1996), 60–87.
   Web of Science ®Google Scholar
• Füller, J.; Hutter, K.; Hautz, J.; and Matzler, K. User roles and contributions in innovation-contest communities. Journal of Management Information Systems, 31, 1 (2014), 273–308.
   Web of Science ®Google Scholar
• Galvin, C. Global collaboration software market. In P.A. Lotusphere (ed.), Presentation at Lotusphere 2011, Orlando, Florida, 2011.
   Google Scholar
• Garg, R.; Smith, M.D.; and Telang, R. Measuring information diffusion in an online community. Journal of Management Information Systems, 28, 2 (2011), 11–38.
   Web of Science ®Google Scholar
• Gibbs, J.L.; Rozaidi, N.A.; and Eisenberg, J. Overcoming the “Ideology of Openness”: Probing the affordances of social media for organizational knowledge sharing. Journal of Computer-Mediated Communication, 19, 1 (2013), 102–120.
   Web of Science ®Google Scholar
• Gibson, C.B., and Gibbs, J.L. Unpacking the concept of virtuality: The effects of geographic dispersion, electronic dependence, dynamic structure, and national diversity on team innovation. Administrative Science Quarterly, 51, 3 (2006), 451–495.
   Web of Science ®Google Scholar
• Griffith, T.L.; Sawyer, J.E.; and Neale, M.A. Virtualness and knowledge in teams: Managing the love triangle of organizations, individuals, and information technology. MIS Quarterly, 27, 2 (2003), 265–287.
   Web of Science ®Google Scholar
• Hall, H., and Graham, D. Creation and recreation: Motivating collaboration to generate knowledge capital in online communities. International Journal of Information Management, 24, 3 (2004), 235–246.
   Web of Science ®Google Scholar
• Hansen, M.T., and Haas, M.R. Competing for attention in knowledge markets: Electronic document dissemination in a management consulting company. Administrative Science Quarterly, 46, 1 (2001), 1–28.
   Web of Science ®Google Scholar
• Hare, A.P. Handbook of small group research (2nd ed.). New York, NY: Free Press, 1976.
   Google Scholar
• Hare, A.P. Group size. American Behavioral Scientist, 24, 5 (1981), 695–708.
   Web of Science ®Google Scholar
• Herring, S.C., ed. Computer-mediated communication: Linguistic, social, and cross-cultural perspectives. Vol. 39. Amsterdam/Philadelphia: John Benjamins Publishing, 1996.
   Google Scholar
• Hinchcliffe, D. As collaboration goes social, where will it thrive? blog post. ZDNet, February 15, 2011. https://www.zdnet.com/article/as-collaboration-goes-social-where-will-it-thrive/
   Google Scholar
• Hofstede, G. Attitudes, values and organizational culture: Disentangling the concepts. Organization Studies, 19, 3 (1998), 477–493.
   Web of Science ®Google Scholar
• Indik, B.P. Organization size and member participation: Some empirical tests of alternative explanations. Human Relations, 18, 4 (1965), 339–350.
   Web of Science ®Google Scholar
• Jones, Q.; Ravid, G.; and Rafaeli, S. Information overload and the message dynamics of online interaction spaces: A theoretical model and empirical exploration. Information Systems Research, 15, 2 (2004), 194–210.
   Web of Science ®Google Scholar
• Joyce, E., and Kraut, R.E. Predicting continued participation in newsgroups. Journal of Computer‐Mediated Communication, 11, 3 (2006), 723–747.
   Web of Science ®Google Scholar
• Kane, G.C.; Alavi, M.; Labianca, G.J.; and Borgatti, S. What’s different about social media networks? A framework and research agenda. MIS Quarterly, 38, 1 (2012), 257–304.
   Web of Science ®Google Scholar
• Khansa, L.; Ma, X.; Liginlal, D.; and Kim, S.S. Understanding members’ active participation in online question-and-answer communities: A theory and empirical analysis. Journal of Management Information Systems, 32, 2 (2015), 162–203.
   Web of Science ®Google Scholar
• Kingsley Westerman, C.Y., and Westerman, D. Supervisor impression management: Message content and channel effects on impressions. Communication Studies, 61, 5 (2010), 585–601.
   Google Scholar
• Koch, R. The 80/20 Principle: The Secret to Achieving More with Less. New York, NY: Crown Business, 2011.
   Google Scholar
• Krugman, P. The Self-Organizing Economy. Hoboken, NJ: Wiley-Blackwell, 1996.
   Google Scholar
• Kuk, G. Strategic interaction and knowledge sharing in the KDE developer mailing list. Management Science, 52, 7 (2006), 1031–1042.
   Web of Science ®Google Scholar
• Lakhani, K.R., and Von Hippel, E. How open source software works: “Free” user-to-user assistance. Research Policy, 32, 6 (2003), 923–943.
   Web of Science ®Google Scholar
• Lampel, J., and Bhalla, A. The role of status seeking in online communities: Giving the gift of experience. Journal of Computer-Mediated Communication, 12, 2 (2007), 434–455.
   Web of Science ®Google Scholar
• Landis, J.R., and Koch, G.G. The measurement of observer agreement for categorical data. Biometrics 33, 1(1977), 159–174.
   Google Scholar
• Lave, J., and Wenger, E. Situated Learning: Legitimate Peripheral Participation. Cambridge: Cambridge University Press, 1991.
   Google Scholar
• Leonardi, P.M. Social Media, knowledge sharing, and innovation: Toward a theory of communication visibility. Information Systems Research, 25, 4 (2014), 796–816.
   Web of Science ®Google Scholar
• Leonardi, P.M.; Huysman, M.; and Steinfield, C. Enterprise social media: Definition, history, and prospects for the study of social technologies in organizations. Journal of Computer-Mediated Communication, 19, 1 (2013), 1–19.
   Web of Science ®Google Scholar
• Leonardi, P.M., and Treem, J.W. Knowledge management technology as a stage for strategic self-presentation: Implications for knowledge sharing in organizations. Information and Organization, 22, 1 (2012), 37–59.
   Web of Science ®Google Scholar
• Levina, N., and Arriaga, M. Distinction and status production on user-generated content platforms: Using Bourdieu’s theory of cultural production to understand social dynamics in online fields. Information Systems Research, 25, 3 (2014), 468–488.
   Web of Science ®Google Scholar
• Li, C. Why no one uses the corporate social network. Harvard Business Review, 2015. https://hbr.org/2015/04/why-no-one-uses-the-corporate-social-network
   Google Scholar
• Lu, B.; Guo, X.; Luo, N.; and Chen, G. Corporate blogging and job performance: Effects of work-related and nonwork-related participation. Journal of Management Information Systems, 32, 4 (2015), 285–314.
   Web of Science ®Google Scholar
• Lu, Y.; Singh, P.V.; and Sun, B. Is a core-periphery network good for knowledge sharing? A structural model of endogenous network formation on a crowdsourced customer support forum. MIS Quarterly, 41, 2 (2017), 607–628.
   Web of Science ®Google Scholar
• Markus, M.L. Toward a “Critical Mass” theory of interactive media universal access, interdependence and diffusion. Communication Research, 14, 5 (1987), 491–511.
   Web of Science ®Google Scholar
• Marwell, G., and Oliver, P.E. The Critical Mass in Collective Action. Cambridge: Cambridge University Press, 1993.
   Google Scholar
• Marwell, G.; Oliver, P.E.; and Prahl, R. Social networks and collective action: a theory of the critical mass. III. American Journal of Sociology, 94, 3 (1988), 502–534.
   Web of Science ®Google Scholar
• Moon, J.Y., and Sproull, L. Essence of distributed work: The case of Linux Kernel. In Hinds, P. J. and Kiesler, S. (eds.), Distributed Work, Cambridge, MA: MIT Press, 2002, pp. 381–404.
   Google Scholar
• Muller, M.J., Ehrlich, K., & Farrell, S. Social tagging and self-tagging for impression management. Submitted as an Interactive Poster to the 20th Conference on Computer Supported Cooperative Work, Banff, Alberta, CA, November (2006).
   Google Scholar
• Mullins, N.C.; Hargens, L.L.; Hecht, P.K.; and Kick, E.L. The group structure of cocitation clusters: A comparative study. American Sociological Review 42, 4 (1977), 552–562.
   Web of Science ®Google Scholar
• Obradović, D., and Baumann, S. A Journey to the core of the blogosphere. In Memo, N., Alhajj, R. (eds.), From Sociology to Computing in Social Networks. SpringerWien NewYork, NY, 2010, pp. 281–300.
   Google Scholar
• Oliver, P.E., and Marwell, G. The Paradox of group size in collective action: a theory of the critical mass. II. American Sociological Review 53, 1 (1988), 1–8.
   Web of Science ®Google Scholar
• Pherson, M.M. The size of voluntary organizations. Social Forces 61, 4 (1983), 1044–1064.
   Google Scholar
• Preece, J., and Shneiderman, B. The reader-to-leader framework: Motivating technology-mediated social participation. AIS Transactions on Human-Computer Interaction, 1, 1 (2009), 13–32.
   Google Scholar
• Rafaeli, S., and LaRose, R.J. Electronic bulletin boards and “public goods” explanations of collaborative mass media. Communication Research, 20, 2 (1993), 277–297.
   Web of Science ®Google Scholar
• Ransbotham, S., and Kane, G.C. Membership turnover and collaboration success in online communities: Explaining rises and falls from grace in Wikipedia. MIS Quarterly 35, 3 (2011), 613–627.
   Web of Science ®Google Scholar
• Shaw, M.E. Group Dynamics: The Psychology of Small Group Behavior. New York: McGraw-Hill, 1971, p. 414.
   Google Scholar
• Singh, P.V., and Tan, Y. Developer heterogeneity and formation of communication networks in open source software projects. Journal of Management Information Systems, 27, 3 (2010), 179–210.
   Web of Science ®Google Scholar
• Singh, P.V.; Tan, Y.; and Mookerjee, V. Network effects: The influence of social capital on open source project success. MIS Quarterly, 35, 4 (2011), 813–829.
   Web of Science ®Google Scholar
• Smith, H.J.; Dinev, T.; and Xu, H. Information privacy research: An interdisciplinary review. MIS Quarterly, 35, 4 (2011), 989–1016.
   Web of Science ®Google Scholar
• Snyder, D., and Kick, E.L. Structural position in the world system and economic growth, 1955–1970: A multiple-network analysis of transnational interactions. American Journal of Sociology, 84, 5 (1979), 1096–1126.
   Web of Science ®Google Scholar
• Tang, Q.; Gu, B.; and Whinston, A.B. Content contribution for revenue sharing and reputation in social media: A dynamic structural model. Journal of Management Information Systems, 29, 2 (2012), 41–76.
   Web of Science ®Google Scholar
• Treem, J.W., and Leonardi, P.M. Social media use in organizations: Exploring the affordances of visibility, editability, persistence, and association. Annals of the International Communication Association, 36, 1 (2013), 143–189.
   Google Scholar
• Van Osch, W. The business side of social media. International Innovation, 95 (2015), 27–29.
   Google Scholar
• Van Osch, W., and Steinfield, C.W. Team boundary spanning: Strategic implications for the implementation and use of enterprise social media. Journal of Information Technology, 31, 2 (2016), 207–225.
   Web of Science ®Google Scholar
• Von Krogh, G.; Spaeth, S.; and Lakhani, K.R. Community, joining, and specialization in open source software innovation: A case study. Research Policy, 32, 7 (2003), 1217–1241.
   Web of Science ®Google Scholar
• Walther, J.B. Selective self-presentation in computer-mediated communication: Hyperpersonal dimensions of technology, language, and cognition. Computers in Human Behavior, 23, 5 (2007), 2538–2557.
   Web of Science ®Google Scholar
• Wasko, M.M., and Faraj, S. “It is what one does”: Why people participate and help others in electronic communities of practice. Journal of Strategic Information Systems, 9, 2 (2000), 155–173.
   Web of Science ®Google Scholar
• Wasko, M.M., and Faraj, S. Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MxIS Quarterly, 29, 1 (2005), 35–57.
   Google Scholar
• Wittenbaum, G.M., and Stasser, G. Management of information in small groups. In J.L. Nye and A.M. Brower (eds.), What’s Social About Social Cognition? Research on Socially Shared Cognition in Small Groups. Thousand Oaks, CA: Sage, 1996, pp. 3–28.
   Google Scholar
• Zhang, X., and Wang, C. Network positions and contributions to online public goods: The case of Chinese Wikipedia. Journal of Management Information Systems, 29, 2 (2012), 11–40.
   Web of Science ®Google Scholar