Estimating Contextual Motivating Factors in Virtual Interorganizational Communities of Practice: Peer Effects and Organizational Influences

Published Online:https://doi.org/10.1287/isre.2017.0752

References

  • Aral S (2011) Identifying social influence: A comment on opinion leadership and social contagion in new product diffusion. Marketing Sci. 30(2):217–223.LinkGoogle Scholar
  • Aral S, Muchnik L, Sundararajan A (2009) Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks. Proc. Natl. Acad. Sci. 106(51):21544–21549.CrossrefGoogle Scholar
  • Ardichvili A, Page V, Wentling T (2003) Motivation and barriers to participation in virtual knowledge-sharing communities of practice. J. Knowledge Management 7(1):64–77.CrossrefGoogle Scholar
  • Ahn DY, Duan JA, Mela C (2015) Managing user-generated content: A dynamic rational expectations equilibrium approach. Marketing Sci. 35(2):284–303.LinkGoogle Scholar
  • Bandura A (1977) Self-efficacy: Towards a unifying theory of behavioral change. Psych. Rev. 84(2):191–215.CrossrefGoogle Scholar
  • Banerjee A (1992) A simple model of herd behavior. Quart. J. Econom. 107(3):797–817.CrossrefGoogle Scholar
  • Bapna R, Umyarov A (2015) Do your online friends make you pay? A randomized field experiment on peer influence in online social networks. Management Sci. 61(8):1902–1920.LinkGoogle Scholar
  • Battersby SL, Verdi B (2015) The culture of professional learning communities and connections to improve teacher efficacy and support student learning. Arts Ed. Policy Rev. 116(1):22–29.CrossrefGoogle Scholar
  • Bhatt D (2002) Management strategies for individual knowledge and organizational knowledge. J. Knowledge Management 6(1):31–39.CrossrefGoogle Scholar
  • Bikhchandani S, Hirshleifer D, Welch I (1992) A theory of fads, fashion, custom, and cultural change as informational cascades. J. Political Econom. 100(5):992–1026.CrossrefGoogle Scholar
  • Blanchard AL, Markus ML (2004) The experienced “sense” of a virtual community: Characteristics and processes. Data Base Adv. Inform. Systems 35(1):65–79.CrossrefGoogle Scholar
  • Blau PM (1964) Exchange and Power in Social Life (Wiley, New York).Google Scholar
  • Bloor G, Dawson P (1994) Understanding professional culture in organizational context. Organ. Stud. 15(2):275–295.CrossrefGoogle Scholar
  • Brown J, Duguid P (1991) Organizational learning and toward a unified view of working, learning, and innovation. Organ. Sci. 2(1):40–56.LinkGoogle Scholar
  • Bramoullé Y, Djebbari H, Fortin B (2009) Identification of peer effects through social networks. J. Econometrics 150:41–55.CrossrefGoogle Scholar
  • Bramoullé Y, Kranton R, D’Amours M (2014) Strategic interaction and networks. Amer. Econom. Rev. 104(3):898–930.CrossrefGoogle Scholar
  • Burt RS (1987) Social contagion and innovation: Cohesion versus structural equivalence. Amer. J. Sociol. 92(6):1287–1335.CrossrefGoogle 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. J. Amer. Soc. Inform. Sci. Tech. 64(7):1357–1374.CrossrefGoogle Scholar
  • Ciffolilli A (2003) Phantom authority, self-selective recruitment and retention of members in virtual communities: The case of Wikipedia. First Monday 8(12).CrossrefGoogle Scholar
  • Cohen JA (1968) Weighed kappa: Nominal scale agreement with provision for scaled disagreement or partial credit. Psych. Bull. 70(4):213–220.CrossrefGoogle Scholar
  • Constant D, Sproull L, Kieslet S (1996) The kindness of strangers: The usefulness of electronic weak ties for technical advice. Organ. Sci. 7(2):119–135.LinkGoogle Scholar
  • Cooley J (2010) Desegregation and the achievement gap: Do diverse peers help? Working paper, University of Wisconsin–Madison.Google Scholar
  • Daft RL, Lengel RH (1984) Information richness: A new approach to managerial behavior and organizational design. Res. Organ. Behav. 6:191–233.Google Scholar
  • De Giorgi G, Pellizzari M, Redaelli S (2010) Identification of social interactions through partially overlapping peer groups. Amer. Econom. J. 2(2):241–275.Google Scholar
  • De Melo G (2011) Peer effects identified through social networks: Evidence from Uruguayan schools. Working paper, University of Siena, Siena, Italy.Google Scholar
  • Duan W, Gu B, Whinston AB (2009) Informational cascades and software adoption on the Internet: An empirical investigation. MIS Quart. 33(1):23–48.CrossrefGoogle Scholar
  • Durlauf SN, Young HP (2001) The new social economics. Durlauf SN, Young HP, eds. Social Dynamics (MIT Press, Cambridge, MA), 1–14.Google Scholar
  • Faraj S, von Krogh G, Monteiro E, Lakhani KR (2016) Special section introduction–Online community as space of knowledge flows. Inform. Systems Res. 27(4):668–684.LinkGoogle Scholar
  • Freeman L (1977) A set of measures of centrality based on betweenness. Sociometry 40:35–41.CrossrefGoogle Scholar
  • Godes D, Mayzlin D (2004) Using online conversations to study word-of-mouth communication. Marketing Sci. 23(4):545–560.LinkGoogle Scholar
  • Granovetter MS (1973) The strength of weak ties. Amer. J. Sociol. 78(6):1360–1380.CrossrefGoogle Scholar
  • Grant RM (1996) Toward a knowledge-based theory of the firm. Strategic Management J. 17(Winter):109–122.CrossrefGoogle Scholar
  • Hass MR, Criscuolo P, George G (2015) Which problems to solve? Online knowledge sharing and attention allocation in organizations. Acad. Management J. 58(3):680–711.CrossrefGoogle Scholar
  • Jackson MO (2006) The economics of social networks. Blundell R, Newey W, Persson T, eds. Advances in Economics and Econometrics, Theory and Applications, Vol. 1 (Cambridge University Press, New York), 1–56.Google Scholar
  • Jeppesen LB, Frederiksen L (2006) Why do users contribute to firm-hosted user communities? The case of computer-controlled music instruments. Organ. Sci. 17(1):45–63.LinkGoogle Scholar
  • John G (2006) The essential impact of context on organizational behavior. Acad. Management Rev. 31(2):386–408.CrossrefGoogle Scholar
  • Kankanhalli A, Tan BCY, Wei KK (2005) Contributing knowledge to electronic knowledge repositories: An empirical investigation. MIS Quart. 29(1):113–143.CrossrefGoogle Scholar
  • Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33(1):159–174.CrossrefGoogle Scholar
  • Lave J, Wenger E (1991) Situated Learning: Legitimate Peripheral Participation (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • Lazarsfeld PF, Merton RK (1954) Friendship as a social process: A substantive and methodological analysis. Freedom and Control in Modern Society 18(1):18–66.Google Scholar
  • Leary MR, Forsyth DR (1987) Attributions of responsibility for collective endeavors. Rev. Personality Soc. Psych. 8:167–188.Google Scholar
  • Leuven E, Sianesi B (2003) PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. http://ideas.repec.org/c/boc/bocode/s432001.html.Google Scholar
  • Lee LF (2003) Best spatial two-stage least squares estimators for a spatial autoregressive model with autoregressive disturbances. Econometric Rev. 22(4):307–335.CrossrefGoogle Scholar
  • Lin X (2010) Identifying peer effects in student academic achievement by spatial autoregressive models with group unobservables. J. Labor Econom. 28(4):825–860.CrossrefGoogle Scholar
  • Majchrzak A, Wagner C, Yates D (2013) The impact of shaping on knowledge reuse for organizational improvement with Wikis. MIS Quart. 37(2):455–470.CrossrefGoogle Scholar
  • Manski C (1993) Identification of endogenous social effects: The reflection problem. Rev. Econom. Stud. 60:531–542.CrossrefGoogle Scholar
  • Manski C (2000) Economic analysis of social interactions. J. Econom. Perspect. 14(3):115–136.CrossrefGoogle Scholar
  • Markus ML, Steinfield CW, Wigand RT, Minton G (2006) Industry-wide information systems standardization as collective action: The case of the U.S. residential mortgage industry. MIS Quart. 30(1):439–465.CrossrefGoogle Scholar
  • McPherson M, Smith-Lovin L, Cook JM (2001) Birds of a feather: Homophily in social networks. Annual Rev. Sociol. 27:415–444.CrossrefGoogle Scholar
  • Moingeon B, Quelin B, Dalsace F, Lumineau F (2006) Inter-organizational communities of practice: Specificities and stakes. Working paper, HEC Paris.Google Scholar
  • Mowday RT, Sutton RI (1993) Organizational behavior: Liking individuals and groups to organizational contexts. Ann. Rev. Psychol. 44:195–229.CrossrefGoogle Scholar
  • Nelson RR, Winter SG (1982) An Evolutionary Theory of Economic Change (Belknap Press of Harvard University, Cambridge, MA).Google Scholar
  • Nonaka I (1994) A dynamic theory of organizational knowledge creation. Organ. Sci. 5(1):14–37.LinkGoogle Scholar
  • Peddibhotla NB, Subramani MR (2007) Contributing to public document repositories: A critical mass theory perspective. Organ. Stud. 28:327–346.CrossrefGoogle Scholar
  • Perry MJ (2013) World stock market capitalization closes year at $54.6 trillion. American Enterprise Institute, Washington, DC, http://www.aei.org/publication/world-stock-market-capitalization-closes-year-at-54-6-trillion/.Google Scholar
  • Peters LH, O’Connor EJ, Eulberg JR (1985) Situational constraints: Sources, consequences, and future considerations. Res. Personnel Human Resources Management 3:79–113.Google Scholar
  • Pool VK, Stoffman N, Yokner S (2015) The people in your neighborhood: Social interactions and mutual fund portfolios. J. Finance. 70(6):2679–2732.CrossrefGoogle Scholar
  • Richard L, Chiocchio F, Essiembre H, Tremblay M, Lamy G, Champagne F, Beaudet N (2014) Communities of practice as a professional and organizational development strategy in local public health organizations in Quebec, Canada: An evaluation model. Health Policy 9(3):26–39.Google Scholar
  • Ridings C, Gefen D, Arinze B (2006) Psychological barriers: Lurker and poster motivation and behavior in online communities. Comm. Assoc. Inform. Systems 18:329–354.Google Scholar
  • Roberts JA, Hann I, Slaughter SA (2006) Understanding the motivations, participation, and performance of open source software developers: A longitudinal study of the Apache projects. Management Sci. 52(7):984–999.LinkGoogle Scholar
  • Saez E, Duflo E (2003) The role of information and social interactions in retirement plan decisions: Evidence from a randomized experiment. Quart. J. Econom. 118:815–842.CrossrefGoogle Scholar
  • Sarker S, Valacich JS (2010) An alternative to methodological individualism: A non-reductionist approach to studying technology adoption by groups. MIS Quart. 34(4):779–808.CrossrefGoogle Scholar
  • Shah SK (2006) Motivation, governance, and the viability of hybrid forms in open source software development. Management Sci. 52(7):1000–1014.LinkGoogle Scholar
  • Shriver SK, Nair HS, Hofstetter R (2013) Social ties and user-generated content: Evidence from an online social network. Management Sci. 59(6):1425–1443.LinkGoogle Scholar
  • Simon H (1991) Bounded rationality and organizational learning. Organ. Sci. 2:125–134.LinkGoogle Scholar
  • Soetevent A (2006) Empirics of the identification of social interactions: An evaluation of the approaches and their results. J. Econom. Surveys 20(2):193–228.CrossrefGoogle Scholar
  • Spaeth S, von Krogh G, He F (2015) Perceived firm attributes and intrinsic motivation in sponsored open source software projects. Inform. Systems Res. 26(1):224–237.LinkGoogle Scholar
  • Sundararajan A (2008) Local network effects and complex network structure. B. E. J. Theoret. Econom. 7(1):1–37.Google Scholar
  • Trogdon J, Nonnemaker J, Pais J (2008) Peer effects in adolescent overweight. J. Health Econom. 27(5):1388–1399.CrossrefGoogle Scholar
  • Tsai HT, Bagozzi RP (2014) Contribution behavior in virtual communities: Cognitive, emotional and social influences. MIS Quart. 38(1):143–163.CrossrefGoogle Scholar
  • Valente TW (2005) Network models and methods for studying the diffusion of innovations. Carrington PJ, Scott J, Wasserman S, eds. Models and Methods in Social Network Analysis (Cambridge University Press, Cambridge, UK), 98–116.CrossrefGoogle Scholar
  • Wasko MM, Faraj S (2005) Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quart. 29(1):35–57.CrossrefGoogle Scholar
  • Wenger E, McDermott R, Snyder W (2002) Cultivating Communities of Practice (Harvard Business School Press, Boston).Google Scholar
  • Wiertz C, Ruyter K (2007) Beyond the call of duty: Why customers participate in firm-hosted online communities. Organ. Stud. 28:349–378.CrossrefGoogle Scholar
  • Wilson JM, O’Leary MB, Metiu A, Jett QR (2008) Perceived proximity in virtual work: Explaining the paradox of far-but-close. Organ. Stud. 29(7):979–1002.CrossrefGoogle Scholar
  • Wuchty S (2009) What is a social tie? Proc. Natl. Acad. Sci. 106(36):15099–15100.CrossrefGoogle Scholar
  • Xia M, Huang Y, Duan W, Whinston AB (2012) To continue sharing or not to continue sharing? An empirical analysis of user decision in peer-to-peer sharing networks. Inform. Systems Res. 23(1):247–259.LinkGoogle Scholar
  • Zeng X, Wei L (2013) Social ties and user content generation: Evidence from Flickr. Inform. Systems Res. 24(1):71–87.LinkGoogle Scholar
  • Zhang X, Zhu F (2011) Group size and incentives to contribute: A natural experiment at Chinese Wikipedia. Amer. Econom. Rev. 101(4):1601–1615.CrossrefGoogle Scholar
  • Zhao K, Khan S, Xia M (2011a) Sustainability of vertical standard consortia as communities of practice: A multi-level framework. Internat. J. Electronic Commerce 16(1):11–40.CrossrefGoogle Scholar
  • Zhao K, Xia M, Shaw MJ (2011b) What motivates firms to contribute to consortium-based e-business standardization? J. Management Inform. Systems 28(2):305–334.CrossrefGoogle Scholar
  • Zheng Y, Zhao K, Stylianou A (2013) The impacts of information quality and system quality on users’ continuance intention in information-exchange virtual communities: An empirical investigation. Decision Support Systems 56:513–524.CrossrefGoogle Scholar
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