Location, Location, Location: How Network Embeddedness Affects Project Success in Open Source Systems

References

• Abrahamson E., Rosenkopf L. Social network effects on the extent of innovation diffusion: A computer simulation. Organ. Sci. (1997) 8(3):289–309Link, Google Scholar
• Chandrashekaran M., Mehta R., Chandrashekaran R., Grewal R. Market motives, distinctive capabilities, and domestic inertia: A hybrid model of innovation generation. J. Marketing Res. (1999) 36(February):95–112Crossref, Google Scholar
• Cooper R. G.Winning at New Products: Accelerating the Process from Idea to Launch (2001) (Persues Publishing, Boulder, CO) Google Scholar
• Crowston K., Annabi H., Howison J. Defining open source software project success. Proc. Internat. Conf. Inform. Systems, ICIS, Seattle, WA (2003) Association for Information Systems, Atlanta, GAGoogle Scholar
• Dayton M. C., MacReady G. B. Concomitant variables latent class models. J. Amer. Statist. Assoc. (1988) 83(401):173–178Crossref, Google Scholar
• Deroian F. Formation of social networks and diffusion of innovations. Res. Policy (2002) 31(5):835–846Crossref, Google Scholar
• DeSarbo W. S., Cron W. L. A maximum likelihood methodology for clusterwise linear regression. J. Classification (1988) 5(2):249–282Crossref, Google Scholar
• Faust K. Centrality in affiliation networks. Soc. Networks (1997) 19:157–191Crossref, Google Scholar
• Fombrun C. J., Shanley M. What’s in a name? Reputation building and corporate strategy. Acad. Management J. (1990) 33:233–258Crossref, Google Scholar
• Freeman L. C. Centrality in social networks: Conceptual clarification. Soc. Networks (1979) 1(3):215–239Crossref, Google Scholar
• Freeman L. C., Roeder D., Mulholland R. R. Centrality in social networks: II. Experimental results. Soc. Networks (1980) 2:119–141Crossref, Google Scholar
• Fruchterman T. M., Reingold E. M. Graph drawing for force directed placement. Software, Practice and Experience (1991) 21:1129–1164Crossref, Google Scholar
• Granovetter M. The strength of weak ties. Amer. J. Sociol. (1973) 78(6):1360–1380Crossref, Google Scholar
• Granovetter M. Economic action and social structure: The problem of embeddedness. Amer. Sociol. Rev. (1985) 15(3):478–499Google Scholar
• Granovetter M.Getting a Job: A Study of Contacts and Careers (1995) 2nd ed.(University of Chicago Press, Chicago, IL) Crossref, Google Scholar
• Gulati R. Alliances and network. Strategic Management J. (1998) 19(4):293–317Crossref, Google Scholar
• Gulati R., Gargiulo M. Where do interorganizational networks come from? Amer. J. Sociol. (1999) 104(5):1439–1493Crossref, Google Scholar
• Gupta S., Chintagunta P. On using demographic variables to determine segment membership in logit mixture models. J. Marketing Res. (1994) 16(February):128–136Crossref, Google Scholar
• Lakhani K. R., Wolf R. G. Why hackers do what they do: Understanding motivation effort in free/open source software projects. (2003) . Working Paper 4425-03, MIT Sloan School of Management, Cambridge, MAGoogle Scholar
• Laumann E. O., Marsden P. V., Prensky D., Freeman L. C., White D. R., Kimball R. A. The boundary specification problem in network analysis. Research Methods in Social Network Analysis (1989) (George Mason University Press, Fairfax, VA) Google Scholar
• Lohr S. Speech code from I.B.M. to become open source. New York Times (2004) September 13):31–32Google Scholar
• Mahajan V., Muller E., Kerin R. A. Introduction strategy for new products with positive and negative word-of-mouth. Management Sci. (1984) 30:1389–1404Link, Google Scholar
• Maltz E., Kohli A. K. Market intelligence dissemination across functional boundaries. J. Marketing Res. (1996) 33(February):47–61Crossref, Google Scholar
• Mansfield E., Wagner S. Organizational and strategic factors associated with probabilities of success in industrial R&D. J. Bus. (1975) 48(2):179–198Crossref, Google Scholar
• North D. C., North D. C.Institutions, Institutional Change and Economic Performance (1990) (Cambridge University Press, New York) Crossref, Google Scholar
• O’Reilly C. Variations in decision makers’ use of information sources: The impact of quality and accessibility of information. Acad. Management J. (1982) 25(4):756–771Crossref, Google Scholar
• Pollak R. A., Wales T. J. The likelihood dominance criterion. J. Econometrics (1991) 47:227–242Crossref, Google Scholar
• Portes A. Social capital: Its origins and application in modern sociology. Annual Rev. Sociol. (1998) 22:1–24Crossref, Google Scholar
• Raghunathan S. Impact of information quality and decision-maker quality on decision quality: A theoretical model and simulation analysis. Decision Support Systems (1999) 26(4):275–286Crossref, Google Scholar
• Rai A., Lang S. S., Welker R. B. Assessing the validity of IS success models: An empirical test and theoretical analysis. Inform. Systems Res. (2002) 13(1):50–69Link, Google Scholar
• Rosa J. A., Porac J. F., Runser-Spanjol J., Saxon M. S. Sociocognitive dynamics in a product market. J. Marketing (1999) 63(Special Issue):64–77Crossref, Google Scholar
• Ruef M., Aldrich H. E., Carter N. M. The structure of founding teams: Homophily, strong ties, and isolation among U.S. entrepreneurs. Amer. Sociol. Rev. (2003) 68(2):195–222Crossref, Google Scholar
• Sarin S., Mahajan V. The effect of reward structures on the performance of cross-functional product development teams. J. Marketing (2001) 65(2):35–53Crossref, Google Scholar
• Smelser N. J., Swedberg R., Smelser N. J., Swedberg R.Handbook of Economic Sociology (1994) (Princeton University Press, Princeton, NJ) Google Scholar
• Spence A. M.Market Signaling (1974) (Harvard University Press, Cambridge, MA) Google Scholar
• Spencer E. A., Greene J. A stealth attack on Linux from Microsoft? It’s paying a licensing fee to SCO—And techies smell a rat. BusinessWeek (2003) 31(June 2):C4Google Scholar
• Titterington D., Smith A., Makov U.Statistical Analysis of Finite Mixture Distributions (1985) (John Wiley and Sons, Chichester, UK) Google Scholar
• Uzzi B. The sources and consequences of embeddedness for the economic performance of organizations: The network effect. Amer. Sociol. Rev. (1996) 61(August):674–698Crossref, Google Scholar
• Uzzi B. Embeddedness in the making of financial capital: How social relations and networks benefit firms seeking financing. Amer. Sociol. Rev. (1999) 64(August):481–505Crossref, Google Scholar
• Van den Bulte C., Lilien G. L. Medical innovation revisited: Social contagion versus marketing effort. Amer. J. Sociol. (2001) 106(5):1409–1435Crossref, Google Scholar
• Veronesi P. How does information quality affect stock returns? J. Finance (2000) 55(2):807–837Crossref, Google Scholar
• von Hippel E. Innovation by user communities: Learning from open source software. MIT Sloan Management Rev. (2001) 42(4):82–86Google Scholar
• von Hippel E.Democratizing Innovation (2005) (MIT Press, Cambridge, MA) Crossref, Google Scholar
• von Hippel E., von Krogh G. Open source software and the “private-collective” innovation model: Issues for organization science. Organ. Sci. (2003) 14(2):209–225Link, Google Scholar
• Wasserman S., Faust K.Social Network Analysis: Methods and Applications (1999) (Cambridge University Press, Cambridge, UK) Google Scholar
• Wedel M., Kamakura W. A.Market Segmentation: Conceptual and Methodological Foundations (2000) (Kluwer, Boston, MA) Crossref, Google Scholar
• Williamson O. E.The Economic Institutions of Capitalism: Firms, Markets, and Relational Contracting (1985) (The Free Press, New York) Google Scholar
• Yamagishi T., Gillmore M. R., Cook K. S. Network connections and the distribution of power in exchange networks. Amer. J. Sociol. (1988) 93(4):833–851Crossref, Google Scholar
• Zukin S., DiMaggio P. J., Zukin S., DiMaggio P. J.Structures of Capital: The Social Organization of the Economy (1990) (Cambridge University Press, New York) Google Scholar