Abstract
Theoretical accounts of network ties between organizations emphasize the interdependence of individual intentions, opportunities, and actions embedded in local configurations of network ties. These accounts are at odds with empirical models based on assumptions of independence between network ties. As a result, the relation between models for network ties and the observed network structure of interorganizational fields is problematic. Using original fieldwork and data that we have collected on collaborative network ties within a regional community of hospital organizations we estimate newly developed specifications of Exponential Random Graph Models (ERGM) that help to narrow the gap between theories and empirical models of interorganizational networks. After controlling for the main factors known to affect partner selection decisions, full models in which local dependencies between network ties are appropriately specified outperform restricted models in which such dependencies are left unspecified and only controlled for statistically. We use computational methods to show that networks based on empirical estimates produced by models accounting for local network dependencies reproduce with accuracy salient features of the global network structure that was actually observed. We show that models based on assumptions of independence between network ties do not. The results of the study suggest that mechanisms behind the formation of network ties between organizations are local, but their specification and identification depends on an accurate characterization of network structure. We discuss the implications of this view for current research on interorganizational networks, communities, and fields.
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Ahuja G., Polidoro F. Jr, Mitchell W.: Structural homophily or social asymmetry? The formation of alliances by poorly embedded firms. Strateg. Manag. J. 30, 941–958 (2009)
Ahuja, G., Soda, G., Zaheer, A.: The genesis and dynamics of organizational networks. Organ. Sci. (2011) (forthcoming).
Baum J.A.C., Singh J.V.: Organizational niches and the dynamics of organizational mortality. Am. J. Sociol. 100, 346–380 (1994)
Baum J.A.C., Shipilov A.V., Rowley T.J.: Where do small worlds come from?. Ind. Corp. Change 12, 697–725 (2003)
Baum J.A.C, Cowan R., Jonard N.: Network-independent partner selection and the evolution of innovation networks. Manag. Sci. 56, 2094–2110 (2010)
Bearman P.: Generalized exchange. Am. J. Sociol. 102, 1383–1415 (1997)
Beckman C.M., Haunschild P.R., Phillips D.J.: Friends or strangers? Firm-specific uncertainty, market uncertainty, and network partner selection. Organ. Sci. 15, 259–275 (2004)
Boorman S.A., White H.C.: Social structure from multiple networks. II. Role Structures. Am. J. Sociol. 81, 1384–1446 (1976)
Brass D.J., Galaskiewicz J., Greve H.R., Tsai W.: Taking stock of networks and organizations: A multilevel perspective. Acad. Manag. J. 47, 795–817 (2004)
Britton T., Deijfen M., Martin-Löf A.: Generating simple random graphs with prescribed degree distribution. J. Stat. Phys. 124, 1377–1397 (2006)
Cropper S., Ebers M., Huxham C., Smith Ring P.: The Oxford Handbook of Inter-Organizational Relations. Oxford University Press, New York (2008)
Dahlander, L., McFarland, D.A.: Intellectual tie formation: multiple networks and refunctionality. Working Paper, Stanford University (2009)
Davis G.F., Yoo M., Baker W.E.: The small world of the American Corporate Elite, 1982–2001. Strateg. Organ. 8, 43–68 (2003)
Epstein J.M.: Generative Social Science: Studies in Agent-Based Computational Modeling. Princeton University Press, Princeton (2007)
Fennell M.L.: The effects of environmental characteristics on the structure of hospital clusters. Adm. Sci. Q. 25, 485–510 (1980)
Gerlach M.L.: The Japanese corporate network: a blockmodel analysis. Adm. Sci. Q. 37, 105–139 (1992)
Goodreau S.M.: Advances in Exponential Random Graph (p*) models applied to a large social network. Soc. Netw. 29, 231–248 (2007)
Greve H.R.: Interorganizational learning and heterogeneous social structure. Organ. Stud. 26, 1025–1047 (2005)
Gulati R., Gargiulo M.: Where do interorganizational networks come from?. Am. J. Sociol. 104, 1439–1493 (1999)
Hunter D.R.: Curved exponential family models for social networks. Soc. Netw. 29, 216–230 (2007)
Hunter D.R., Handcock M.S.: Inference in curved exponential family models for networks. J. Comput. Graph. Stat. 15, 565–583 (2006)
Hunter D.R., Goodreau S., Handcock M.: Goodness of fit of social network models. J. Am. Stat. Assoc. 103, 248–258 (2008)
Iwashyna T.J., Christie J.D., Kahn J.M., David A.: Uncharted paths: hospital networks in critical care. Chest 135, 827–833 (2009a)
Iwashyna T.J., Jason D.C., Moody J., Kahn J.M., Asch D.A.: The structure of critical care transfer networks. Med. Care 47, 787–793 (2009b)
Kogut B., Walker G.: The small world of Germany and the durability of national networks. Am. Sociol. Rev. 66, 317–335 (2001)
Larson A.: Network dyads in entrepreneurial settings: a study of the governance of exchange relationships. Adm. Sci. Q. 37, 76–104 (1992)
Laumann P., Marsden P.V.: Microstructural analysis of interorganizational systems. Soc. Netw. 4, 329–348 (1982)
Lazega E., Pattson P.E.: Multiplexity, generalized exchange and cooperation in organizations: a case study. Soc. Netw. 21, 67–90 (1999)
Lee B.Y., McGlone S.M., Song Y., Avery T.R., Eubank S., Chang C.-C., Bailey R.R., Wagener D.K., Burke D.S., Platt R., Huang S.S.: Social network analysis of patient sharing among hospitals in Orange County, California. Am. J. Public Health 4, 707–713 (2011)
Lomi A., Pattison P.: Manufacturing relations: an empirical study of the organization of production across multiple networks. Organ. Sci. 17, 313–332 (2006)
Lubbers M:J., Snijders T.A.B.: A comparison of various approaches to the exponential random graph model: a reanalysis of 102 student networks in school classes. Soc. Netw. 29, 489–507 (2007)
Lusher, D., Koskinen, J., Robins, G.: Exponential Random Graph Models for Social Networks. 2012. Theory, Methods and Applications. New York. Cambridge University Press. (Forthcoming)
Macy M.W., Willer R.: From factors to actors: computational sociology and agent-based modeling. Annu. Rev. Sociol. 28, 143–166 (2002)
Milo R., Shen-Orr S., Itzkovitz S., Kashtan N., Chklovskii D., Alon U.: Network motifs: simple building blocks of complex networks. Science 298, 824–827 (2002)
Mitsuhashi H., Greve H.: A matching theory of alliance formation and compatibility. Acad. Manag. J. 52, 975–995 (2009)
Newman M.E.J.: Assortative mixing in networks. Phys. Rev. Lett. 89, 208701 (2002)
Newman M.E.J.: The structure and function of complex networks. SIAM Rev. 45, 167–256 (2003)
Newman M.E.J., Park J.: Why social networks are different from other types of networks. Phys. Rev. E 68, 036122 (2003)
Pachucki M.A., Breiger R.L.: Cultural holes: Beyond relationality in social networks and culture. Annu. Rev. Sociol. 36, 205–224 (2010)
Pattison P.: Algebraic Models for Social Networks. Cambridge University Press, New York (1993)
Pattison P., Robins G.: Neighborhood-based models for social networks. Sociol. Methodol. 32, 301–337 (2002)
Picardi C., Calatroni L., Bertoni F.: Communities in Italian corporate networks. Physica A 389, 5247–5258 (2010)
Podolny J.M.: Status Signals: A Sociological Study of Market Competition. Princeton University Press, Princeton (2005)
Powell W.W., Koput K.W., White D.R., Owen-Smith J.: Network dynamics and field evolution: the growth of interorganizational collaboration in the life sciences. Am. J. Sociol. 110, 1132–1205 (2005)
Provan K.G., Milward H.B.: A preliminary theory of interorganizational network effectiveness: a comparative study of four community mental health systems. Adm. Sci. Q. 40, 1–33 (1995)
Provan K.G., Milward H.B.: Do networks really work? A framework for evaluating public sector organizational networks. Public Adm. Rev. 61, 414–423 (2001)
Provan K.G., Fish A., Sydow J.: Interorganizational networks at the network level: a review of the empirical literature on whole networks. J. Manag. 33, 479–513 (2007)
Rivera M.T., Soderstrom S.B., Uzzi B.: Dynamics of dyads in social networks: assortative, relational, and proximity mechanisms. Annu. Rev. Sociol. 36, 91–115 (2010)
Robins G., Alexander M.: Small worlds among interlocking directors: network structure and distance in bipartite graphs. Comput. Math. Organ. Theory 10, 69–94 (2004)
Robins G.L., Pattison P., Woolcock J.: Small and other worlds: Global network structures from local processes. Am. J. Sociol. 110, 894–936 (2005)
Robins G.L., Snijders T.A.B., Wang P., Handcock M., Pattison P.: Recent developments in Exponential Random Graph (p*) models for social networks. Soc. Netw. 29, 192–215 (2007)
Robins G., Pattison P., Wang P.: Closure, connectivity, and degree distributions: Exponential Random Graph (p*) models for directed social networks. Soc. Netw. 31, 105–117 (2009)
Ruef M., Scott W.R.: A multidimensional model of organizational legitimacy: hospital survival in changing institutional environments. Adm. Sci. Q. 43, 877–904 (1998)
Scott W.R., Meyer J.W.: The organization of societal sectors. In: Meyer, J.W., Scott, W.R. (eds) Organizational Environments: Rituals and Rationality, pp. 129–153. Sage, Newbury Park (1983)
Snijders T.A.B.: Markov chain Monte Carlo estimation of exponential random graph models. J. Soc. Struct. 3, 1–41 (2002)
Pattison P.E., Robins G.L., Handcock M.S.: New specifications for Exponential Random Graph Models. Sociol. Methodol. 36, 99–153 (2006)
Sohn M-W.: Distance and cosine measures of niche overlap. Soc. Netw. 23, 141–165 (2001)
Sohn M-W.: A relational approach to measuring competition among hospitals. Health Serv. Res. 37, 457–483 (2002)
Sorenson O., Stuart T.E.: Bringing the context back in: settings and the search for syndicate partners in venture capital investing. Adm. Sci. Q. 53, 266–294 (2008)
Stuart T.E.: Network positions and propensities to collaborate: an investigation of strategic alliance formation in a high-technology industry. Adm. Sci. Q. 43, 668–698 (1998)
Stuart T.E.: The formation of Inter-organizational networks. In: James, R. (eds) The Missing Links: Formation and Decay of Economic Networks, Russell Sage Foundation, New York (2007)
Stuart T.E., Yim S.: Board interlocks and the propensity to be targeted in private equity transactions. J. Financ. Econ. 97, 174–189 (2010)
Thompson J.D.: Organizations in Action: Social Science Bases of Administrative Theory. McGraw-Hill, New York (1967)
Trapido D.: Competitive embeddedness and the emergence of interfirm cooperation. Soc. Forces 86, 167–191 (2007)
Uzzi B.: The sources and consequences of embeddedness for the economic performance of organizations: the network effect. Am. Sociol. Rev. 61, 674–698 (1996)
Uzzi B., Lancaster R.: Relational embeddedness and learning: the case of bank loan managers and their clients. Manag. Sci. 49, 383–399 (2003)
Vande Bunt G.G., Groenewegen P.: An actor-oriented dynamic network approach: the case of interorganizational network evolution. Organ. Res. Methods 10, 463–482 (2007)
Wasserman S., Pattison P.E.: Logit models and logistic regressions for social networks: an introduction to Markov graphs and p*. Psychometrika 61, 401–425 (1996)
Wasserman S., Robins G.L.: An introduction to random graphs, dependence graphs, and p*. In: Carrington, P.J., Scott, J., Wasserman, S. (eds) Models and Methods in Social Network Analysis, pp. 148–161. Cambridge University Press, New York (2005)
Watts D.J., Strogatz SH.: Collective dynamics of ‘small-world’ networks. Nature 4, 440–442 (1998)
Westphal J.D., Zajak E.J.: Defections from the inner circle: social exchange, reciprocity, and the diffusion of board independence in U.S. corporations. Adm. Sci. Q. 42, 161–183 (1997)
White H.C., Breiger R.L.: Pattern across networks. Society 12, 68–74 (1975)
White H.C., Boorman S.A., Breiger R.L.: Social structure from multiple networks. I. Blockmodels of roles and positions. Am. J. Sociol. 81, 730–780 (1976)
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Pallotti, F., Lomi, A. & Mascia, D. From network ties to network structures: Exponential Random Graph Models of interorganizational relations. Qual Quant 47, 1665–1685 (2013). https://doi.org/10.1007/s11135-011-9619-6
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DOI: https://doi.org/10.1007/s11135-011-9619-6