Abstract
The objective of this paper is to illustrate some of the benefits of understanding formal organizations as multilevel network systems by examining the interdependence between formal and social interaction in organizations. We show how such an approach supports a more informative and contextually richer representation of the interdependences between formal and informal relations in organizations. We document the existence, complexity, and context-dependence of the relationships linking informal networks between lower-level actors (individuals in the case that we will be presenting) to formal networks between higher-level actors (subsidiary units in our case) in organizations. We argue that ignoring the formal relations existing between higher-level units may lead to overestimating the autonomy of social networks from the formal authority structure existing within organizations. Because authority relations cross-cut organizational levels, this issue cannot be fully addressed in studies of social networks within organizations conducted at a single level. We argue that the unique value of the most recent generation of MERGMs is to turn this problem into empirically testable hypotheses. Using field data that we have collected on communication and advice relations among the 47 members of a top management team within an international multiunit industrial group we show how this weakness may be addressed. We exploit the natural multilevel structure of social networks within organizations to specify and estimate MERGMs for different intra-organizational networks (advice and communication). We show that the effects of formal structure on social networks are contingent upon the specific kind of network that is being considered.
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References
Argote, L., & Ingram, P. (2000). Knowledge transfer: A basis for competitive advantage in firms. Organizational Behavior and Human Decision Processes, 82(1), 150–169.
Argote, L., Beckman, S. L., & Epple, D. (1990). The persistence and transfer of learning in industrial settings. Management Science, 36, 140–154.
Baum, J. A., & Ingram, P. (2002). Interorganizational learning and network organization: Toward a behavioral theory of the interfirm. In M. Augier & J.G. March (Eds.), The Economics of Choice, Change, and Organization: Essays in Memory of Richard M. Cyert (pp. 191–218). Cheltenham, MA: Edward Elgar.
Beckman, C. M., Haunschild, P. R., & Phillips, D. J. (2004). Friends or strangers? Firm-specific uncertainty, market uncertainty, and network partner selection. Organization Science, 15(3), 259–275.
Borgatti, S. P., & Foster, P. C. (2003). The network paradigm in organizational research: A review and typology. Journal of Management, 29(6), 991–1013.
Brass, D. J. (1984). Being in the right place: A structural analysis of individual influence in an organization. Administrative Science Quarterly, 29(4), 518–539.
Brass, D. J. (2000). Networks and frog ponds: Trends in multilevel research. In K. J. Klein & W. J. Kozlowski (Eds.), Multilevel theory, research, and methods in organizations: Foundations, extensions, and new directions (pp. 557–571). San Francisco: Jossey-Bass.
Brass, D. J., & Burkhardt, M. E. (1993). Potential power and power use: An investigation of structure and behavior. Academy of Management Journal, 36(3), 441–470.
Brass, D. J., Galaskiewicz, J., Greve, H. R., & Tsai, W. (2004). Taking stock of networks and organizations: A multilevel perspective. Academy of Management Journal, 47(6), 795–817.
Breiger, R. L. (1974). The duality of persons and groups. Social Forces, 53(2), 181–190.
Breiger, R., & Ennis, J. (1997). Generalized exchange in social networks: Statistics and structure. L’Année Sociologique (1940/1948), 47(1), 73–88.
Burt, R. S. (1992). The social structure of competition. In N. Nohria & R. Eccles (Eds.), Networks and organizations: Structure, form, and action (pp. 57–91). Boston: Harvard Business School Press.
Burt, R. S. (2004). Structural holes and good ideas1. American Journal of Sociology, 110(2), 349–399.
Cialdini, R. B., Borden, R. J., Thorne, A., Walker, M. R., Freeman, S., & Sloan, L. R. (1976). Basking in the reflected glory: Three (football) field studies. Journal of Personality and Social Psychology, 34(3), 366–375.
Contractor, N., Wasserman, S., & Faust, K. (2006). Testing multi-theoretical multilevel hypotheses about organizational networks: An analytic framework and empirical example. Academy of Management Review, 31(3), 681–703.
Cross, R., Borgatti, S. P., & Parker, A. (2001). Beyond answers: Dimensions of the advice network. Social Networks, 23(3), 215–235.
Feld, S. L. (1981). The focused organization of social ties. American Journal of Sociology, 86(5), 1015–1035.
Hansen, M. T. (2002). Knowledge networks: Explaining effective knowledge sharing in multiunit companies. Organization Science, 13, 232–248.
Hargadon, A., & Sutton, R. I. (1997). Technology brokering and innovation in a product development firm. Administrative Science Quarterly, 42(4), 716–749.
Hunter, D. R., & Handcock, M. S. (2006). Inference in curved exponential family models for networks. Journal of Computational and Graphical Statistics, 15(3), 565–583.
Kilduff, M., & Krackhardt, D. (1994). Bringing the individual back in: A structural analysis of the internal market for reputation in organizations. Academy of Management Journal, 37(1), 87–108.
Kleinbaum, A. M., Stuart, T. E., & Tushman, M. L. (2013). Discretion within constraint: Homophily and structure in a formal organization. Organization Science, 24(5), 1316–1336.
Kogut, B., & Zander, U. (1996). What firms do? Coordination, identity, and learning. Organization Science, 7(5), 502–518.
Krackhardt, D., & Hanson, J. R. (1993). Informal networks. Harvard Business Review, 71, 104–111.
Lazega, E. (2001). The collegial phenomenon: The social mechanisms of cooperation among peers in a corporate law partnership. Oxford: Oxford University Press.
Lazega, E., & Pattison, P. E. (1999). Multiplexity, generalized exchange and cooperation in organizations: A case study. Social Networks, 21(1), 67–90.
Lazega, E., Jourda, M. T., Mounier, L., & Stofer, R. (2008). Catching up with big fish in the big pond? Multi-level network analysis through linked design. Social Networks, 30(2), 159–176.
Lomi, A., & Torló, V. J. (2014). The network dynamics of social status: Problems and possibilities. In S. P. Borgatti, D. J. Brass, D. S. Halgin, J. Labianca, & A. Mehra (Eds.), Contemporary perspectives on organizational social network analysis (Research in the Sociology of Organizations, pp. 399–416). Sydney: Emerald Press.
Lomi, A., Lusher, D., Pattison, P. E., & Robins, G. (2014). The focused organization of advice relations: A study in boundary crossing. Organization Science, 25, 438–457.
March, J. G., & Simon, H. A. (1958). Organizations. Oxford: Wiley.
McEvily, B., Soda, G., & Tortoriello, M. (2014). More formally: Rediscovering the missing link between formal organization and informal social structure1. The Academy of Management Annals, 8(1), 299–345.
Moliterno, T. P., & Mahony, D. M. (2011). Network theory of organization: A multilevel approach. Journal of Management, 37(2), 443–467.
Monge, P. R., & Contractor, N. S. (2001). Emergence of communication networks. In The new handbook of organizational communication: Advances in theory, research, and methods (pp. 440–502) Thousand Oaks, CA: Sage.
Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science, 5(1), 14–37.
Oh, H., Labianca, G., & Chung, M. H. (2006). A multilevel model of group social capital. Academy of Management Review, 31, 569–582.
Perrow, C. B. (1970). Organizational analysis: A sociological view. London: Tavistock Publications.
Pfeffer, J. (1981). Power in organizations. Marshfield: Pitman.
Podolny, J. M. (2001). Networks as the pipes and prisms of the market 1. American Journal of Sociology, 107(1), 33–60.
Podolny, J. M., & Baron, J. N. (1997). Resources and relationships: Social networks and mobility in the workplace. American Sociological Review, 62(5), 673–693.
Reagans, R., & McEvily, B. (2003). Network structure and knowledge transfer: The effects of cohesion and range. Administrative Science Quarterly, 48(2), 240–267.
Reagans, R., & Zuckerman, E. W. (2001). Networks, diversity, and productivity: The social capital of corporate R&D teams. Organization Science, 12(4), 502–517.
Ren, Y., & Argote, L. (2011). Transactive memory systems 1985–2010: An integrative framework of key dimensions, antecedents, and consequences. Academy of Management Annals, 5, 189–229.
Ren, Y., Carley, K. M., & Argote, L. (2006). The contingent effects of transactive memory: When is it more beneficial to know what others know? Management Science, 52(5), 671–682.
Robins, G. L., & Lusher, D. (2013). Illustrations: Simulation, estimation and goodness of fit. In D. Lusher, J. Koskinen, & G. L. Robins (Eds.), Exponential random graph models for social networks: Theory, methods and applications (pp. 167–186). Cambridge: Cambridge University Press.
Robins, G. L., Pattison, P. E., & Wang, P. (2009). Closure, connectivity and degree distributions: Exponential random graph (p*) models for social networks. Social Networks, 31(2), 105–117.
Simon, H. A. (1962). The architecture of complexity. Proceedings of the American Philosophical Society, 106, 467–482.
Simon, H. A. (1991). Bounded rationality and organizational learning. Organization Science, 2(1), 125–134.
Simon, H. A. (1996). The sciences of the artificial (3rd ed.). Cambridge, MA: MIT Press.
Snijders, T. A. B. (2002). Markov Chain Monte Carlo estimation of exponential random graph models. Journal of Social Structure, 3(2), 1–40.
Snijders, T. A. B., Pattison, P. E., Robins, G. L., & Handcock, M. S. (2006). New specifications for exponential random graph models. Sociological Methodology, 36(1), 99–153.
Thompson, J. (1967). Organizations in action: Social science bases of administrative theory. New York: McGraw-Hill.
Tortoriello, M., Reagans, R., & McEvily, W. (2012). Bridging the knowledge gap: The influence of strong ties, network cohesion, and network range on the transfer of knowledge between organizational units. Organization Science, 23(4), 1024–1039.
Wang, P., Robins, G. L., Pattison, P. E., & Lazega, E. (2013). Exponential random graph models for multilevel networks. Social Networks, 35(1), 96–115.
Wang, P., Robins, G.L., Pattison, P.E. & Lazega, E. (2015). Social selection models for multilevel networks. Social Networks, doi: 10.1016/j.socnet.2014.12.003 (in press).
White, H. C., Boorman, S. A., & Breiger, R. L. (1976). Social structure from multiple networks. I. Blockmodels of roles and positions. American Journal of Sociology, 81(4), 730–780.
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We gratefully acknowledge financial support from the Fonds National Suisse de la Recherche Scientifique (Swiss National Science Foundation. SNSF Grant 615 number CRSII1_147666/1).
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Zappa, P., Lomi, A. (2016). Knowledge Sharing in Organizations: A Multilevel Network Analysis. In: Lazega, E., Snijders, T. (eds) Multilevel Network Analysis for the Social Sciences. Methodos Series, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-24520-1_14
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DOI: https://doi.org/10.1007/978-3-319-24520-1_14
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