Melbourne School of Psychological Sciences - Research Publications

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    Structural Logic of Intraorganizational Networks
    Rank, ON ; Robins, GL ; Pattison, PE (INFORMS, 2010-05-01)
    In this study we examine the structural logic underlying complex intraorganizational networks. Drawing on different propositions about structural regularities in networks and using a comparative case study, we empirically investigate the structural logic of collaborative networks for the strategic decision process in two German corporations. In both organizations, data were gathered on cooperative relationships between all managers belonging to the top two management levels. We model structural regularities at the dyadic and the extradyadic level by applying a class of multivariate exponential random graph models. Our findings contribute to the existing literature in three ways: (1) Although networks are particularly likely to exhibit some types of structural regularities (e.g., reciprocity and transitivity), there are other relational forms such as cycles that seem to be of limited relevance. (2) Structural regularities are not limited to a single type of relation but may comprise instrumental and affective relational ties simultaneously. (3) An organization's formal cooperation structure has surprisingly limited influence on the structural patterns of cooperation, whereas friendship ties are embedded in managers' regular interaction patterns in many different ways.
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    Manufacturing relations: An empirical study of the organization of production across multiple networks
    Lomi, A ; Pattison, P (INFORMS, 2006)
    Organizational communities present two generic features that are recurrently documented in empirical studies, but only imperfectly accounted for in current models of interorganizational relations. The first is the tendency of participant organizations to construct observed macrostructure locally, through relational activities that involve only a small subset of possible network ties. The second is the tendency for different types of ties to overlap, concatenate, and induce a variety of local structures - or relational motifs - across network domains. A critical task in the analysis of organizational communities is to specify appropriate local dependence structures across multiple networks, starting from detailed observation of dyadic interaction among participants. In this paper we illustrate one way in which this analytical task might be accomplished in the context of a study of interorganizational networks. We use data that we have collected on different types of relationships among 106 organizations, located in Southern Italy, involved in the production of means of transportation to test hypotheses about patterns of local network ties and paths across multiple networks. Our empirical analysis is guided by the general claim that the formation of network ties is subject to endogenous and exogenous processes. We specify statistical models for random graphs that allow us to examine this claim, and to formulate and test specific hypotheses about the form that such network-based processes might take. The results that we report provide clear empirical support for the relational motifs implied by our hypotheses. We also find strong empirical support for the proposition that interorganizational dependencies extend across multiple networks.