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    Manufacturing relations: An empirical study of the organization of production across multiple networks

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    Author
    Lomi, A; Pattison, P
    Date
    2006
    Source Title
    ORGANIZATION SCIENCE
    Publisher
    INFORMS
    University of Melbourne Author/s
    Pattison, Philippa
    Affiliation
    Behavioural science
    Metadata
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    Document Type
    Journal Article
    Citations
    Lomi, A. & Pattison, P. (2006). Manufacturing relations: An empirical study of the organization of production across multiple networks. ORGANIZATION SCIENCE, 17 (3), pp.313-332. https://doi.org/10.1287/orsc.1060.0190.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/27999
    DOI
    10.1287/orsc.1060.0190
    Description

    C1 - Refereed Journal Article

    Abstract
    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.
    Keywords
    Business and Management

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