The co-evolution of organizational and network structure: The role of multilevel mixing and closure mechanisms
Amati, Viviana, Lomi, Alessandro, Mascia, Daniele and Pallotti, Francesca (2019) The co-evolution of organizational and network structure: The role of multilevel mixing and closure mechanisms. Organizational Research Methods, 24 (2). pp. 285-318. ISSN 1094-4281 (Print), 1552-7425 (Online) (doi:https://doi.org/10.1177/1094428119857469)
|
PDF (Author Accepted Manuscript)
24289 PALLOTTI_The_Co-Evolution_of_Organizational_and_Network_Structure_2019.pdf - Accepted Version Download (1MB) | Preview |
Abstract
We present a dynamic multilevel framework for analyzing the mutual dependence of change in interorganizational networks and internal organizational structure. Change occurring at the former (interorganizational) level involves decisions to change the portfolio of network ties to external partners. Change occurring in the latter (intraorganizational) level involves decisions to change the portfolio of internal activities. We estimate a recently derived class of stochastic actor-oriented models (SAOMs) that we adopt and adapt to specify how decisions to change internal portfolios of activities and external portfolios of partners are connected by theoretically derived multilevel mixing and closure mechanisms that link organizational and network structures. We show that statistical models for multilevel networks reproduce with high fidelity the structural regularities observed in the distribution of: (i) activities within organizations; (ii) network ties between organizations, and (iii) knowledge available in the organizational field. We discuss the implications of the study for theory development, and for empirical research on interorganizational and other kinds of multilevel networks.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | generalized linear models, interorganizational networks, multilevel networks, network evolution, organizational change, organizational fields, social mechanisms, stochastic actor-oriented models |
Subjects: | H Social Sciences > H Social Sciences (General) |
Faculty / School / Research Centre / Research Group: | Faculty of Business Faculty of Business > Department of International Business & Economics Faculty of Business > Networks and Urban Systems Centre (NUSC) Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA) |
Last Modified: | 31 Aug 2021 13:56 |
URI: | http://gala.gre.ac.uk/id/eprint/24289 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year