Communication and organizational social networks : a simulation model

Chen, Liang, Gable, Guy G., & Hu, Haibo (2013) Communication and organizational social networks : a simulation model. Computational and Mathematical Organization Theory, 19(4), pp. 460-479.

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Recent management research has evidenced the significance of organizational social networks, and communication is believed to impact the interpersonal relationships. However, we have little knowledge on how communication affects organizational social networks. This paper studies the dynamics between organizational communication patterns and the growth of organizational social networks. We propose an organizational social network growth model, and then collect empirical data to test model validity. The simulation results agree well with the empirical data. The results of simulation experiments enrich our knowledge on communication with the findings that organizational management practices that discourage employees from communicating within and across group boundaries have disparate and significant negative effect on the social network’s density, scalar assortativity and discrete assortativity, each of which correlates with the organization’s performance. These findings also suggest concrete measures for management to construct and develop the organizational social network.

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2 citations in Scopus
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1 citations in Web of Science®

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ID Code: 54503
Item Type: Journal Article
Refereed: Yes
Additional Information: The Chinese version of this paper with minor changes has been published in Journal of Systems & Management 19(1):37–44 (2010).
Additional URLs:
Keywords: Communication, Organizational social networks, Growth model, Management practice
DOI: 10.1007/s10588-012-9131-0
ISSN: 1572-9346
Subjects: Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > BUSINESS AND MANAGEMENT (150300) > Organisation and Management Theory (150310)
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Springer
Deposited On: 02 Nov 2012 00:27
Last Modified: 27 Nov 2013 06:21

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