Combining structure, governance and context

A configurational approach to network effectiveness

J. Raab, R.S. Mannak, B. Cambré

Research output: Contribution to journalArticleScientificpeer-review

Abstract

This study explores the way in which network structure (network integration), network context (resource munificence and stability), and network governance mode relate to net -work effectiveness. The model by Provan and Milward (Provan, Keith G., and H. Brinton Milward. 1995. A preliminary theory of interorganizational network effectiveness: A comparative study of four community mental health systems. Administrative Science Quarterly 40
(1):1–33) on the effectiveness of designed and goal-directed interorganizational networks is extended and tested on the basis of 39 crime prevention networks (Safety Houses) in the Netherlands. Ten cases were subjected to in-depth analysis through documentation reviews, interviews, observations, and a survey among network participants. In the other 29 cases semistructured interviews were conducted with the network managers. The data for all 39 cases were analyzed with crisp-set Qualitative Comparative Analysis. The results
revealed two different configurations for network effectiveness. Effective networks are centrally integrated networks that have been in existence for at least 3 years (age) and which show a high degree of stability. In addition, they either have considerable resources at their disposal or they have been set up with a network administrative organization. The results confirm core insights from Provan and Milward’s earlier study but also show that administrative resources can serve as a substitute for financial resources (and vice versa). The
article concludes with suggestions for the further development of a configurational theory of network effectiveness.
Original languageEnglish
Pages (from-to)479-511
JournalJournal of Public Administration Research and Theory
Volume25
Issue number2
DOIs
Publication statusPublished - 2015

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governance
Configurational approach
Governance structure
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administrative science
administrative organization
crime prevention
interview
documentation
Netherlands
mental health
manager
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Cite this

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abstract = "This study explores the way in which network structure (network integration), network context (resource munificence and stability), and network governance mode relate to net -work effectiveness. The model by Provan and Milward (Provan, Keith G., and H. Brinton Milward. 1995. A preliminary theory of interorganizational network effectiveness: A comparative study of four community mental health systems. Administrative Science Quarterly 40 (1):1–33) on the effectiveness of designed and goal-directed interorganizational networks is extended and tested on the basis of 39 crime prevention networks (Safety Houses) in the Netherlands. Ten cases were subjected to in-depth analysis through documentation reviews, interviews, observations, and a survey among network participants. In the other 29 cases semistructured interviews were conducted with the network managers. The data for all 39 cases were analyzed with crisp-set Qualitative Comparative Analysis. The results revealed two different configurations for network effectiveness. Effective networks are centrally integrated networks that have been in existence for at least 3 years (age) and which show a high degree of stability. In addition, they either have considerable resources at their disposal or they have been set up with a network administrative organization. The results confirm core insights from Provan and Milward’s earlier study but also show that administrative resources can serve as a substitute for financial resources (and vice versa). The article concludes with suggestions for the further development of a configurational theory of network effectiveness.",
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Combining structure, governance and context : A configurational approach to network effectiveness. / Raab, J.; Mannak, R.S.; Cambré, B.

In: Journal of Public Administration Research and Theory, Vol. 25, No. 2, 2015, p. 479-511.

Research output: Contribution to journalArticleScientificpeer-review

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