Analyzing Policy Networks Using Valued Exponential Random Graph Models: Do Government-Sponsored Collaborative Groups Enhance Organizational Networks?
This paper examines collaborative management groups from the perspective of policymakers seeking to increase coordination within a policy network. While governments often support collaborative groups as a tool to address perceived network failures such as a lack of coordination, the net impact group...
| Publicado en: | Policy Studies Journal Vol. 44; no. 2; pp. 215 - 245 |
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| Formato: | Artículo |
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Wiley-Blackwell
May2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=114818587&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 114818587 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0190292X PSJ jtl: Policy Studies Journal issn: 0190292X maglogo: Y pubinfo: dt: May2016 vid: 44 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 114818587 10.1111/psj.12118 ppf: 215 ppct: 30 formats: fmt: – @attributes: type: T – @attributes: type: P size: 438KB tig: atl: Analyzing Policy Networks Using Valued Exponential Random Graph Models: Do Government-Sponsored Collaborative Groups Enhance Organizational Networks? aug: au: Scott, Tyler A. su: Policy networks Collective action Groups Interorganizational networks Random graphs Network analysis (Planning) Organizational governance Transaction costs sug: subj: Policy networks Collective action Groups Interorganizational networks Random graphs Network analysis (Planning) Organizational governance Transaction costs keyword: collaborative governance collaborative management ERGMs network analysis policy networks valued networks collaborative governance collaborative management ERGMs network analysis policy networks valued networks ab: This paper examines collaborative management groups from the perspective of policymakers seeking to increase coordination within a policy network. While governments often support collaborative groups as a tool to address perceived network failures such as a lack of coordination, the net impact groups have is unclear. I use valued exponential random graph models (ERGMs) to model relationships of varying strength among a regional network of organizations involved in 57 collaborative groups. This provides a unique opportunity to study the interplay between numerous groups and organizations within a large-scale network. Valued ERGMs are a recently developed extension of standard ERGMs that model valued instead of binary ties; thus, this paper also makes a methodological contribution to the policy literature. Findings suggest that participation in collaborative groups does motivate coordination and cooperation amongst individual network organizations; however, this effect is strongest for: (i) organizations that are not already members of another group and (ii) organizations that do not have a preexisting tie. These results support a transaction-cost-based perspective of how government-sponsored collaborative groups can influence network coordination; further, they also provide an empirical example of the Ecology of Games, in which multiple collaborative institutions have interactive effects on one another within a policy network. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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