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Using Social Network Analysis to Monitor and Assess the Effectiveness of Knowledge Brokers at Connecting Scientists and Decision-Makers: An Australian case study

Cvitanovic, C.; Cunningham, R.; Dowd, A-M.; Howden, S.M.; van Putten, E.I.

Description

Despite growing rhetoric regarding the potential benefits of using knowledge brokers in relation toenvironmental challenges and decision-making processes, the evidence in support of such claims ismostly anecdotal. This is, in part, due to the lack of established methods to evaluate the effective-ness and efficiency of knowledge brokers. To address this gap we assess the utility of social networkanalysis (SNA) to evaluate the effectiveness of knowledge brokers in connecting scientists...[Show more]

dc.contributor.authorCvitanovic, C.
dc.contributor.authorCunningham, R.
dc.contributor.authorDowd, A-M.
dc.contributor.authorHowden, S.M.
dc.contributor.authorvan Putten, E.I.
dc.date.accessioned2017-06-30T06:26:41Z
dc.identifier.issn1756-932X
dc.identifier.urihttp://hdl.handle.net/1885/118430
dc.description.abstractDespite growing rhetoric regarding the potential benefits of using knowledge brokers in relation toenvironmental challenges and decision-making processes, the evidence in support of such claims ismostly anecdotal. This is, in part, due to the lack of established methods to evaluate the effective-ness and efficiency of knowledge brokers. To address this gap we assess the utility of social networkanalysis (SNA) to evaluate the effectiveness of knowledge brokers in connecting scientists anddecision-makers. Specifically, using a case-study approach, we undertake longitudinal SNA overa 12-month period to evaluate the extent to which the knowledge broker developed networks be-tween producers and users of knowledge across different organizations. We also undertook a qual-itative survey of scientists (n = 29) who worked in the same organization as the knowledge broker tounderstand the extent to which the knowledge broker increased the impact of scientific researchfor decision-making purposes. Results show that the knowledge broker developed an extensivestakeholder network of 192 individuals spanning over 30 organizations. The results of the SNAfound that over time this network increased in density and became more cohesive, both key ele-ments underpinning successful knowledge exchange. Furthermore, the qualitative survey foundthat the knowledge broker also had a positive impact in other ways, including helping researchersunderstand the operating environments within decision-making agencies and the best approachesfor engaging with specific decision-makers. Thus, this study demonstrates the value of SNA forevaluating knowledge brokers and provides empirical support for the use of knowledge brokersin the environmental sector.
dc.description.sponsorshipFinancial support was provided by the now-defunct CSIRO Climate Adaptation Flag-ship.
dc.format.mimetypeapplication/pdf
dc.publisherWiley
dc.rights© 2017 John Wiley & Sons, Ltd and ERP Environment
dc.sourceEnvironmental Policy and Governance
dc.titleUsing Social Network Analysis to Monitor and Assess the Effectiveness of Knowledge Brokers at Connecting Scientists and Decision-Makers: An Australian case study
dc.typeJournal article
local.identifier.citationvolume27
dc.date.issued2017
local.identifier.ariespublicationa383154xPUB5262
local.publisher.urlhttp://au.wiley.com/WileyCDA/
local.type.statusPublished Version
local.contributor.affiliationHowden, S. M., Climate Change Institute, The Australian National University
local.description.embargo2037-12-31
local.bibliographicCitation.issue3
local.bibliographicCitation.startpage256
local.bibliographicCitation.lastpage269
local.identifier.doi10.1002/eet.1752
CollectionsANU Research Publications

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