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Article: Exploring the diffusion of innovation among high and low innovative localities: A test of the Berry and Berry model

TitleExploring the diffusion of innovation among high and low innovative localities: A test of the Berry and Berry model
Authors
KeywordsDiffusion
Empirical
High and low innovation localities
Innovation
Issue Date2011
PublisherRoutledge. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/14719037.asp
Citation
Public Management Review, 2011, v. 13 n. 1, p. 95-125 How to Cite?
AbstractBerry and Berry (1999, 2007) argue that diffusion of policy innovations is driven by learning, competition, public pressure or mandates from higher levels of authority. We undertake a first time analysis of thiswhole framework and present three sub-studies of innovation. First, we examine the drivers of total innovation. Second, we assess whether the factors influencing the most innovative localities are similar to or different from the factors impacting the low localities. Finally, we disaggregate total innovation into three different innovation types. Our findings, undertaken on a panel of English local governments over four years, reveal that amajority of the diffusion drivers from innovation and diffusion theory are indeed positively significant for total innovation. However, local authorities that adopt higher and lower levels of innovation than predicted do things differently while the framework has limited applicability to types of management innovation. We concluded that the Berry and Berry model is best suited to the analysis of total innovation, but not as well suited to the analysis of different types of innovation. We also outline a research agenda that might better explain the diffusion of public policy and public management innovation types than is captured by current literature. © 2011 Taylor & Francis.
Persistent Identifierhttp://hdl.handle.net/10722/134841
ISSN
2015 Impact Factor: 1.872
2015 SCImago Journal Rankings: 1.138
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWalker, RMen_HK
dc.contributor.authorAvellaneda, CNen_HK
dc.contributor.authorBerry, FSen_HK
dc.date.accessioned2011-07-19T06:26:57Z-
dc.date.available2011-07-19T06:26:57Z-
dc.date.issued2011en_HK
dc.identifier.citationPublic Management Review, 2011, v. 13 n. 1, p. 95-125en_HK
dc.identifier.issn1471-9037en_HK
dc.identifier.urihttp://hdl.handle.net/10722/134841-
dc.description.abstractBerry and Berry (1999, 2007) argue that diffusion of policy innovations is driven by learning, competition, public pressure or mandates from higher levels of authority. We undertake a first time analysis of thiswhole framework and present three sub-studies of innovation. First, we examine the drivers of total innovation. Second, we assess whether the factors influencing the most innovative localities are similar to or different from the factors impacting the low localities. Finally, we disaggregate total innovation into three different innovation types. Our findings, undertaken on a panel of English local governments over four years, reveal that amajority of the diffusion drivers from innovation and diffusion theory are indeed positively significant for total innovation. However, local authorities that adopt higher and lower levels of innovation than predicted do things differently while the framework has limited applicability to types of management innovation. We concluded that the Berry and Berry model is best suited to the analysis of total innovation, but not as well suited to the analysis of different types of innovation. We also outline a research agenda that might better explain the diffusion of public policy and public management innovation types than is captured by current literature. © 2011 Taylor & Francis.en_HK
dc.languageeng-
dc.publisherRoutledge. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/14719037.aspen_HK
dc.relation.ispartofPublic Management Reviewen_HK
dc.rightsThis is an electronic version of an article published in [include the complete citation information for the final version of the article as published in the print edition of the journal]. [JOURNAL TITLE] is available online at: http://www.informaworld.com/smpp/ with the open URL of your article-
dc.subjectDiffusionen_HK
dc.subjectEmpiricalen_HK
dc.subjectHigh and low innovation localitiesen_HK
dc.subjectInnovationen_HK
dc.titleExploring the diffusion of innovation among high and low innovative localities: A test of the Berry and Berry modelen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1471-9037&volume=13&issue=1&spage=95&epage=125&date=2011&atitle=Exploring+the+diffusion+of+innovation+among+high+and+low+innovative+localities-
dc.identifier.emailWalker, RM: rwalker@hkucc.hku.hken_HK
dc.identifier.authorityWalker, RM=rp00876en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/14719037.2010.501616en_HK
dc.identifier.scopuseid_2-s2.0-79851493479en_HK
dc.identifier.hkuros185966-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79851493479&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume13en_HK
dc.identifier.issue1en_HK
dc.identifier.spage95en_HK
dc.identifier.epage125en_HK
dc.identifier.isiWOS:000287207300005-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridWalker, RM=7404929478en_HK
dc.identifier.scopusauthoridAvellaneda, CN=26530834200en_HK
dc.identifier.scopusauthoridBerry, FS=7102398221en_HK
dc.identifier.citeulike8852658-

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