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dc.contributor.authorWipulanusat, Warit
dc.contributor.authorPanuwatwanich, Kriengsak
dc.contributor.authorStewart, Rodney A
dc.contributor.authorArnold, Stewart L
dc.contributor.authorWang, Jue
dc.date.accessioned2020-09-17T23:31:39Z
dc.date.available2020-09-17T23:31:39Z
dc.date.issued2020
dc.identifier.issn2327-0012
dc.identifier.doi10.1080/23270012.2020.1749900
dc.identifier.urihttp://hdl.handle.net/10072/397581
dc.description.abstractThis paper examined the innovation process in the Australian Public Service (APS) using a Bayesian network (BN) founded on an empirically derived structural equation model. The focus of the BN was to examine the impact of leadership style and organisational culture on workplace innovation and career satisfaction in the APS. Using scenario analysis, the best combination of managerial actions for enhancing APS career satisfaction was determined. The results emphasise the benefit of encouraging management to adopt a transformational leadership style and instilling innovative culture in their organisation. In addition, innovative culture was a key driver of workplace innovation, which served to improve the career satisfaction of APS employees. Implications are discussed to propose practical strategies for organisations wish to encourage innovation among employees.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherRoutledge: Taylor & Francis Group
dc.relation.ispartofpagefrom253
dc.relation.ispartofpageto280
dc.relation.ispartofissue2
dc.relation.ispartofjournalJournal of Management Analytics
dc.relation.ispartofvolume7
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchBusiness and Management
dc.subject.fieldofresearchcode08
dc.subject.fieldofresearchcode1503
dc.subject.keywordsSocial Sciences
dc.subject.keywordsSocial Sciences, Mathematical Methods
dc.subject.keywordsMathematical Methods In Social Sciences
dc.subject.keywordsinnovation
dc.subject.keywordspublic sectors
dc.titleBayesian network revealing pathways to workplace innovation and career satisfaction in the public service
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationWipulanusat, W; Panuwatwanich, K; Stewart, RA; Arnold, SL; Wang, J, Bayesian network revealing pathways to workplace innovation and career satisfaction in the public service, Journal of Management Analytics, 2020, 7 (2), pp. 253-280
dc.date.updated2020-09-16T06:30:31Z
dc.description.versionPost-print
gro.rights.copyrightThis is an Author's Accepted Manuscript of an article published in Journal of Management Analytics, 7 (2), pp. 253-280, 20 Apr 2020, copyright Taylor & Francis, available online at: https://doi.org/10.1080/23270012.2020.1749900
gro.hasfulltextFull Text
gro.griffith.authorStewart, Rodney A.
gro.griffith.authorPanuwatwanich, Kriengsak


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