dc.contributor.author | Wipulanusat, Warit | |
dc.contributor.author | Panuwatwanich, Kriengsak | |
dc.contributor.author | Stewart, Rodney A | |
dc.contributor.author | Arnold, Stewart L | |
dc.contributor.author | Wang, Jue | |
dc.date.accessioned | 2020-09-17T23:31:39Z | |
dc.date.available | 2020-09-17T23:31:39Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 2327-0012 | |
dc.identifier.doi | 10.1080/23270012.2020.1749900 | |
dc.identifier.uri | http://hdl.handle.net/10072/397581 | |
dc.description.abstract | This 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.peerreviewed | Yes | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Routledge: Taylor & Francis Group | |
dc.relation.ispartofpagefrom | 253 | |
dc.relation.ispartofpageto | 280 | |
dc.relation.ispartofissue | 2 | |
dc.relation.ispartofjournal | Journal of Management Analytics | |
dc.relation.ispartofvolume | 7 | |
dc.subject.fieldofresearch | Information and computing sciences | |
dc.subject.fieldofresearch | Business systems in context | |
dc.subject.fieldofresearch | Human resources and industrial relations | |
dc.subject.fieldofresearch | Strategy, management and organisational behaviour | |
dc.subject.fieldofresearchcode | 46 | |
dc.subject.fieldofresearchcode | 3503 | |
dc.subject.fieldofresearchcode | 3505 | |
dc.subject.fieldofresearchcode | 3507 | |
dc.subject.keywords | Social Sciences | |
dc.subject.keywords | Social Sciences, Mathematical Methods | |
dc.subject.keywords | Mathematical Methods In Social Sciences | |
dc.subject.keywords | innovation | |
dc.subject.keywords | public sectors | |
dc.title | Bayesian network revealing pathways to workplace innovation and career satisfaction in the public service | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dcterms.bibliographicCitation | Wipulanusat, 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.updated | 2020-09-16T06:30:31Z | |
dc.description.version | Accepted Manuscript (AM) | |
gro.rights.copyright | This 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.hasfulltext | Full Text | |
gro.griffith.author | Stewart, Rodney A. | |