Bayesian network revealing pathways to workplace innovation and career satisfaction in the public service. Issue 2 (2nd April 2020)

• Record Type: Journal Article
• Authors: Wipulanusat, Warit; Panuwatwanich, Kriengsak; Stewart, Rodney A.; Arnold, Stewart L.; Wang, Jue
• Is Part Of: Journal of management analytics. Volume 7:Issue 2(2020)
• Page Start: 253
• Page End: 280
• Publication Date: 2020-04-02
• Subjects: innovation -- public sectors -- scenario analysis -- Bayesian network -- structural equation model; Management -- Mathematical models -- Periodicals; Management -- Periodicals; Management -- Mathematical models; Management; Periodicals; 658.4033
• DOI: 10.1080/23270012.2020.1749900
• Languages: English
• ISSNs: 2327-0012

Abstract

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.