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Bayesian network revealing pathways to workplace innovation and career satisfaction in the public service

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  • Warit Wipulanusat
  • Kriengsak Panuwatwanich
  • Rodney A. Stewart
  • Stewart L. Arnold
  • Jue Wang

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.

Suggested Citation

  • Warit Wipulanusat & Kriengsak Panuwatwanich & Rodney A. Stewart & Stewart L. Arnold & Jue Wang, 2020. "Bayesian network revealing pathways to workplace innovation and career satisfaction in the public service," Journal of Management Analytics, Taylor & Francis Journals, vol. 7(2), pages 253-280, April.
    • Handle: RePEc:taf:tjmaxx:v:7:y:2020:i:2:p:253-280
    DOI: 10.1080/23270012.2020.1749900
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    Citations

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    Cited by:

    1. Kattreeya Chanpariyavatevong & Warit Wipulanusat & Thanapong Champahom & Sajjakaj Jomnonkwao & Dissakoon Chonsalasin & Vatanavongs Ratanavaraha, 2021. "Predicting Airline Customer Loyalty by Integrating Structural Equation Modeling and Bayesian Networks," Sustainability, MDPI, vol. 13(13), pages 1-21, June.
    2. Hong Jiang & Shuyu Sun & Hongtao Xu & Shukuan Zhao & Yong Chen, 2020. "Enterprises' network structure and their technology standardization capability in Industry 4.0," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 749-765, July.
    3. Haitham M. Alzoubi & Hamzah Elrehail & Jalal Rajeh Hanaysha & Anwar Al-Gasaymeh & Raid Al-Adaileh, 2022. "The Role of Supply Chain Integration and Agile Practices in Improving Lead Time During the COVID-19 Crisis," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 13(1), pages 1-11, January.
    4. Warit Wipulanusat & Jirapon Sunkpho & Rodney Anthony Stewart, 2021. "Effect of Cross-Departmental Collaboration on Performance: Evidence from the Federal Highway Administration," Sustainability, MDPI, vol. 13(11), pages 1-22, May.
    5. Hong Jiang & Sipeng Gao & Shukuan Zhao & Hong Chen, 2020. "Competition of technology standards in Industry 4.0: An innovation ecosystem perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 772-783, July.
    6. Alsaad, Abdallah Khalaf, 2021. "Ethical judgment, subjective norms, and ethical consumption: The moderating role of moral certainty," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).

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