Achieving career satisfaction through fostering innovation: lessons from the engineering profession in the Australian public sector
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Panuwatwanich, Kriengsak
Stewart, Rodney A
Sunkpho, Jirapon
Thamsatitdej, Poomporn
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Abstract
This paper proposes a novel approach that integrates the capability of empirical validation of structural equation modelling (SEM) and the prediction ability of Bayesian networks (BN). The Hybrid SEM–BN approach was used as a decision support framework to examine the interplay between salient organisational constructs and their ability to influence engineers’ career satisfaction in the Australian Public Service (APS). The results emphasise that the ambidextrous culture for innovation was the most important factor that needed to be implemented in their organisation. Managerial implications are recommended for senior managers on how they can implement innovation culture to increase workplace innovation, which could, in turn, help reduce the turnover rate of engineers employed in the APS.
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Engineering Management in Production and Services
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13
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4
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© 2021 Warit Wipulanusat et al., published by Sciendo This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
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Workforce planning
Innovation management
Decision support and group support systems
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Wipulanusat, W; Panuwatwanich, K; Stewart, RA; Sunkpho, J; Thamsatitdej, P, Achieving career satisfaction through fostering innovation: lessons from the engineering profession in the Australian public sector, Engineering Management in Production and Services, 2021, 13 (4), pp. 7-21