Multi-level nursing workforce planning considering talent management in healthcare with a dynamic quantitative approach
ISSN: 0368-492X
Article publication date: 10 August 2021
Issue publication date: 29 November 2022
Abstract
Purpose
Workforce planning must answer how many workforces, in which positions, and talents, and when each organization is needed. To find the requirements workforce, organizations need to know the organizational position and talents pools. Clarifying the number of workforces required in each pool requires attention to workforce flows, including hiring, promotion, degradation, horizontal movement, and exiting the organization. It is a dynamic issue and must be addressed over several periods over a specific duration, which adds to the complexity. According to the talent management presented in this research, all the above complex questions are answered by applying the optimal control (OC) model according to talent management presented in this research.
Design/methodology/approach
This research presents a dynamic model by using a linear-quadratic optimal control model, which was solved by Pontryagin's maximum principle, to achieve an optimal number of workforce requirements for each of the positions of nursing services manager, supervisor, head nurses and nurses in the health sector according to the required talents in each position.
Findings
The results have shown that the target value of workforce numbers has been achieved in the planning period, and the validation test and sensitivity analysis justified the model by reaching the workforce planning targets.
Originality/value
This study provides a dynamic model for achieving quantitative workforce planning targets; the model presented in this manuscript has included an important qualitative factor, namely workforce talents. According to the authors' review, there is no comprehensive research devoted to workforce planning through optimal control models by attention to workforces skills.
Keywords
Acknowledgements
The authors would like to acknowledge the Faculty of Economics and Administrative Sciences, the Ferdowsi University of Mashhad for the support and contribution provided to this study.
Author contributions: All authors have contributed equally in terms of intellectual content and have approved the final version.
Conflicts of interest Competing interests: The authors declare that there is no conflict of interest regarding the publication of this study.
Citation
Monazam Ebrahimpour, S., Rahimnia, F., Pooya, A. and Pakdaman, M. (2022), "Multi-level nursing workforce planning considering talent management in healthcare with a dynamic quantitative approach", Kybernetes, Vol. 51 No. 11, pp. 3280-3304. https://doi.org/10.1108/K-04-2021-0261
Publisher
:Emerald Publishing Limited
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