Effects of Prioritized Input on Human Resource Control in Departmentalized Markov Manpower Framework

E. O. Ossai (), M. S. Madukaife, A. U. Udom, U. C. Nduka and T. E. Ugah
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E. O. Ossai: University of Nigeria
M. S. Madukaife: University of Nigeria
A. U. Udom: University of Nigeria
U. C. Nduka: University of Nigeria
T. E. Ugah: University of Nigeria

Methodology and Computing in Applied Probability, 2023, vol. 25, issue 1, 1-19

Abstract: Abstract In this paper, extended Markov manpower models are formulated by incorporating a new class of members of a departmentalized manpower system in a homogeneous Markov manpower model. The new class, called limbo class, admits members of the system who exit to a limbo state for possible re-engagement in the active class. This results to two channels of recruitment: one from the limbo class and another from the outside environment. The idea is motivated by the need to preserve trained and experienced individuals who could be lost in times of financial crises or due to contract completion. The control aspect of the manpower structure under the extended models are examined. Under suitable stochastic condition for the flow matrices, it is proved that the maintainability of the manpower structure through promotion does not depend on the structural form of the limbo class when the system is expanding with priority on recruitment from outside environment, nor on the structural form of the active class when the system is shrinking with priority on recruitment from the limbo class. Necessary and sufficient conditions for maintainability of the manpower structure through recruitment in the case of expanding systems are also established with proofs.

Keywords: Markov Model; Human Resource Planning; Probability Matrix; Prioritized Input; 37A50; (Dynamical; systems; and; their; relations; with; probability; theory; and; stochastic; processes) (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11009-023-10011-8

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