An extended Markov-switching model approach to latent heterogeneity in departmentalized manpower systems

Ossai, Everestus O.; Nduka, Uchenna C.; Madukaife, Mbanefo S.; Udom, Akaninyene U.; Ugwu, Samson O.

doi:10.1080/03610926.2023.2255322

Cited by 1 publication

(1 citation statement)

References 35 publications

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“…The application of statistical techniques in manpower planning has been a long standing practice [1]. The dynamics of a manpower system, arising from the interplay of manpower flows such as promotion, transfer, recruitment and wastage, present the platform for statistical manpower planning [2].…”

Section: Introductionmentioning

confidence: 99%

Steady State Conditions in Tractable Markov Manpower Model for an Extended Manpower System

Ossai

2023

AJPAS

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In this work, a formulation of manpower structure in discrete-time homogeneous Markov model is done for a multilevel manpower system. The structure of the manpower system is first extended in a departmentalized framework and the features of the extended structure utilized to create a scenario of personnel membership in three classes: the active, non-active and external classes. This allows for the inclusion of different units of the system in the model. Specifically, a pool of members in absorbing states with respect to intra-class transitions is included, which forms a second channel of recruitment. The first channel of recruitment is from the external class and all recruits go to the active class. All states of the active class are non-absorbing and give rise to various intra-class and inter-class transitions. Different probability matrices that form the main components of the Markov manpower model are constructed from probabilities of these transitions. One-step steady state condition on the manpower structure is considered, based on the formulated model, and established to be invariant with respect to varying proportion of recruits into the system.

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Section: Introductionmentioning

confidence: 99%

Steady State Conditions in Tractable Markov Manpower Model for an Extended Manpower System

Ossai

2023

AJPAS

View full text Add to dashboard Cite

show abstract

An extended Markov-switching model approach to latent heterogeneity in departmentalized manpower systems

Cited by 1 publication

References 35 publications

Steady State Conditions in Tractable Markov Manpower Model for an Extended Manpower System

Steady State Conditions in Tractable Markov Manpower Model for an Extended Manpower System

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