A Cluster Model of the Human Resources Management
Journal Title: Проблеми економіки - Year 2015, Vol 2015, Issue 1
Abstract
The article aims to develop a cluster model for evaluation of human resources allowing classification of Ukrainian regions depending on the parameters of condition and potential for development of their human resources. For the purpose of defining the function of the regional object belonging to a certain class of cyclical development (pre-crisis, crisis, post-crisis, normal), the article provides a rationale for utilization of the fuzzy modification of the Robbins-Monro stochastic algorithm in the space of orthogonal functions generated with the aid of the Hermite recurrence relation. The developed cluster model for evaluation of the regional economic objects is adjusted for determination of the cyclical development stage of Ukrainian regions depending on the state and potential for development of their human resources. The dividing surfaces of classes separate one class from another, which significantly increases the classification accuracy of the model and reduces the classification uncertainty area. Taking into account the determinacy level of class prototype objects at each iteration step significantly increases the convergence speed of the Robbins-Monro iteration procedure. The developed cluster model allows increasing the promptness and quality of regional management through differentiation of management measures and use of typical managerial decisions with respect to a specific human resources development stage, namely: normal, pre-crisis, crisis, or post-crisis stages.
Authors and Affiliations
Anna Kovalchuk
Keywords
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