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Assessing the Managerial Capabilities of Staff

A Systematic Model

Bibliographic Data

ID13016206
AuthorsMadiyar Yunussov (M.Auezov South Kazakhstan State University, corresponding author), Altyn Yessirkepova (0000-0002-5028-238X, M.Auezov South Kazakhstan State University), Parida Baineyeva (0000-0003-1586-3450, Tashenev University), Zhanna M Aliyeva (Narxoz University), Inna Polezhayeva (M.Auezov South Kazakhstan State University)
Year2024
Volume11
Issue4
Pages75-89
Publication date2024-03-29
Open AccessYes
TypeARTICLE
VenueSpace and Culture India (JOURNAL)
Journal identifiersISSN: 2052-8396 • E-ISSN: 2052-8396
PublisherACCB Publishing (PUBLISHER • GB)
DOI10.20896/saci.v11i4.1411
OpenAlexW4393305653
LanguageEN
References cited27

Currently, there are many advanced and proven evaluation methods. However, there is practically no work on the systematisation of evaluation criteria considering management levels, tasks, and functions. The purpose of the study is to develop a systemological model for assessing the managerial potential of personnel, which combines the main components that determine the effectiveness of the organisation’s management staff. This study involved 48 males and 34 females aged 23 to 66 years, performing the role and functions of a leader. The primary condition for selecting the participants for the study was based on the level of higher education and managerial experience. All respondents were divided into five groups based on their qualifications, as well as the experiences gained from the management activities. To accomplish the study’s objectives, an evaluation list of criteria was compiled, which made it possible to systematise the managerial potential of personnel based on management levels, tasks, and functions performed. The findings of the study demonstrate systematisation of approaches to managerial potential from the organisation’s perspective, which in turn allowed us to build a systemological model for assessing the managerial potential of personnel

Business · Computer Science · Innovation and Knowledge Management · Intellectual Capital and Performance Analysis · Knowledge Management in Higher Education · Psychology

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