Quantitative Structuring of Academic Staff in HEIs: Analytics Tool for Data-Driven Decision-Making
Decision-making for human resource management is among the important processes determining the Higher Educational Institution’s (HEI) future stability and development. The article presents the process for the design and development of an analytics tool to assist the HEI governing bodies in monitorin...
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| Format: | Article |
| Language: | English |
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Sciendo
2025-06-01
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| Series: | Cybernetics and Information Technologies |
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| Online Access: | https://doi.org/10.2478/cait-2025-0010 |
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| author | Gaftandzhieva Silvia N. Doneva Rositsa Zh. Bliznakov Milen P. |
| author_facet | Gaftandzhieva Silvia N. Doneva Rositsa Zh. Bliznakov Milen P. |
| author_sort | Gaftandzhieva Silvia N. |
| collection | DOAJ |
| description | Decision-making for human resource management is among the important processes determining the Higher Educational Institution’s (HEI) future stability and development. The article presents the process for the design and development of an analytics tool to assist the HEI governing bodies in monitoring the academic personnel provision from a quantitative point of view and making decisions about the need to announce appointment and career growth competitions of academic staff members. The tool generates comparative staffing analyses at different HEI levels according to a predefined set of criteria. It allows the governing bodies to track which academic units there is a need for appointments, so that at the same time, the educational process is ensured and the relevant regulatory requirements are met. This enables the optimization and promotion of the efficiency of human resource management processes. The results of the conducted experiments prove the tool’s effectiveness and applicability. |
| format | Article |
| id | doaj-art-4e9619a51d914815a7b16b47f8919b3d |
| institution | OA Journals |
| issn | 1314-4081 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Cybernetics and Information Technologies |
| spelling | doaj-art-4e9619a51d914815a7b16b47f8919b3d2025-08-20T02:38:36ZengSciendoCybernetics and Information Technologies1314-40812025-06-01252315010.2478/cait-2025-0010Quantitative Structuring of Academic Staff in HEIs: Analytics Tool for Data-Driven Decision-MakingGaftandzhieva Silvia N.0Doneva Rositsa Zh.1Bliznakov Milen P.21University of Plovdiv “Paisii Hilendarski”, Plovdiv4000, Bulgaria1University of Plovdiv “Paisii Hilendarski”, Plovdiv4000, Bulgaria1University of Plovdiv “Paisii Hilendarski”, Plovdiv4000, BulgariaDecision-making for human resource management is among the important processes determining the Higher Educational Institution’s (HEI) future stability and development. The article presents the process for the design and development of an analytics tool to assist the HEI governing bodies in monitoring the academic personnel provision from a quantitative point of view and making decisions about the need to announce appointment and career growth competitions of academic staff members. The tool generates comparative staffing analyses at different HEI levels according to a predefined set of criteria. It allows the governing bodies to track which academic units there is a need for appointments, so that at the same time, the educational process is ensured and the relevant regulatory requirements are met. This enables the optimization and promotion of the efficiency of human resource management processes. The results of the conducted experiments prove the tool’s effectiveness and applicability.https://doi.org/10.2478/cait-2025-0010decision-makinganalyticsacademic staffcareer growthmonitoring |
| spellingShingle | Gaftandzhieva Silvia N. Doneva Rositsa Zh. Bliznakov Milen P. Quantitative Structuring of Academic Staff in HEIs: Analytics Tool for Data-Driven Decision-Making Cybernetics and Information Technologies decision-making analytics academic staff career growth monitoring |
| title | Quantitative Structuring of Academic Staff in HEIs: Analytics Tool for Data-Driven Decision-Making |
| title_full | Quantitative Structuring of Academic Staff in HEIs: Analytics Tool for Data-Driven Decision-Making |
| title_fullStr | Quantitative Structuring of Academic Staff in HEIs: Analytics Tool for Data-Driven Decision-Making |
| title_full_unstemmed | Quantitative Structuring of Academic Staff in HEIs: Analytics Tool for Data-Driven Decision-Making |
| title_short | Quantitative Structuring of Academic Staff in HEIs: Analytics Tool for Data-Driven Decision-Making |
| title_sort | quantitative structuring of academic staff in heis analytics tool for data driven decision making |
| topic | decision-making analytics academic staff career growth monitoring |
| url | https://doi.org/10.2478/cait-2025-0010 |
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