DEVELOPMENT OF A SOFTWARE SYSTEM FOR PREDICTING EMPLOYEE RATINGS
| Autor: | Gulnar Balakayeva, Dauren Darkenbayev, Mukhit Zhanuzakov |
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| Jazyk: | English<br />Polish |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 13, Iss 3 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2083-0157 2391-6761 |
| DOI: | 10.35784/iapgos.3723 |
| Popis: | The article deals with the problems of increasing the efficiency of enterprises and developing a system for assessing the rating of employees of an enterprise. Aspects of motivation for compliance with standards by employees and structural divisions are also considered; they were studied because employees are the main driving force of any enterprise. In order to properly evaluate it, many companies need rating systems. In this article, the authors conducted a study and developed a software package for assessing employees of an enterprise. This article describes how to develop a ranking prediction system. MongoDB is used as a database, as the fastest way to innovate, providing the flexibility and ease of use of a database. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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