SALDA-ML: Machine Learning Based System Design to Predict Salary In-crease

Küçük Resim Yok

Tarih

2022

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Osman ÖZKARACA

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

Number of employees are increases with growing in companies. Firms basically make salary increases for their employees in order not to lose their talents and moreover to increase them. Although there is not much problem in how to in-crease the salary in small organizations, this process should be carried out carefully in terms of many parameters in large organizations and should not result in negativities that may disrupt employee motivation. For companies with a large number of employees, creating a model in which the market conditions are determined correctly and all economic parameters are taken into account reveals the need for a process that needs to be worked on for months. In this context, a machine learning-based salary increase prediction system was designed with the study. Specific attributes were determined and a specific scale was developed for performance score for this study.

[No abstract available]

Açıklama

Anahtar Kelimeler

Salary Increase, Machine Learning, Work Flow, Personnel Performance Measurement, System Design, Software Develop

Kaynak

Advances in Artificial Intelligence Research

WoS Q Değeri

Scopus Q Değeri

Cilt

2

Sayı

1

Künye

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