Journals / Advances in Artificial Intelligence Research / 2026 / Cilt: 2 Sayı: 1

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

Yasin Görmez(CUMHURİYET ÜNİVERSİTESİ)0000-0001-8276-2030
Halil Arslan(SİVAS CUMHURİYET ÜNİVERSİTESİ)0000-0003-3286-5159
Pages
15–19
Publication Date
2022-02-16
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Specific attributes were determined and a specific scale was developed for performance score for this study.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Number of employees are increases with growing in companies.
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Key Findings & Data:Firms basically make salary increases for their employees in order not to lose their talents and moreover to increase them.
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Conclusion & Impact:Specific attributes were determined and a specific scale was developed for performance score for this study.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Salary Increase · Machine Learning · Work Flow

Abstract

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.

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Cite This Article

Görmez, Y., Arslan, H., Sarı, S., Danış, M. (2022). SALDA-ML: Machine Learning Based System Design to Predict Salary In-crease. Advances in Artificial Intelligence Research, Cilt: 2 Sayı: 1, 15–19. https://doi.org/10.54569/aair.1029836

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