Araştırma Makalesi

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

Cilt: 2 Sayı: 1 16 Şubat 2022
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SALDA-ML: Machine Learning Based System Design to Predict Salary In-crease

Öz

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.

Anahtar Kelimeler

Destekleyen Kurum

Detaysoft

Teşekkür

This study is an output of studies conducted in DetaySoft research and development center. We appreciate their support.

Kaynakça

  1. D. Card, A. Mas, E. Moretti, and E. Saez, ‘Inequality at Work: The Effect of Peer Salaries on Job Satisfaction’, Am. Econ. Rev., vol. 102, no. 6, pp. 2981–3003, Oct. 2012, doi: 10.1257/aer.102.6.2981.
  2. R. A. Thacker, ‘Gender, influence tactics, and job characteristics prefer-ences: New insights into salary determination’, Sex Roles, vol. 32, no. 9, pp. 617–638, May 1995, doi: 10.1007/BF01544215.
  3. J. R. Hill and N. A. Jolly, ‘Salary Distribution and Collective Bargaining Agreements: A Case Study of the NBA’, Ind. Relat. J. Econ. Soc., vol. 51, no. 2, pp. 342–363, 2012, doi: https://doi.org/10.1111/j.1468-232X.2012.00680.x.
  4. ‘Korn Ferry | Organizational Consulting’. https://www.kornferry.com (ac-cessed Mar. 31, 2021).
  5. K. S. Koong, L. C. Liu, and R. Fowler, ‘Salaries of information technology managers; A trend analysis’, p. 15, 2003.
  6. Y. Kathawala, K. J. Moore, and D. Elmuti, ‘Preference between Salary or Job Security Increase’, Int. J. Manpow., vol. 11, no. 7, pp. 25–31, Jan. 1990, doi: 10.1108/01437729010004174.
  7. S. Mohan and P. R. Muthuswamy, ‘A study on employee retention in BPO Sector with special reference to Coimbotore’, Int. J. Inf. Futur. Res., vol. 2, no. 6, 2015.
  8. M. Indrasari, B. R. Purnomo, E. Yunus, E. Haryati, and A. R. Hashmi, ‘The Effect of Salary Satisfaction, Work Satisfaction and Organizational Com-mitment To Work Intention’, J. Didask., vol. 1, no. 1, Art. no. 1, Nov. 2018, doi: 10.33856/didaskalia.v1i1.54.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yapay Zeka

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

16 Şubat 2022

Gönderilme Tarihi

29 Kasım 2021

Kabul Tarihi

21 Ocak 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 2 Sayı: 1

Kaynak Göster

APA
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, 2(1), 15-19. https://doi.org/10.54569/aair.1029836
AMA
1.Görmez Y, Arslan H, Sarı S, Danış M. SALDA-ML: Machine Learning Based System Design to Predict Salary In-crease. Adv. Artif. Intell. Res. 2022;2(1):15-19. doi:10.54569/aair.1029836
Chicago
Görmez, Yasin, Halil Arslan, Suat Sarı, ve Mücahid Danış. 2022. “SALDA-ML: Machine Learning Based System Design to Predict Salary In-crease”. Advances in Artificial Intelligence Research 2 (1): 15-19. https://doi.org/10.54569/aair.1029836.
EndNote
Görmez Y, Arslan H, Sarı S, Danış M (01 Şubat 2022) SALDA-ML: Machine Learning Based System Design to Predict Salary In-crease. Advances in Artificial Intelligence Research 2 1 15–19.
IEEE
[1]Y. Görmez, H. Arslan, S. Sarı, ve M. Danış, “SALDA-ML: Machine Learning Based System Design to Predict Salary In-crease”, Adv. Artif. Intell. Res., c. 2, sy 1, ss. 15–19, Şub. 2022, doi: 10.54569/aair.1029836.
ISNAD
Görmez, Yasin - Arslan, Halil - Sarı, Suat - Danış, Mücahid. “SALDA-ML: Machine Learning Based System Design to Predict Salary In-crease”. Advances in Artificial Intelligence Research 2/1 (01 Şubat 2022): 15-19. https://doi.org/10.54569/aair.1029836.
JAMA
1.Görmez Y, Arslan H, Sarı S, Danış M. SALDA-ML: Machine Learning Based System Design to Predict Salary In-crease. Adv. Artif. Intell. Res. 2022;2:15–19.
MLA
Görmez, Yasin, vd. “SALDA-ML: Machine Learning Based System Design to Predict Salary In-crease”. Advances in Artificial Intelligence Research, c. 2, sy 1, Şubat 2022, ss. 15-19, doi:10.54569/aair.1029836.
Vancouver
1.Yasin Görmez, Halil Arslan, Suat Sarı, Mücahid Danış. SALDA-ML: Machine Learning Based System Design to Predict Salary In-crease. Adv. Artif. Intell. Res. 01 Şubat 2022;2(1):15-9. doi:10.54569/aair.1029836

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