Modeling the return on investment in human capital in the IT industry of Ukraine

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Authors:


A.Yu.Polchanov*, orcid.org/0000-0001-6019-9275, Zhytomyr Polytechnic State University, Zhytomyr, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

N.H.Vyhovska, orcid.org/0000-0001-7129-6169, Zhytomyr Polytechnic State University, Zhytomyr, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

N.V.Valinkevych, orcid.org/0000-0001-8804-868X, Polissia National University, Zhytomyr, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

I.V.Lytvynchuk, orcid.org/0000-0003-3316-4952, Zhytomyr Polytechnic State University, Zhytomyr, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O.Yu.Polchanov, orcid.org/0000-0002-6664-1383, Zhytomyr Polytechnic State University, Zhytomyr, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


повний текст / full article



Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2024, (1): 191 - 196

https://doi.org/10.33271/nvngu/2024-1/191



Abstract:



Purpose.
To identify patterns of return on investment in human capital in the IT industry of Ukraine through a quantitative assessment of the relationship between the income of IT specialists and the experience and other characteristics of the specialist and the company, as well as the formation of relevant recommendations.


Methodology.
The empirical basis of the study was a survey on the salary of IT specialists in Ukraine conducted in December 2022. The methodological basis of the study was general scientific and special research methods, in particular, the method of abstraction (to focus on the main determinants of the formation of IT specialists’ income), induction (to extrapolate the patterns found in the sample to the entire IT industry of Ukraine), economic mathematical modeling (for the construction of a multiple regression model that reflects the patterns of influence of factors on the income of IT specialists that exist in reality).


Findings.
It was established that among IT specialists people are predominant with little work experience (up to 5 years). The effect of experience on the growth rate of income has a decreasing non-linear nature, while the most noticeable increase in income is observed during the first years of work in the specialty. It was found that the highest-paid IT professionals are software development engineers, managers at various levels, and quality assurance engineers. It has been proven that the level of English proficiency has a positive effect on income. A higher level of remuneration for the work of IT specialists in product companies and startups compared to outsourcing or outstaffing companies has been established.


Originality.
It has been revealed that the relationship between the income of IT specialists and their work experience, profession, level of English language proficiency, and company type.


Practical value.
The applied value of the study lies in the ability to predict the income of IT specialists. The formed recommendations can be used in the activities of IT companies in terms of improving financial control over the spending of funds for the payment of services of IT specialists, assessing the feasibility of investing funds in personnel development, as well as substantiating the planned indicators of changes in the costs of paying for the services of IT specialists.



Keywords:
IT industry, regression, human capital, income, wages, investments

References:


1. State Statistics Service of Ukraine (2022). Number of registered legal entities by type of economic activity. Retrieved from https://ukrstat.gov.ua/edrpoy/ukr/EDRPU_2023/kved/arh_kved_23.htm.

2. Dashboard of tech ecosystem of Ukraine (2022). Ukrainian Tech Ecosystem Overview. Retrieved from https://uatechecosystem.com/.

3. Do IT Like Ukraine Research: tech industry is growing despite the war. IT Ukraine (2022). Retrieved from https://itukraine.org.ua/files/reports/2022/DoITLikeUkraine2022_EN.pdf.

4. Dattero, R., Galup, S. D., & Dhariwal, K. (2011). The Determinants of Information Technology Wages. International Journal of Human Capital and Information Technology Professionals, 2(1), 48-65. https://doi.org/10.4018/jhcitp.2011010104.

5. Bapna, R., Langer, N., Mehra, A., Gopal, R., & Gupta, A. (2013). Human Capital Investments and Employee Performance: An Analysis of IT Services Industry. Management Science, 59(3), 641-658. https://doi.org/10.1287/mnsc.1120.1586.

6. Bhagwatwar, A., Bala, H., & Ramesh, V. (2014). IT service management employee compensation: Determinants and outcomes. E-Service Journal: A Journal of Electronic Services in The Public and Private Sectors, 9(3), 1-18. https://doi.org/10.2979/eservicej.9.3.1.

7. Ge, C., Kankanhalli, A., & Huang, K. W. (2015). Investigating the determinants of starting salary of IT graduates. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 46(4), 9-25. https://doi.org/10.1145/2843824.2843826.

8. Setor, T., & Joseph, D. (2016). On the Value of Formal IT Education in Early IT Careers: A Multilevel Analysis. ICIS 2016 Proceedings, 13. ISBN 978-099668313-5.

9. Dattero, R., Galup, S. D., Kan, A., & Quan, J. (2016). It Pays to Be Agile. Journal of Computer Information Systems, 57(3), 252-257. https://doi.org/10.1080/14659891.2016.1184025.

10. Setor, T. K., & Joseph, D. (2016). On the Value of Formal IT Education in Early IT Careers: A Multilevel Analysis. ICIS 2016 Proceedings. Retrieved from https://aisel.aisnet.org/icis2016/ISCurriculum/Presentations/13.

11. Dash, M., Bakshi, S., & Chugh, A. (2017). The Relationship Between Work Experience And Employee Compensation: A Case Study Of The Indian It Industry. Journal of Applied Management and Investments, 6(1), 5-10.

12. Martín, I., Mariello, A., Battiti, R., & Hernández, J. A. (2018). Salary prediction in the IT job market with few high-dimensional samples: A Spanish case study. International Journal of Computational Intelligence Systems, 11(1), 1192-1209. https://doi.org/10.2991/ijcis.11.1.90.

13. Kim Y.-K., & Hur, Y.-J. (2019). Differences in Wage Level of First Time IT Workers Based on the Interaction Between Employment Type with Job Search Path and Company Type. Journal of Engineering and Applied Sciences, 14, 1457-1461. https://doi.org/0.36478/JEASCI.2019.1457.1461.

14. Tambe, P., Ye, X., & Cappelli, P. (2020). Paying to Program? Engineering Brand and High-Tech Wages. Management Science, 66(7), 3010-3028. https://doi.org/10.1287/mnsc.2019.3343.

15. Atasoy, H., Banker, R. D., & Pavlou, P. A. (2021). Information technology skills and labor market outcomes for workers. Information Systems Research, 32(2), 437-461. https://doi.org/10.1287/isre.2020.0975.

16. Jaisawal, R. (2022). Machine Learning to Evaluate Important Human Capital (HC) Determinants Impacting IT Compensation. Ramanujan International Journal of Business and Research, 7(2), 16-25. https://doi.org/10.51245/rijbr.v7i2.2022.797.

17. Serpeninova, Y., Lehenchuk, S., Mateášová, M., Ostapchuk, T., & Polishchuk, I. (2022). Impact of intellectual capital on profitability: evidence from software development companies in the Slovak republic. Problems and Perspectives in Management, 20(2), 411-425. https://doi.org/10.21511/ppm.20(2).2022.34.

18. Jaiswal, R., Gupta, S., & Tiwari, A.K. (2023). Dissecting the compensation conundrum: a machine learning-based prognostication of key determinants in a complex labor market. Management Decision, 61(8), 2322-2353. https://doi.org/10.1108/MD-07-2022-0976.

19. DOU (2023). Statistics of salaries of programmers, testers and PMs in Ukraine. Retrieved from https://jobs.dou.ua/salaries/.

20. State Statistics Service of Ukraine (2022). Average monthly wages by types of economic activity for the quarter. Retrieved from https://www.ukrstat.gov.ua/operativ/operativ2017/gdn/snzp/snzp_ek/smzp_ek_u.htm.

 

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ISSN (print) 2071-2227,
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Journal was registered by Ministry of Justice of Ukraine.
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