Labor and assets optimization in the context of increasing the international information company efficiency

User Rating:  / 0
PoorBest 

Authors:


O.Sazonets, orcid.org/0000-0001-6521-7815, University of Customs and Finance, Dnipro, Ukraine, email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Z.Los, orcid.org/0000-0002-1989-5583, National University of Water and Environmental Engineering, Rivne, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

I.Perevozova, orcid.org/0000-0002-3878-802X, Ivano-Frankivsk National Technical Oil and Gas University, Ivano-Frankivsk, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

P.Samoilov, orcid.org/0000-0002-8681-0623, National University of Water and Environmental Engineering, Rivne, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Yu.Zhadanova, orcid.org/0000-0001-5289-3355, O.S. Popov Odesa National Academy of Telecommunication, Odesa, Ukraine, 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. 2020, (6): 155 - 161

https://doi.org/10.33271/nvngu/2020-6/155



Abstract:



Purpose.
Research on the influence of factors of production on the efficiency of the information company.


Methodology.
In the course of the research the following methods were applied: theoretical generalization (to cover the theoretical and methodological foundations of production functions), induction, deduction (to study corporations activity), the systemic approach (to construct an algorithm for determining the optimal values of the average cost of a unit of fixed assets, current assets and average salary), graphic method (for the purpose of visual representation), mathematical modelling (to make a model of optimization of corporations expenditures management).


Findings.
Resulting from the application of the mathematical apparatus it was found out that to ensure maximum profit it is optimal for the information company to hold fixed assets worth 1125.83 hundred dollars with the payment for the personnel in the amount of 130.96 hundred dollars on average per a single specialist with indexation taken into account.


Originality.
There has been suggested an algorithm for determining the optimal values of the average cost of a unit of fixed assets, current assets and average salary. There has been made a model of optimization of a corporations expenditures management using the Cobb-Douglas production function and the theory of Lagrange multipliers. The analysis of the obtained dependence allows reaching the optimal value of these parameters under which the income function reaches the maximum.


Practical value.
The presented methods for solving the problem can be used to increase the competitiveness of the company by determining the reserves for further improvement of the business.


Keywords:
optimization, efficiency, production function, information company, multi-stage model

References.


1. Bilan, Y., Nitsenko, V., Ushkarenko, I., Chmut, A., & Sharapa, O. (2017). Outsourcing in international economic relations. Montenegrin Journal of Economics, 13(3), 175-185. https://doi.org/10.14254/1800-5845/2017.13-3.14.

2. Kleyn, J., Arashi, M., & Bekker, A. (2017). Preliminary testing of the Cobb-Douglas production function and related inferential issues. Communications in statistics-simulation and computation, 46(1), 469-488. https://doi.org/10.1080/03610918.2014.968724.

3. Shen, Z., Hassani, A., & Shi, Q. (2016). Multi-objective time-cost optimization using Cobb-Douglas production function and hybrid genetic algorithm. Journal of Civil Engineering and Management, 22(2), 187-198. https://doi.org/10.3846/13923730.2014.897966.

4. Danyliuk, V., Riepina, I., Shafalyuk, O., Kovylina, M., & Nitsenko, V. (2020). Functional and investment strategies of technical development of enterprises. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (3), 115-121. https://doi.org/10.33271/nvngu/2020-3/115.

5. Bilan, Y., Zos-Kior, M., Nitsenko, V., Sinelnikau, U., & Ilin, V. (2017). Social component in sustainable management of land resources. Journal of Security and Sustainability, 7(2), 107-120. https://doi.org/10.9770/jssi.2017.7.2(9).

6. Latysheva, O., Rovenska, V., Smyrnova, I., Nitsenko, V., Balezentis, T., & Streimikiene, D. (2020). Management of the sustainable development of machine-building enterprises: a sustainable development space approach. Journal of Enterprise Information Management. https://doi.org/10.1108/JEIM-12-2019-0419.

7. Kaleta, A., Radomska, J., & Soloducho-Pelc, L. (2018). The relationship between the approach to strategic management and innovativeness in companies of various sizes. Argumenta oeconomica, 40(1), 203-224. https://doi.org/10.15611/aoe.2018.1.09.

8. Cheng, M.L., & Han, Y. (2014). A modified Cobb-Douglas production function model and its application. IMA Journal of Management Mathematics, 25(3), 353-365. https://doi.org/10.1093/imaman/dpt012.

9. Nitsenko, V., Mardani, A., Streimikis, J., Ishchenko, M., Chaikovsky, M., Stoyanova-Koval, S., & Arutiunian, R. (2019). Automatic Information System of Risk Assessment for Agricultural Enterprises of Ukraine. Montenegrin Journal of Economics, 15(2), 139-152. https://doi.org/10.14254/1800-5845/2019.15-2.11.

10. Lin, Yu., Deng, N., & Gao, H. (2018). Research on technological innovation efficiency of tourist equipment manufacturing enterprises. Sustainability, 10(12), 4826. https://doi.org/10.3390/su10124826.

11. Stijepic, D. (2017). An argument against Cobb-Douglas production functions (in multi-sector growth modeling). Economics Bulletin, 37(2), 1143. https://doi.org/10.2139/ssrn.2610734.

12. Ungerman, O., Dedkova, Ja., & Gurinova, K. (2018). The impact of marketing innovation on the competitiveness of enterprises in the context of industry 4.0. Journal of competitiveness, 10(2), 132-148. https://doi.org/10.7441/joc.2018.02.09.

13. Olejarz, T., Nitsenko, V., Chukurna, O., & Mykhailova,M. (2018). Evaluation of factors influencing labour performance of machine-building enterprises in mining industry. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (1), 154-162. https://doi.org/10.29202/nvngu/2018-1/2.

14. Donato, M.B. (2016). Generalized Lagrange multiplier rule for non-convex vector optimization problems. Proceedings of the royal society of edinburgh section a-mathematics, 146(2), 297-308. https://doi.org/10.1017/S0308210515000463.

15. Alropyab, E.T., Desoukia, N.E., & Alnafissac, M.A. (2019). Economics of technical efficiency in white honey production: Using stochastic frontier production function. Saudi Journal of Biological Science, 26(7), 1478-1484. https://doi.org/10.1016/j.sjbs.2019.09.029.

16. Boshkov, T., & Drakulevski, L. (2017). Strategic and Finance Management Determining Factors for the Success of the Companies in the Business World. Quality-access to success, 18(157), 119-123.

17. Huang, H. (2017). Lagrange multiplier rule for nonconvex set-valued optimization problem. Pacific Journal of Optimization, 13(3), 403-419.

18. Chukurna, O., Nitsenko, V., Kralia, V., Sahachko, Y., Morkunas, M., & Volkov, A. (2019). Modelling and Managing the Effect of Transferring the Dynamics of Exchange Rates on Prices of Machine-Building Enterprises in Ukraine. Polish Journal of Management Studies, 19(1), 117-129. https://doi.org/10.17512/pjms.2019.19.1.09.

19. Chavez, C.E.D. (2018). Gerencia cuntica como plataforma estratgica de la servuccin en empresas privadas. Revista cicag, 15(2), 108-132.

20. Sun, G., & Xia, W. (2016). Evaluation method for innovation capability and efficiency of high technology enterprises with interval-valued intuitionistic fuzzy information. Journal of intelligent & fuzzy systems, 31(3), 1419-1425. https://doi.org/10.3233/IFS-162208.

 

Visitors

7564849
Today
This Month
All days
4131
87335
7564849

Guest Book

If you have questions, comments or suggestions, you can write them in our "Guest Book"

Registration data

ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

Contacts

D.Yavornytskyi ave.,19, pavilion 3, room 24-а, Dnipro, 49005
Tel.: +38 (056) 746 32 79.
e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
You are here: Home Archive by issue 2020 Content №6 2020 Labor and assets optimization in the context of increasing the international information company efficiency