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Diagnostic approach to measuring labor productivity in FMCG production

https://doi.org/10.18384/2310-6646-2023-2-103-111

Abstract

Aim. The aim of this study is to justify the change in measuring the productivity of an employee at a fixed workplace and the transition to measuring the productivity of a system of machines that perform all operations in automatic mode according to the “black box” - “input-output” principle.

Methodology. The article uses a diagnostic approach to measuring labor productivity based on data from a production line.

Results. The diagnostic approach is formalized as a synthesis of analytical and managerial functions. The applicability of its use to produce the consumer goods sector is demonstrated.

Research implications. The theoretical and/or practical significance is determined by the possibility of using a diagnostic approach to measure labor productivity in manufacturing enterprises.

About the Author

A. V. Portnov
St. Petersburg State University of Economics
Russian Federation

Alexandr V. Portnov – Postgraduate Student, Department of Statistics and Econometrics



References

1. Bacokin A. O. [Features of Measuring Labor Productivity in Railway Transport]. In: Vestnik Rossijskogo ekonomicheskogo universiteta imeni G. V. Plekhanova [Bulletin of the Plekhanov Russian University of Economics], 2019, no. 1 (103), pp. 105–112.

2. Vodolazskij A. Proizvoditel'nost' truda: problemy i resheniya [Labor productivity: problems and solutions]. St. Petersburg, SUPERIzdatel'stvo Publ., 2021. 15 p.

3. Mironova V. N. [Labor productivity as a factor in improving the competitiveness of the Russian economy]. In: Ekonomika. Nalogi. Pravo [Economics. Taxes. Right], 2017, vol. 10, no. 2, pp. 22–29.

4. Mkrtychan Z. V. [Approaches to the study and evaluation of labor productivity]. In: Uchyot i statistika [Accounting and statistics], 2020, no. 4 (60), pp. 88.

5. Radosteva M. V. [On the issue of labor productivity]. In: Nauchnye vedomosti Belgorodskogo gosudarstvennogo universiteta. Seriya: Ekonomika. Informatika [Scientific Bulletin of the Belgorod State University. Series: Economy. Computer science], 2018, vol. 45, no. 2, pp. 268–272.

6. Bogatyreva I., Simonova M., Privorotskaya E. Current state of labour productivity in the economy of developed countries. In: E3S Web of Conferences, 2019, vol. 91, pp. 92.

7. Geert W., Galen M., Logatcheva K. Industrial Innovation, Labour Productivity, Sales and Employment. In: International Journal of the Economics of Business, 2019, vol. 28, iss. 1,

8. pp. 89–113.

9. Roope O., Maliranta M. Management Practices and Allocation of Employment: Evidence from Finnish Manufacturing. In: International Journal of the Economics of Business, 2021, vol. 28, iss. 1, pp. 115–138.

10. Supachet C. Labor Productivity Growth, Education, Health and Technological Progress: A Cross-Country Analysis. In: Economic Analysis and Policy, 2019, vol. 40, iss. 2, pp. 249–261.


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ISSN 2949-5040 (Print)
ISSN 2949-5024 (Online)