Please use this identifier to cite or link to this item: http://cris.utm.md/handle/5014/1926
Title: Prospects for growth in labor productivity of construction personnel after the Covd pandemic 19
Other Titles: Перспективы роста производительности труда персонала строительных предприятий после пандемии Covd 19
Authors: STRATILA, Alina 
GUMENIUC, Ina 
Keywords: personnel of construction organizations;efficiency of labor use;forecast
Issue Date: 2022
Source: STRATILA A., GUMENIUC I., Prospects for staff productivity growth in construction companies after the pandemic Covid-19, The 4th Economic International Conference Competitiveness and sustainable development, Technical University of Moldova, 3rd - 4th November 2022, p.117-125, https://doi.org/10.52326/csd2022.20, ISBN 978-9975-45-872-6 (PDF)
Conference: Competitiveness and Sustainable Development
Abstract: 
The serious economic consequences of the COVD 19 pandemic are reflected in all activities of the national economy of the Republic of Moldova, including construction. In 2020, the activity of construction enterprises is characterized by a slowdown in the growth rate of sales revenues, a reduction in net profits, and a decrease in the average number of employees. Reaching the level of key economic indicators achieved by construction enterprises before the pandemic requires time and significant production stimulation. The key factor for the long-term development of enterprises is still the personnel and its productivity. The article assesses the use of personnel of construction enterprises for the period 2015-2020, including the period of restrictive measures during the first wave of COVD 19. Various quantitative and qualitative aspects of personnel use are considered: personnel mobility, personnel training, working conditions and remuneration, and labor productivity. A multifactor correlation model was elaborated, which allows for a comprehensive approach to the study of personnel productivity by including a wide range of economic indicators of personnel utilization in the regression equation. Measuring the degree of correlation between the effect of the time factor on the economic indicators included in the model allowed to reasonably forecast the expected level of labor productivity in the short term. The increase in labor productivity in 2022 can be 15% compared to the level of the indicator in 2020. The use of the obtained correlation model, covering comprehensively various aspects of the use of enterprise personnel, allows to simulate the desired level of labor productivity, which ensures the reduction of the recovery period of construction enterprises after the pandemic. The practical application of the model is recommended to the interested persons, managing construction enterprises.
URI: http://repository.utm.md/handle/5014/21790
http://cris.utm.md/handle/5014/1926
DOI: 10.52326/csd2022.20
Appears in Collections:Proceedings Papers

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