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Science and Education in Karakalpakstan. 2023 №2/1 ISSN 2181-9203



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Science and Education in Karakalpakstan. 2023 №2/1 ISSN 2181-9203 
109 
promotion tools 
sales 
4. Product competitiveness 
4.1. Product quality 
Describes the ability of the 
product to meet needs in 
accordance with its functions 
Comprehensive assessment 
method 
4.2. Product price 
As can be seen from the table above, the first group includes statistical indicators that 
characterize the efficiency of production process management: savings in production costs, 
efficiency in the use of fixed assets, improvement of product preparation technology, organization 
of labor in production. 
The second group combines indicators that reflect the efficiency of fixed assets 
management: the independence of the enterprise from external sources of financing, the ability of 
the enterprise to repay its debt, the possibility of sustainable development of the enterprise in the 
future. 
The third group includes indicators that allow you to get an idea of the effectiveness of 
product promotion and sales management on the market by means of advertising and sales 
promotion. The fourth group includes indicators of the competitiveness of the goods - the quality of 
the goods and its price. 
 
References: 
1.
Зулькарнаев И.У., Ильясова Л.Р. метод расчета интегральной конкурентоспособности 
промышленных, торговых и финансовых предприятий // Маркетинг в России и за рубежом. 2015. № 4 
(24). С. 17-27. 
2.
Ползунова Н.Н. Конкурентоспособность высокотехнологичных промышленных предприятий: 
теоретико-прикладные аспекты: монография. Владимир: Аркаим, 2017. 149 с
 
3.
Belykh, V.I.: Principles of Formation of the Competitiveness of the Automobile Transport Industries. 
Multidisciplinary Network Electronic Scientific Journal of the Kuban State Agrarian University. 2011. № 71. 
p. 414-424. 
4.
Lipovatz, D., Mandaraka, M., & Mourelatos, A. (2000). Multivariate analysis for the assessment of 
factors affecting industrial competitiveness: The case of Greek food and beverage industries. Applied 
Stochastic Models in Business and Industry, 16(2), p.85-98.

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