Adaptive model assessing the competitiveness of enterprises based on data financial statements Cover Image

Адаптивна модель оцінки конкурентоспроможності підприємства на основі даних фінансової звітності
Adaptive model assessing the competitiveness of enterprises based on data financial statements

Author(s): Olena Semenenko, Maria Ocheretna
Subject(s): Business Economy / Management, Methodology and research technology, Management and complex organizations, Accounting - Business Administration
Published by: Університет Григорія Сковороди в Переяславі
Keywords: competitiveness; financial management; integrated indicator;

Summary/Abstract: The subject of the work is to calculate the integral index of competitiveness of enterprises.The purpose of scientific problems is the justification of adaptive evaluation model of enterprise competitiveness based on data financial statements., practical application and analysis of the results for example, different sectors of the economy.The method or methodology of work: application of the methodology of economic and mathematical modeling, economic and financial analysis, methodology of mathematical statistics.The result of the work is algorithm assessing the competitiveness of enterprises based on the idea of measuring static and dynamic index of enterprise competitiveness, calculation of integral index based on data financial statements.Conclusions. Research the competitiveness of enterprises engaged famous Ukrainian and foreign scientists. They have developed a number of methods for assessing competitiveness, which have their advantages and disadvantages. The suggested methodology allows use of calculation based on data of annual financial statements AND NOT independent of fuzzy evaluation method. The results of model checking the adequacy and reliability confirms the quality of the algorithm. Comparative analysis has NOT confirmed significant differences between the results of applying this method and algorithms assess the competitiveness of enterprises of other.

  • Issue Year: 1/2015
  • Issue No: 24
  • Page Range: 60-72
  • Page Count: 13
  • Language: Ukrainian