E3S Web Conf.
Volume 307, 2021International Interdisciplinary Scientific Conference “Digitalisation and Sustainability for Development Management: Economic, Social, and Ecological Aspects” 2021
|Number of page(s)||9|
|Section||Digitisation and Sustainability in Education System|
|Published online||22 September 2021|
Quality of education and socio-economic growth: The methods of Ishikawa, Deming and Pareto as tools for establishing cause-effect relationships
1 Department of Marketing, Academic and Scientific Institute for Business, Economics and Management, Sumy State University, Sumy, Ukraine
2 Department of Economic Cybernetics, Institute for Business, Economics and Management, Sumy State University, Sumy, Ukraine
3 Department of Finance and Entrepreneurship, Institute for Business, Economics and Management, Sumy State University, Sumy, Ukraine
4 Stanisław Staszic University of Applied Sciences in Piła, Department of Economics, Piła, Poland
* Corresponding author: firstname.lastname@example.org
The article is devoted to selecting the methods of finding the cause-effect relationships in simulating the system “quality education” and to determining the factors influencing the quality of education in the socioeconomic development of both the university and education stakeholders. The rationale for selecting the tools for studying cause-and-effect relationships in modelling the system is formulated. It is shown that for the system “quality of education” it is possible to use analysis tools that were previously inherent only in technical systems. An integrated approach to assessment using the Pareto method, Ishikawa method, cycle and Deming principles is proposed. Each stage of studying cause-and-effect relationships is considered; the relationship between the stages and the tools used is shown. The consistent application of these tools for the “quality of education” system has not yet been implemented, which determines the novelty of this work. As a result of implementing such a complex algorithm, the system approaches the external quality assessment in its optimal state with a clearly expressed optimization criterion and methods of achieving it.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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