Matrix tools in management decisions justification to maintain sustainable business competitiveness
Abstract
The impact of digital transformational changes in the market environment on the transformation of business models of individual industrial enterprises, which inevitably leads to the system integrity disruption and thus pushes the scientific community to explore the issue of developing matrix tools in the rapid diagnostics format, has been studied. The purpose of the study is to develop a matrix toolkit based on rapid diagnostics in order to substantiate and optimize the functioning of the ensuring sustainable business competitiveness mechanism in the context of economy digital transformation. A matrix method has been developed in which the estimates parameters in a coordinate system form have been determined by theoretical approaches to the existence of a new phenomenon in the economic environment, such as sustainable business competitiveness. During the testing of this tool, it was possible to present the visual positioning of enterprise and determine its future development to maintain sustainable competitiveness in the context of economy digital transformation. Based on the generated quadrants, it is possible to study measures to change the influencing factor disturbances. There is a possibility of a survey from the perspective of substantiating the functioning of the ensuring sustainable business competitiveness mechanism in a particular position of an economic entity. When forming decisions and their content, it is necessary to consider a number of aspects such as the signs characterizing sustainable business competitiveness, the rapid diagnostics results based on the positioning matrix and the ensuring sustainable business competitiveness mechanism format, depending on the diagnostic condition of a business entity.
Fields of Study & Subjects
Business Strategies and Innovation
Digital Economy and Transformation
Sustainability and Innovation in Business
Publication details
- Journal / source
- Vestnik Universiteta
- Volume
- 1
- Issue
- 12
- Pages
- 161–175
- Publication date
- 7 February 2026
- Language
- EN