Year: 2026
Volume: 19
Issue: 3
Pages: 180
49
1951
Publication schedule
  • №4 August 2026
    Submission deadline: 8 June 2026
  • №5 October 2026
    Submission deadline: 7 September 2026
  • №6 December 2026
    Submission deadline: 5 November 2026

Assessing the maturity of artificial intelligence technology application in organizational management

Digital economy: theory and practice
  • 8
  • 211
  • Pages: 7-25

Impact of Industry 4.0 technologies on the production function of an enterprise: econometric assessment and scenarios analysis

Digital economy: theory and practice
  • 4
  • 166
  • Pages: 26-38

Performance management frameworks in commercial and smallholder farming (the case of Zimbabwe)

Regional and branch economy
  • 4
  • 170
  • Pages: 39-52

Employment, wages and social-labor indicators in Uzbekistan’s industry: a statistical assessment

Regional and branch economy
  • 1
  • 196
  • Pages: 53-67

Spatial asymmetry of Russian regions in the context of technological change

Regional and branch economy
  • 2
  • 183
  • Pages: 68-82

Assessment of the economic effects of structural changes in the manufacturing industry of Russia

Regional and branch economy
  • 4
  • 196
  • Pages: 83-99

The ESG concept in the sustainable development agenda: features and key research vectors

Economy and management of enterprise and complexes
  • 2
  • 158
  • Pages: 100-112

Operational model of labor productivity in the management of distributed engineering infrastructure

Economy and management of enterprise and complexes
  • 2
  • 177
  • Pages: 113-127

Assessing the quality of event data in digital traces of end-to-end organizational and management processes

Economic & mathematical methods and models
  • 3
  • 160
  • Pages: 128-147

A mathematical model of temporal dynamics in adaptive economic systems based on sheaf theory

Economic & mathematical methods and models
  • 1
  • 157
  • Pages: 148-163

Hybrid model for predicting the regional digitalization index in a turbulent economy

Economic & mathematical methods and models
  • 3
  • 177
  • Pages: 164-180