scispace - formally typeset
K

Karine A. Barmuta

Publications -  14
Citations -  159

Karine A. Barmuta is an academic researcher. The author has contributed to research in topics: Digital transformation & Digital economy. The author has an hindex of 6, co-authored 11 publications receiving 127 citations.

Papers
More filters
Journal Article

Innovation Clusters: Advantages and Disadvantages

TL;DR: The main direction of the current economic development is found in a transition of the most civilized countries to a new stage of creating an innovative society, i.e. building the economy based mainly on offering, spreading and using of knowledge.
Journal ArticleDOI

The System of the Methodological Principles of Management of Enterprise Development

TL;DR: In this article, the authors proposed conceptual methodological principles of formation of the system of management of development of the enterprise with the purpose of increase of efficiency of functioning and quality of production.
Journal ArticleDOI

Problems of business processes transformation in the context of building digital economy

TL;DR: The main difficulties for the restructuring of organizations' processes on a digital format are identified, as well as the formation of the theoretical and conceptual foundations of digital business transformation in the face of uncertainty and variability of the modern business environment.
Journal ArticleDOI

Features of the Modern System of Management of Development of Enterprises

TL;DR: In this article, the authors highlighted the assumptions of the new market-based management concept, identified the characteristics of new managerial paradigm inherent to Russian enterprises and adequate to the new economy and provided an improved process for the management of the enterprise to achieve its effective development.
Journal ArticleDOI

Mathematical model of optimizing the balance sheet structure of the Russian banking system with allowance for the foreign exchange risk levels

TL;DR: In this article, the authors developed a mathematical model for optimizing the asset and liability structure in Russian banks with allowance for the foreign exchange risk using a method of regression analysis, which can help optimize efficient allocation of resources and improve banking Foreign Exchange risk management policies.