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The Impact of Digitalization of the Economy on the Cooperation of Economic Entities in the Post-pandemic Period
Studies in Big Data ; 124:241-249, 2023.
Article Dans Anglais | Scopus | ID: covidwho-2321448
ABSTRACT
According to the authors, the digital transformation of the global economic system, which has affected all areas of business and sectors of the economy, has led to the formation of a new business model aimed at creating a single financial and economic space without borders, contributing to new forms of obtaining added value and "digital dividends” by combining various technologies (for example, cloud technologies, sensors, big data, 3D printing), as well as the development of markets for goods and services, labor reserves and capital through transformations at all social levels. The authors believe that all of the above opens up expanded opportunities for organizing and doing business and allows increasing the potential for creating radically new products, services and innovative business models focused on sustainable business development in the new conditions of digitization of the economic system. In this regard, the paper explores key approaches to the definition of the term "digital transformation of business.” The trends of business digitalization and, accordingly, the factors that are inhibitors and drivers of the development of a new business model of cooperation and cooperation of modern organizations were identified. In the process of analysis, the authors determined the vector of development of business models in the context of the digital transformation of the global economic system. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: Scopus Type d'étude: Études expérimentales langue: Anglais Revue: Studies in Big Data Année: 2023 Type de document: Article

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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: Scopus Type d'étude: Études expérimentales langue: Anglais Revue: Studies in Big Data Année: 2023 Type de document: Article