Transformation of economic model: Comparative analysis of intellectual, intelligent and smart economy in the context of digitalization

Author:

Shkarupeta E. V.1ORCID,Babkin A. V.1ORCID

Affiliation:

1. Pskov State University

Abstract

Aim. To identify the interrelationships that contribute to the effective integration and synergy of intellectual, intelligent and smart components in socio-economic formations.Objectives. To perform a semantic analysis of the process of intelligence; to describe the evolution of intellectual economy; to conceptually distinguish between intelligent, intellectual and smart economy; to identify interrelationships, similarities and differences between intellectual and digital economy through comparison.Methods. The study applied comparative-historical method, literature review, semantic and qualitative analysis.Results. The etymology of intelligence was studied, which allowed us to analyze the origin of the term and its historical dynamics. The key sources devoted to the development of intellectual economy were systematized and studied, focusing on the identification of the main stages of this process. The concepts of intelligent, intellectual and smart economy were clarified and differentiated. The key features of each concept are defined and their differences are identified. The intersection of intellectual and digital economy was considered, which contributed to a better understanding of their interaction and interrelation.Conclusions. The intelligent economy, based on the application of advanced technologies to optimize processes and decisions, emphasizes automation, predictive models, and real-time solutions. The knowledge- and intellect-intensive economy emphasizes the use of knowledge as a key resource, implying the availability of skilled human resources, intellectual property and scientific and technological capabilities. Smart economy focuses on integrating digital technologies and networked solutions into economic systems to achieve greater efficiency, sustainability and flexibility.

Publisher

Saint-Petersburg University of Management Technologies and Economics - UMTE

Subject

General Medicine

Reference25 articles.

1. Kleiner G.B. Mesoeconomics of Russia: Take-off strategy. Moscow: Nauchnaya biblioteka; 2022. 808 p. (In Russ.).

2. Kalenyuk I., Tsymbal L., Uninets I. Intelligent drivers of smart economy in the global ecosystem. Baltic Journal of Economic Studies. 2021;7(2):91-100. DOI: 10.30525/2256-0742/2021-7-2-91-100

3. Apostol D., Bălăceanu C., Constantinescu E.M. Smart-economy concept – facts and perspectives. In: European perspective of labor market – innovation, expertness, performance: Proc. Int. conf. Orlando, FL: Institute for Economic Forecasting; 2015. URL: https://ipe.ro/RePEc/WorkingPapers/wpconf141113.pdf (accessed on 28.10.2023).

4. Giffinger R., Fertner C., Kramar H. et al. Smart cities: Ranking of European medium-sized cities. Final report. Vienna: Centre of Regional Science, Vienna University of Technology; 2007. 28 p. URL: https://www.smart-cities.eu/download/smart_cities_final_report.pdf (accessed on 28.10.2023).

5. Tóth J., Esztergár-Kiss D. Smart city. Budapest: Akadémiai Kiadó; 2019. DOI: 10.1556/9789634542711

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