Methodological Tools for Analysis, Evaluation, Modeling and Prediction of Digital Transformation
Abstract
The world economy is actively implementing innovative activities, which is predicted in the future. Therefore, the importance of forecasting increases. In order to build a methodology for predicting innovative activity in the digital economy, an assessment of the current situation in various fields of activity was carried out. Digital tools have been identified that will be in demand for the development of innovative activities, in particular, the Internet of Things technology and the use of social networks to solve the problems of industrial enterprises. Development of innovative activity, in particular, the Internet of Things technology and the use of social networks to solve the problems of industrial enterprises. By investigating the potential synergies between Internet of Things (IoT) technology and the utilization of social networks and innovative activities, this study provides valuable insights for policymakers, researchers, industry practitioners, and stakeholders seeking to optimize their strategies in the digital economy era.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
About this article
Publication Date
30 September 2024
Article Doi
eBook ISBN
978-1-80296-966-5
Publisher
European Publisher
Volume
4
Print ISBN (optional)
-
Edition Number
1st Edition
Pages
1-1008
Subjects
sustainable development, ecology, economy, technologies, green technologies
Cite this article as:
Ilyasov, R. (2024). Methodological Tools for Analysis, Evaluation, Modeling and Prediction of Digital Transformation. In K. A. Said-Akhmadovich, & A. S. Salamova (Eds.), Modern Trends in Governance and Sustainable Development of Socio-economic Systems: From Regional Development to Global Economic Growth, vol 4. European Proceedings of Multidisciplinary Sciences (pp. 78-86). European Publisher. https://doi.org/10.15405/epms.2024.09.11