Smart cities: knowledge generation effectiveness in the digital economy
- 10.2991/iscde-19.2019.2How to use a DOI?
- knowledge management, institutional theory, modelling, innovation, typology, efficiency, forecasting, economic development
The aim of the present study is to develop a set of tools for quantifying the effectiveness of knowledge generation in the digital economy by identifying the relationship between the effectiveness of new knowledge generation and the digital resources on which it is based. In the study, the relationship between the knowledge generation effectiveness and the digital resources of a smart city under the conditions of the digital economy was identified. In the article, it was offered concepts of “digital speed” as an indicator for the quantitative assessment of the effectiveness of knowledge generation in the digital economy. In the article, the conclusion was drawn that the principles and ideas of institutional modelling of knowledge generation processes can be used to construct fully-fledged models for predicting knowledge generation effectiveness in smart cities under the conditions of the digital economy. The theoretical significance of the study consists in the development of a set of tools for quantifying the effectiveness of knowledge generation in the digital economy. The practical significance of the study comprises the development of directions for supporting management decisions aimed at increasing the efficiency of knowledge generation in the digital economy.
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Evgeny Popov AU - Wadim Strielkowski AU - Maxim Vlasov PY - 2019/12 DA - 2019/12 TI - Smart cities: knowledge generation effectiveness in the digital economy BT - Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019) PB - Atlantis Press SP - 670 EP - 676 SN - 2352-5428 UR - https://doi.org/10.2991/iscde-19.2019.2 DO - 10.2991/iscde-19.2019.2 ID - Popov2019/12 ER -