Smart cities: knowledge generation effectiveness in the digital economy

E. Popov, W. Strielkowski, M. Vlasov
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Abstract

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.
智慧城市:数字经济中的知识生成效率
本研究的目的是通过确定新知识生成的有效性与其所基于的数字资源之间的关系,开发一套量化数字经济中知识生成有效性的工具。在研究中,确定了数字经济条件下智慧城市知识生成有效性与数字资源之间的关系。本文提出了“数字速度”的概念,作为定量评估数字经济中知识生成有效性的指标。本文得出的结论是,知识生成过程的制度建模的原则和思想可以用来构建成熟的模型,以预测数字经济条件下智慧城市的知识生成有效性。本研究的理论意义在于开发了一套量化数字经济中知识生成有效性的工具。该研究的实际意义在于为支持管理决策制定方向,旨在提高数字经济中知识生成的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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