Typology of smart city knowledge generation institutes

Acceleration of scientific and technical progress and the subsequent widespread use of digital technologies in management and development of social and economic systems have become the basis for a huge number of new theoretical concepts and trends of modeling and assessment of territory development trends. The concept of a smart city is believed to be the most sustainable trend of digitization of the relations in social and economic systems. The object of the study is to develop and substantiate the typology of smart city knowledge generation institutes using the revealed correlations between the results of new knowledge generation processes and digital resources in terms of the digital economy. The index “Digital speed of knowledge generation” has been used for quantitative assessment of the efficiency of the processes of new knowledge generation. The index characterizes the increase of knowledge generation efficiency with the growth of the use of digital resources by 1%. The methodological tool for quantitative assessment of the efficiency of the process of the new knowledge generation has been tested on the sampling for average and large manufacturing enterprises with more than 100 employees and that are located in Ekaterinburg during 2014-2018. During the research the factors for the digital economy development that effect the new product development institutes and new technology development institutes of a smart city have been revealed. We have empirically proved that such types of digital resources as personal computers and servers are significantly related to such types of new knowledge generation process results as new technologies and new products. And the use of the Internet and broadband access to the Internet in enterprises are not associated and do not influence the process of knowledge generation in industrial enterprises in smart cities. Using correlation analysis the institutes of new knowledge generation in smart cities have been divided into advanced efficient institutes, developing inefficient institutes, emerging inefficient institutes, and institutional trap. Geographical interpretation of the distribution of knowledge generation institutes has been suggested when using digital technologies in efficiency/sustainability coordinates. The research results have demonstrated that the use of the principles and ideas of institutional modeling of smart city knowledge generation processes allows everyone to form complete predictive models of using social and technological drivers of smart city development in the digital economy. Further development in the field of methodological support for the analysis of the effectiveness and efficiency of management of knowledge generation processes in the digital economy may be based on the method we have suggested to the assessment and classification of smart city institutes.