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Scientific Article details

Title The 'Smart city' concept and its implementors: On the way to the information control in Volgograd Russia
ID_Doc 36508
Authors Mitrofanova, IV; Ivanova, TB; Kleitman, EV; Mkrtchan, ER
Title The 'Smart city' concept and its implementors: On the way to the information control in Volgograd Russia
Year 2021
Published Regional Statistics, 11, 1
DOI 10.15196/RS110108
Abstract The importance of implementing digital technologies and creating "smart cities" that limit social contacts without causing significant damage to urban management has become evident during the COVID-19 pandemic. This research is based on results obtained from the inquiry of state and municipal servants of Volgograd region as the main implementors of the "smart city" concept. This region occupies middle positions in different regional ratings, that is why it can be considered as typical, taking into account its characteristics. The study is based on data gathered from processing enquiry results using the principle component method. It is based on a cluster sampling method covering workers from different state and municipal departments. Accordingly, the factors causing the current need for developing digital technologies in social management are determined. The findings reveal contradiction in goals achieved within 'smart city' development. It is concluded, by comparing our findings with earlier published data, that problems within the scope of improper city infrastructure and its improvement in social management transformation are common. These are caused by the state and municipal workers' limited competencies, namely insufficient digital skills, and the 'passive publicity' of the population. Therefore, the scope of functions of state and municipal servants must be changed to facilitate the transition to a 'smart city'.
Author Keywords smart city; Russia; principle component method; city management; citizen participation
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Emerging Sources Citation Index (ESCI)
EID WOS:000613906400007
WoS Category Geography
Research Area Geography
PDF https://doi.org/10.15196/rs110108
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