Abstract
The purpose of this work is to analyze the information interaction between citizens and public authorities of St. Petersburg and to model the process of this interaction. The ontological models of information interaction are built in the work: 1. Interaction between public authorities of St. Petersburg; 2. The interaction of the “black box” model between the request of a resident and the position of the authority on his issue; 3 Interaction of a state civil servant of the executive authorities of St. Petersburg with the information systems required to resolve the request of a city resident and communication channels with them. As a result of the work, the authors come to the following conclusion: 1. The lack of electronic interaction with public authorities leads to a serious decrease in the effectiveness of interaction. 2. The existing systems of electronic interaction, despite the fact that they are high-quality and effective, are of a framework nature, and the absence of such systems at the institutional level is a serious shortcoming of the authorities. 3. The indirect losses of the lack of a unified system of work with citizens’ requests on the activities of government bodies only for the executive bodies of state power of St. Petersburg are estimated by the authors at more than 500 million rubles a year in 2020 prices. These results can become a rationale for further research and development aimed at improving public administration in St. Petersburg and in Russia as a whole, based on improving the efficiency of interaction between authorities, authorities with citizens, as well as intra-organizational interaction in authorities.
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Volodin, A., Sokolova, E., Degtereva, V.A., Ivanov, M. (2023). Problems of Information Interaction Between Public Authorities and the Population of St. Petersburg in the Context of the Digital Transformation of the Region. In: Ilin, I., Petrova, M.M., Kudryavtseva, T. (eds) Digital Transformation on Manufacturing, Infrastructure & Service. DTMIS 2022. Lecture Notes in Networks and Systems, vol 684. Springer, Cham. https://doi.org/10.1007/978-3-031-32719-3_5
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