The modified smart city concept for Russian municipalities in the context of change management
Abstract
Relevance. Outdated tools and instruments for development and governance prevent the effective use of data and digital platforms in Russian cities, thus creating obstacles for the implementation of smart new solutions. Moreover, the established system of smart city evaluation is 'overloaded' with indicators. For these reasons, the smart city concept is inadequate for today's reality of most Russian municipalities, making it difficult for them to meet the national goals for the digitalization of the country's economy. The relevance of this study is determined by the need to adjust the smart city concept for municipal economy in Russia and to propose a modified version of this concept.
Research objective. This study aims at creating a modified smart city concept by changing evaluation criteria and using a simulation model of municipal economy.
Results. The study found that the established smart city concept is not entirely suitable for implementation in Russian municipalities. The lack of adequate methodology of smart city evaluation impedes efficient economic development of municipalities.
Data and methods. The study applies a simulation model of municipal economy, which is built by using simulation modelling methods and the Bass diffusion model.
Conclusions. The proposed modifications of the smart city concept can provide a springboard for economic development of Russian municipalities to achieve the goals of national digital strategies.
Keywords
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Anthopoulos, L., Janssen, M., Weerakkody, V. (2016). A unified Smart City model (USCM) for Smart City conceptualization and benchmarking. International Journal of Electronic Government Research, 2, 77–93. doi:10.4018/IJEGR.2016040105.
Barriga, J.K.D., Romero, C.D.G., Molano, J.I.R. (2016). Proposal of a standard architecture of IOT for Smart Cities. Communications in Computer and Information Science, 620, 77–89. doi: 10.1007/978-3-319-42147-6_7.
Cao, X. –H., Wang, F.–Z. (2011). Research on e-commerce platform and modern logistics man-agement system based on knowledge management platform. Applied Mechanics and Materials, 50–51, 145–149. doi: 10.4028/www.scientific.net/AMM.50-51.145.
Chan, C.S., Peters, M., Pikkemaat, B. (2019). Investigating visitors’ perception of Smart City di-mensions for city branding in Hong Kong. International Journal of Tourism Cities, 4, 620–638. doi: 10.1108/IJTC-07-2019-0101 .
De Domenico, M., Arenas, A., Lima, A., González, M.C. (2015). Personalized routing for multitudes in Smart cities. EPJ Data Science, 1, 1–11. doi: 10.1140/epjds/s13688-015-0038-0.
Glebova, I.S., Yasnitskaya, Y.S., Maklakova, N.V. (2014). Possibilities of "Smart city" concept im-plementing: Russia’s cities practice. Mediterranean J. of Social Sciences, 12, 129–133.
Habib, A., Prybutok, V.R., Alsmadi, D. (2020). Factors that determine residents’ acceptance of Smart City technologies. Behaviour and Information Technology, 6, 610–623. doi: 10.1080/0144929X.2019.1693629.
Hämäläinen, M. (2020). A framework for a Smart City design: digital transformation in the Helsinki Smart City. Contributions to Management Science, 63–86. doi: 10.1007/978-3-030-23604-5_5.
Horejsi, P., Novikov, K., Simon, M. (2020). A smart factory in a Smart City: virtual and augmented reality in a Smart assembly line. IEEE Access, 8, 94330–94340. doi: 10.1109/ACCESS.2020.2994650.
Ishkineeva, G., Ishkineeva, F., Akhmetova, S. (2015). Major approaches towards understanding smart cities concept. Asian Social Science, 5, 70–73. doi: 10.5539/ass.v11n5p70.
Junior, S., Silvestre, B., Oliveira-Jr, A., Borges, V., Riker, A., Moreira, W. (2020). Dynasti–dynamic multiple RPL instances for multiple IOT applications in Smart City. Sensors, 11, 3130. doi: 10.3390/s20113130.
Khatoun, R., Zeadally, S. (2016). Smart cities: concepts, architectures, research, opportunities. As-sociation for Computing Machinery. Communications of the ACM, 8, 46–57. doi: 10.1007/978-3-319-23440-3_7.
Komarevtseva, O.O. (2017). Simulation of data for determining the readiness of municipalities to implement smart city technologies. In: CEUR Workshop Proceedings, Moscow, 129–135. doi: 10.1155/2014/867593.
Medvedev, A., Fedchenkov, P., Zaslavsky, A., Anagnostopoulos, T., Khoruzhnikov, S. (2015). Waste management as an IOT-Enabled service in smart cities. Lecture Notes in Computer Science, 9247, 104–115. doi: 10.1007/978-3-319-23126-6_10.
Merlino, G., Bruneo, D., Longo, F., Puliafito, A., Distefano, S. (2015) Software defined cities: a novel paradigm for smart cities through IOT clouds. 12th IEEE Int. Conf. on Ubiquitous Intelligence and Computing, 909–916.
Min, W., Bao, B.-K., Xu, C., Hossain, M.S. (2015). Cross-platform multi-modal topic modelling for personalized inter-planform recommendation. IEEE Transactions on Multimedia, 17, 1787–1801. doi: 10.1007/s11042-016-4039-1.
Scornavacca, E., Paolone, F., Martiniello, L., Za, S. (2020). Investigating the Entrepreneurial per-spective in Smart City studies, 16, 1197-1223. The International Entrepreneurship and Management Jour-nal. doi: 10.1007/s11365-019-00630-4.
Svítek, M., Skobelev, P.O., Kozhevnikov, S. (2020). Smart City 5.0 as an urban ecosystem of Smart services. Studies in Computational Intelligence, 853, 426–438. doi: 10.1007/978-3-030-27477-1_33.
Tan, S.Y., Taeihagh, A. (2020). Smart City governance in developing countries: a systematic litera-ture review. Sustainability, 3, 899. doi: 10.3390/su12030899.
Zhuhadar, L., Thrasher, E., Marklin, S., de Pablos P.O. (2017). The next wave of innovation – re-view of smart cities intelligent operation systems. Computers in Human Behavior, 66, 273–281. doi:10.1016/j.chb.2016.09.030
DOI: https://doi.org/10.15826/recon.2020.6.4.026
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