scholarly journals Modernization of Managing a “Smart City” on the Basis of Digital Platforms

2019 ◽  
Vol 71 ◽  
pp. 04017
Author(s):  
E.V. Pogorelova ◽  
T.B. Efimova ◽  
V.A. Haitbaev

The main challenges facing modern cities initiate review of approaches to management of city development. Combining of information systems and “smart” equipment used in various spheres of activity is analyzed. It causes digitization of social and economic processes which are not the optimal ones, and management mistakes are transferred to the sphere of digital transformation. In this research it is proposed to consider the development of digital platforms of a “smart city” according to systematic transformation of social and economic processes into the view optimal for management whilst taking into account psychological and cognitive characteristics of city dwellers. This issue may be solved by creating digital platforms of a new class which are based on neural management of knowledge and artificial intellect.

2020 ◽  
Vol 8 (8) ◽  
pp. 1422-1443
Author(s):  
E.V. Popov ◽  
K.A. Semyachkov

Subject. The article discusses the approaches to evaluating the evolution of smart cities. Objectives. We unfold methodological approaches to evaluating the evolution of smart cities. Methods. A system logic analysis is the main method of research. The theoretical underpinning comprises proceedings by foreign scholars, organizations and technological companies, which evaluate the urban digitalization, devise tools to study its impact on socio-economic and environmental properties of modern cities. Results. Having analyzed the existing approaches, we discovered three types of such methods. First, approaches examining some constituents of smart cities. Second, examining levels or phases of smart city development. Third, some specific aspects to study the development of smart cities. Sorting out the approaches, we propose our own approach that concurrently studies constituents of smart cities and their development phases. Thus, metrics of smart city development help evaluate some aspects of smart cities and the evolution of the processes. Conclusions and Relevance. To monitor the performance of projects and initiatives, smart city development metrics should be measurable and give a fair view of the digitalization processes in the urban environment, considering interests of all stakeholders.


2020 ◽  
Vol 11 (4) ◽  
pp. 431-454
Author(s):  
Shuling Zhou ◽  
Xi Zhang ◽  
Juan Liu ◽  
Kaihua Zhang ◽  
Yuqing Zhao

Purpose Smart cities show a “booming” trend both in the academia and the industry in recent years. Scholars across the world have been investigating how new technologies are applied to develop new services to the inhabitants and cities all over the world also address the “smart cities” challenges by promoting policymaking and governance. This paper aims to conduct in-depth research on smart cities by combining the study of governance policy study and information technology study. Design/methodology/approach This paper empirically mapped the trends of smart city development, outstanding scholars and hot topics about smart cities by analyzing important references using CiteSpace. The authors visualized references and topics to analyze smart city research, based on empirical data from Web of Science. Furthermore, two most important research branches – topics from smart city governance research and those from information systems (IS) research were studied, respectively. Findings First, the authors mapped the development of research and divided the development into three different stages. Second, the authors explored important, influential and instructive publications and publications’ attributes including authors, institutions, journals and topics. Third, the authors found there are different characteristics between the IS group and the governance group in publication situations, influential institutions, journals and authors, although the research points of the two branches are overlapping and fragmented. Finally, the authors proposed important topics, which include “internet of things (IoT)”, “big data”, “smart city systems” and “smart city management” and the authors predicted that “IoT” and “smart city challenge” would be future trends in recent years. Originality/value This study is an innovative research of its category because it visualized the development of smart city research, analyzed both governance and technology branches of smart city research synthetically using CiteSpace and forecasted future trends of smart city research by topics analysis and visualization of evolution.


2020 ◽  
Vol 89 (2-3) ◽  
pp. 68-77
Author(s):  
O. L. Yershova ◽  
L. I. Bazhan

The digital transformation problems of modern urban economy are considered. Their relevance for Ukrainian cities is caused by the fact that there are already a significant number of "smart cities" in the world, which are comfortable for their residents and for the management of urban services. The outlined problem for Ukraine is that a complex scenario of intellectualization and digital transformation of Ukrainian cities has not been formed yet. Unresolved problems and challenges that hinder the digital transformation of Ukrainian cities, namely the lack of municipal information networks, are described. Areas of further research are outlined, in particular, the statistical study of "smart cities", which is based on the collection and application of large data for this purpose, as well as the implementation of foreign experience in the Ukrainian realities of the economy. The digital transformation of cities is reviewed as a change of existing business models of urban services, the creation of smart mobility, smart resource consumption. An infographic unity of resources, services and management systems should be created in order to coordinate the actions of related structures and services in case of emergencies and unforeseen situations. This involves increasing technological literacy for different segments of the urban population. Three models of "smart cities" are proposed, the successful operation of each depends on investment, their rational management, as well as improving the level of digital skills of the population. The manufacturability of urban infrastructure should be based on megatrends in the field of information technology, namely: mobility, social communications, cloud technologies, big data and predictive analytics, machine learning and artificial intelligence, cybersecurity technology, the Internet of Things. These technologies are end-to-end for the whole set of technological solutions developed for "smart" cities. The scenario of development of "smart city" from the technological point of view is described; its basic components are: smart physical infrastructure; smart digital infrastructure; digital platforms; integrated digital platforms. The idea of building a digital duplicate, which is an accurate reflection of the real city in digital reality - the information comes to it from various sensors, monitoring systems and resource counters. The received experience of functioning can be translated into reality if it is successful, or to refuse it. All this is done at minimal cost, time savings and without harm to the real city. It is concluded that: information and communication technologies in the field of housing and communal services ensure the reliability and security of urban systems and resource efficiency; the formation of "smart cities" in Ukraine is limited by the lack of technical base for the creation of information technology platforms; a roadmap for the digital transformation of the national economy has not been developed.


2020 ◽  
Vol 8 (7) ◽  
pp. 143-157
Author(s):  
Evgeny Popov ◽  
Konstantin Semyachkov

The subject of the study is the development of smart cities, the effectiveness of the socio-economic systems of which is ensured by the introduction of advanced digital technologies. The research method is a logical system analysis of previous studies highlighting the development priorities of smart cities and attracting authors' results on institutional modeling of economic activity. The purpose of the study is to develop a system of sequential priorities for the development of smart cities based on institutional modeling of the stages of the formation of a digital society. As a result of the study, the author’s model of smart city development priorities is presented (the “7I” model), it is shown that the basis for the development of smart cities is the following stages: engineering infrastructure, institutes, communication and communication systems, data integration, user and technical systems interaction, innovations, application of innovation in the components of a smart city. It was determined that these stages of the development of smart cities are based on the use of advanced digital technologies and their applications: big data processing, the use of cloud technologies, digital platforms, blockchain technology, as well as shared economy, crowdsourcing, Internet of things, etc. It is concluded that the development of smart cities corresponds to the national interests of states in the formation of a digital society and ensures the safety of life in the context of the application of digital technologies.


2016 ◽  
Vol 11 (4) ◽  
pp. 359-370 ◽  
Author(s):  
Eliza Farelnik ◽  
Agnieszka Stanowicka

The objective of the study is characteristics of two development concepts of modern cities, i.e. smart city and slow city, and showing the possibilities of combining them in the proposed slow city model, drawing upon the assumptions of a smart city, which was determined as the smart slow city. Conclusions mainly rely on the performed reference literature studies (using the critical literature review method), which allowed for a synthetic presentation of the characteristics of the two discussed models of development, which are the basis for an independent description of the city model that unites these two approaches. The comparison of city development models was made on the basis of the following characteristics: the genesis of the city development idea, the rate of changes and the model of life related to it, key city development factors, the main objective of changes, key actors, activity areas, specialisation, scale of urban centres, city image, level of development policy, significance of cooperation, determinants or limitations in the implementation of the city development concept. Such an attempt of combining, by modern cities, of the potential offered by two development concepts (smart city and slow city), may contribute to the creation of an image of a modern city, the so-called smart slow city which, as a member of the Cittaslow network, considers the quality of residents' life as a priority, and uses modern technological solutions.


Author(s):  
V.A. Lakhno ◽  
◽  
V. P. Malyukov ◽  
R. K. Uskenbayeva ◽  
T. S. Kartbayev ◽  
...  

The article proposes a model for the computational core of the decision support system (DSS) in assessing the risks of investment loss during the dynamic planning (DP) of Smart City development. In contrast to the existing solutions, the proposed model provides specific recommendations when assessing the risks of loss. In case of an unsatisfactory risk forecast, it is possible to flexibly adjust the parameters of the investment process in order for the parties to achieve an acceptable financial result. The scientific novelty of the results is that for the first time it is proposed to apply a new class of bilinear multistep games. This class allowed us to adequately describe the process of assessing the risks of investment loss, using the example of dynamic planning for the placement of financial resources of players in Smart City projects. A distinctive feature of the considered approach is the use of tools based on the solution of a bilinear multistep game of both quality with several terminal surfaces, and a game of degree solved in the class of mixed strategies. Computational experiments were carried out in the Maple mathematical modeling package, and a DSS was developed in which a risk assessment model was implemented. The developed DSS allows to reduce the discrepancies between the data for predicting the risks of investment loss during the Smart City DP and the real return on investment.


2019 ◽  
Vol 1 (1) ◽  
pp. 344-352
Author(s):  
Yanita Chernogorova ◽  
Rozalina Dimova

AbstractThe evolution of digitization reaches a new stage with a focus on the overall transformation, where the so called “Intelligent Environment” such as “Smart City”, “Smart Campus“ is in the heart. Today’s institutions, which have not yet started the transformation towards a Smart Campus, are capable to exploit untapped ICT resources that could potentially lead to the optimization of the processes and services. In order to verify that a new service can be offered with the available ICT resources, a method of finding a subset satisfying some condition is used. The paper reports approach where elements of the main set include own resources and their functionalities, while needed resources to provide a new service build the subset elements. This work presents examples of developed e-services by using the open source Learning Management System (LMS) Moodle. The study demonstrates that Moodle and advanced ICTs are just as so an alternative for improving personal management and information systems in the means of e-services offering. The paper analyzes the results and evaluate the benefits from the digital transformation point of view. The conclusion summarizes features of the applications will contribute the way university interacts with students and staff.


2020 ◽  
pp. 37-55 ◽  
Author(s):  
A. E. Shastitko ◽  
O. A. Markova

Digital transformation has led to changes in business models of traditional players in the existing markets. What is more, new entrants and new markets appeared, in particular platforms and multisided markets. The emergence and rapid development of platforms are caused primarily by the existence of so called indirect network externalities. Regarding to this, a question arises of whether the existing instruments of competition law enforcement and market analysis are still relevant when analyzing markets with digital platforms? This paper aims at discussing advantages and disadvantages of using various tools to define markets with platforms. In particular, we define the features of the SSNIP test when being applyed to markets with platforms. Furthermore, we analyze adjustment in tests for platform market definition in terms of possible type I and type II errors. All in all, it turns out that to reduce the likelihood of type I and type II errors while applying market definition technique to markets with platforms one should consider the type of platform analyzed: transaction platforms without pass-through and non-transaction matching platforms should be tackled as players in a multisided market, whereas non-transaction platforms should be analyzed as players in several interrelated markets. However, if the platform is allowed to adjust prices, there emerges additional challenge that the regulator and companies may manipulate the results of SSNIP test by applying different models of competition.


2020 ◽  
Vol 26 (6) ◽  
pp. 629-642
Author(s):  
T. A. Gileva ◽  
A. V. Babkin ◽  
G. A. Gilev

The presented study analyzes the processes of creating ecosystems in the context of external challenges and increasing the level of competitive market environment and global digitalization of business to develop a strategy for the digital transformation of an enterprise.Aim. The study aims to assess the practicability of creating ecosystems when developing a strategy for the digital transformation of traditional (“defensive”) enterprises and to provide recommendations for their utilization.Tasks. The authors analyze the characteristics, features, and typology of business ecosystems; substantiate the need to analyze and use the capabilities of business ecosystems in the development of a strategy for corporate development in the digital environment; describe the essence, key aspects of development, and propose a modular structure for the strategy of the digital transformation of an enterprise; develop a conceptual framework for the strategic management of the digital transformation of an enterprise; formulate recommendations for selecting ecosystems that would enhance the enterprise’s competitiveness.Methods. This study uses general scientific methods of cognition in various aspects to propose approaches and a conceptual model of the corporate digital transformation strategy with allowance for the capabilities of business ecosystems.Results. The authors show that in the context of the developing digital economy, business ecosystems have become a new way to organize economic activity due to their high efficiency and rapid scaling. There are two major types of ecosystems: centralized (transaction) ecosystems in the form of digital platforms and adaptive (solution) ecosystems formed by the orchestrating company to create a new value proposition by joint efforts of partners from various industries through direct interaction with each other. The study identifies stages in the development of a digital transformation strategy based on enhancing the enterprise’s competitiveness through its participation in the ecosystem(s) and formulate recommendations for selecting ecosystems that would improve the efficiency of the enterprise.Conclusions. Ecosystem development is a business trend that determines the competitiveness of enterprises and improves the efficiency of their operation in the digital environment. Therefore, under modern conditions, an enterprise should develop its digital transformation strategy based on the creation and/or use of business ecosystems.


2021 ◽  
Vol 7 (3) ◽  
pp. 175
Author(s):  
Nobuyuki Fukawa ◽  
Yanzhi Zhang ◽  
Sunil Erevelles

Today, Industry 4.0 technologies, such as Big Data analytics and mobile technologies, are forcing firms to seek new ways to create and deliver customer value. We argue that the Android project, one of the most successful open-source digital platforms, reflects a new business model in the age of digital transformation. In the Android community, application developers create and sell applications for the Android operating system provided by the open-source firm (Google), and share the profit with Google. Such an open-source strategy forces the open-source firm to give up the profits from selling the operating system to customers. A firm generally chooses an open-source strategy to increase its user network size. Using the concept of creative intensity, or the speed of idea generation, we offer a new explanation regarding the benefits of an open-source strategy in the age of digital transformation. We investigate how to enhance creative intensity and profit on the open-source digital platform. Our model suggests that an open-source strategy effectively manages the diminishing value of ideas and, thus, facilitates the dynamic capability of an open-source firm.


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