Digital Innovation Technologies in Public Governance: Budget Geolocation System

Kamolov, Sergey; Smagina, Aleksandra

doi:10.1007/978-3-030-47945-9_52

Cited by 4 publications

(4 citation statements)

References 5 publications

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“…In other words, according to the open innovation paradigm [12], the development of smart cities can be driven by combining knowledge generated and owned by projects partners with knowledge that originates elsewhere. In fact, on the one side, smart cities necessitate that governments and citizen provide the local knowledge to shape cities with respect to local resources, priorities, values, and needs [13]. Likewise, firms and universities working on smart city projects are asked to contribute with their technical and scientific knowhow to the development of smart cities [14].…”

Section: Methodsmentioning

confidence: 99%

Study of Smart Cities Based on Human Capital (Case of Russian Research-Driven Towns as Proto-Smart Cities)

Kamolova,

Kim,

Aleksandrov

2024

Upravlencheskie nauki

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Existent philosophical literature has been largely focusing on the ethical aspects and controversies of developing and using smart technologies such as AI and big data, whereas human capital and infrastructural environment as pre-existing factors have been covered by AI Ethics in a lesser extent. Most of the current research focuses on technical infrastructural aspects in the implementation of complex «smart projects», while insufficient attention is paid to the role of social capital. In order to widen the focus and to include human capital and infrastructural developments coming along with the increasing role of AI, the paper takes a novel look at philosophical underpinnings of smart cities and discusses the concept of the Russian Naukograd (literally from Russian – City of Science, or Researchers’ city, meaning a city which is developing as a community of scientists and academics) as a historical approach for smart city concept implementation. The authors apply theoretical methods of cognition (analysis, synthesis) as well as the case study approach to the Russian (Soviet) experience in forming research-driven cities in order to highlight the value of high scientific, industrial and educational capital («smart nation») as a fundamental factor for the stable long-term development of modern cities. The findings suggest that some concepts of the Russian Naukograd for example the focus on research and education are valuable and that investment in social capital (i. e., people) should stand on the same footing as investment in technology developing a smart city. In this approach the prefix «smart» may stand for «smart citizens/nations» as a pivotal framework at the initial stages of smart cities development.

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Section: Methodsmentioning

confidence: 99%

Study of Smart Cities Based on Human Capital (Case of Russian Research-Driven Towns as Proto-Smart Cities)

Kamolova,

Kim,

Aleksandrov

2024

Upravlencheskie nauki

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“…Recommender systems are information filtering systems designed to ease decision-making in domains and applications where there are many options to choose from Isinkaye et al (2015). This definition implies that recommender systems have a high potential for implementation in public governance, taking into account current trends in the personalization of public services, as well as ensuring uninterrupted interaction between the government and citizens in an online format (Kamolov and Smagina, 2020). The issue of recommender systems has been addressed by a number of scholars in various fields of science.…”

Section: Literature Reviewmentioning

confidence: 99%

Algorithmic modeling of public recommender systems: insights from selected cities

Kamolov

Aleksandrov²

2022

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Purpose In the context of digital public governance of the 21st century, recommender systems serve as a digital tool to support decision-making and shift toward proactive public services delivery. This paper aims to synthesize an algorithm for public recommender systems deployment coherent with the digital transformation of public services in three Russian regions: the City of Moscow, Moscow region and Astrakhan region. Design/methodology/approach The studied regions serve as an adequate representation of the country’s population coverage carrying, at the same time, diversity of public governance structures in qualitative and quantitative terms. Thus, the authors were able to retrieve both commonalities and particularities in locally applied policies to create an algorithm model for governance high-tech decision support systems (DSS) deployment in management terms. Therefore, the authors use structural and functional analysis to derive the matters for further induction into our algorithmic model. Findings The proposed algorithmic model is developed under the framework of automated verification of current public service delivery mechanisms. The practical application of recommendation systems as a special case of DSS is shown in the example of public service delivery. It is assumed that following the developed algorithm leads to the “digital maturity” of a particular sector of public governance. Originality/value The paper holds a novel look at public services digital transformation through the application of recommender systems, which is evidenced by the algorithmic model approbation on the theoretical level.

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“…As a result, until now there has been no consensus on the benefits, risks, and meanings of the concept of social capital (Wei et al, 2011). Some researchers believe that social capital and trust are the most important factors determining the long-term economic and social development of a country (Guiso et al, 2004;Kamolov & Smagina, 2020). Others urge a complete rejection of the concept, criticizing social capital as a constantly rewritten scientific category (Fine, 2010).…”

Section: Introductionmentioning

confidence: 99%

Social capital: approaches to definition and measurement

Faevskaya¹,

Valueva²

2022

Sustainable and Innovative Development in the Global Digital Age

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The article is devoted to the study of the wide range of problems associated with the absence of the unified approach to the definition of the concept of social capital. The research addresses the issue of a methodological approach development to define the role of social capital by creating a hierarchy including the concepts of social norm and social standard. The key categories of the concepts of social norm, social standard and social capital were established with the help of quantitative analysis. The authors conclude that the concept of social capital can be regarded as the highest evolutionary stage in the development of the social sphere of society. The article analyzes and systematizes the set of scientific works that explore the concept of social capital. Taking into account the results of the present study will allow specialists from various fields of science to use key categories of the concepts of social norm, social standard, social capital, identified by the authors, and will also allow to develop the concept of social capital with the help of hierarchically established relationships of this scientific category with other concepts.

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Digital Innovation Technologies in Public Governance: Budget Geolocation System

Cited by 4 publications

References 5 publications

Study of Smart Cities Based on Human Capital (Case of Russian Research-Driven Towns as Proto-Smart Cities)

Study of Smart Cities Based on Human Capital (Case of Russian Research-Driven Towns as Proto-Smart Cities)

Algorithmic modeling of public recommender systems: insights from selected cities

Social capital: approaches to definition and measurement

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