Innovative Infrastructure Research Articles

Інфраструктура підтримки малого підприємництва в україні

The article reveals the essence of the infrastructure structure that supports small businesses as an environment and the conditions for producing goods/services. The classification of the infrastructure of the support system for small and medium-sized businesses has been given. The small business support infrastructure components have been singled out: financial and credit, organizational and legal, informational and consulting, production and technical, social and environmental. Attention has been focused on the peculiarities of the functioning of infrastructure facilities supporting small businesses (business centers, business incubators, innovative business incubators, scientific and technological centers, technology transfer centers, small business support funds, leasing funds, consulting centers, other enterprises, institutions, and organizations) depending on the level of their function (state, regional, local). An analysis of small business support infrastructure facilities as of the end of 2023 was carried out. It has been found that the extensiveness of the infrastructure created by the state is used as one of the criteria for assessing the level of state support for the development of small businesses. It has been proposed to evaluate the innovative infrastructure of small business support of a separate region, considering the Digital Transformation Index, which includes the following sub-indices: institutional capacity, access to the internet, development of the Administrative Service Centers (TsNAPs), implementation of the paperless regime, digital education, the business card of the region, penetration of basic e-services, sectoral digital transformation. Keywords: small business, support infrastructure, infrastructure facility, innovative infrastructure, digital transformation.

Generativity of enterprise IT infrastructure for digital innovation

PurposeDigital innovation requires organizations to reconfigure their information technology infrastructure (ITI) to cultivate creativity and implement fast experimentation. This research inquiries into ITI generativity, an emerging concept demoting a critical ITI capability for organizational digital innovation. More specifically, it conceptualizes ITI generativity across two dimensions—namely, systems and applications infrastructure (SAI) generativity and data analytics infrastructure (DAI) generativity—and examines their respective social and technical antecedents and their impact on digital innovation.Design/methodology/approachThis research formulates a theoretical model to investigate the social and technical antecedents along with innovation outcomes of ITI generativity. To test this model and its associated hypotheses, a survey was administered to IT professionals possessing knowledge of their organization's IT architecture and digital innovation performance. The dataset, comprising responses from 140 organizations, was analyzed using the partial least squares technique.FindingsResults reveal that both dimensions of ITI generativity contribute to digital innovation performance, with the effect of DAI generativity being more pronounced. In addition, SAI and DAI generativities are driven by social and technical factors within an organization. More specifically, SAI generativity is positively associated with the usage of a digital application services platform and IT human resources, whereas DAI generativity is positively linked to the usage of a data analytics services platform, data analytics services usability and data analytics human resources.Originality/valueThis research contributes to the literature on digital innovation by introducing ITI generativity as a crucial ITI capability and deciphering its role in digital innovation. It also offers useful insights and guidance for practitioners on how to build ITIs to achieve better digital innovation performance.

Hierarchical heterogeneities engineering towards sustainable high-performing alloys

High-performing alloys are the backbone of decarbonising innovations in manufacturing, infrastructure, energy, and transportation. There is an increasing demand for superb structural materials to tackle the significant economic, energy-efficient, and environmental issues. However, after decades of exploration, many engineering alloys seem to have approached their performance limits because the fundamental challenges lying in mutual exclusion among material properties, particularly in materials with homogeneous microstructures, are not readily surmounted. It is progressively realised that intentionally deploying structural or chemical heterogeneities into metals can produce noticeably improved global properties that are not attainable in traditional homogeneous materials. In this perspective, we briefly introduce the recent relevant progress and propose an innovative design concept of hierarchical heterogeneity engineering to develop sustainable high-performance alloys. This novel design strategy aims to enable an intelligent modulation and integration of the hierarchical chemical/structural heterogeneities with length scales spanning several orders of magnitude, breaking the existing ceilings of the attainable combinations of exceptional properties. Developing such a “do more, with less, for better and longer” design strategy would allow us to exploit most of the material potency to mitigate environmental burden and improve long-term sustainability.

Developing Theoretical and Methodological Provisions for Improving the Mechanism of Labour Efficiency

The article presents a theoretical generalisation and solution of a current scientific and applied problem which develops theoretical principles, methodological approaches and scientific and practical recommendations for improving the mechanism of labour efficiency management in terms of innovation-oriented development of enterprises. It is substantiated that in the conditions of innovation-oriented development of ecosystems, including enterprises, the disclosure of the essence of labour efficiency requires introduction of a dual quantitative–qualitative approach: on the one hand, labour efficiency reflects the ratio of the manufactured products (tangible and intangible benefits) and corresponding living labour costs (quantitative aspect) and, on the other hand, it is the result of using productive abilities of people, characterised by manufactured products of a particular consumer quality with the creation of added value (qualitative aspect). Conceptual bases of improvement of the mechanism of labour efficiency management at enterprises were developed. They are based on certain tasks, functions, principles, methods of labour efficiency management and the formed system of factors of influence and the revealed factors and reserves of an increase in labour efficiency. They presuppose development and realisation of the corresponding programme, which aims to: optimise total labour costs; improve quality of products at a constant mass and satisfaction with the work process of all its participants; ensure positive changes in material well-being and quality of life on the basis of the formation of modern innovation infrastructure of the enterprise.

Evaluating the nexus of funding and scientific output in Kazakhstan

This study examines the dynamics and effectiveness of investments in Kazakhstan’s research and development (R&D). The primary aim is to assess the efficiency of scientific research activities in Kazakhstan by analyzing the relationship between R&D investments and scientific outputs across different periods. As a methodological approach, Data Envelopment Analysis (DEA) calculates efficiency indicators by transforming multiple inputs into outputs. Descriptive analysis comprehensively explains trends and patterns in R&D funding, scientific publications, and patent registrations. The results reveal a substantial increase in R&D expenditure. Despite this, the share of domestic R&D expenditures from the gross domestic product (GDP) declined from 0.25% to 0.12%. The analysis also uncovered a significant surge in scientific publications, with Scopus publications increasing from 1,799 to 28,280 and Web of Science publications rising from 1,468 to 20,532 across the study period. However, a contrasting trend was observed in patent registrations, which decreased from 6,968 to 2,612, indicating potential inefficiencies in translating research into innovations. The study concludes that while Kazakhstan has demonstrated notable progress in enhancing research output, the decline in patent registrations relative to the increase in R&D investments underscores the need for strategic initiatives. These should strengthen industry-academia collaboration, enhance innovation infrastructure, and balance incentives for publications and patents, ensuring that R&D investments translate into tangible innovations and contribute effectively to the nation’s socio-economic development. Acknowledgment This research article has been supported bу the Ministry of Education and Science of the Republic of Kazakhstan within the project «Development of а model for evaluating the effectiveness of research activities of universities in Kazakhstan based on non-parametric and semi-parametric data analysis» (IRN AP13268842). А.I.Р. thanks the lnstitute of Solid-State Physics, University of Latvia. ISSP UL as the Center of Excellence is supported through the Framework Program for European universities, Union Horizon 2020, H2020-WIDESPREAD-01-2016-2017 TeamingPhase2, under Grant Agreement No. 739508, CAMART2 project.

Technology-based forecasting approach for recognizing trade-off between time-to-market reduction and devising a scheduling process in open innovation management

Due to rapid advances being made in computing technologies, open innovation methods are being used for better managerial forecasting and min-max efficient time for delivering final products to the marketplace. This requires that technology, time, human capital, efficient and sound production methods, and delivery are all high quality. This paper explores how ‘process development′ can connect all parties in managerial efficiency in time and cost to achieve targeted goals. Knowledge gaps concerning operations and technological forecasting of multiple development projects under open innovation infrastructure are filled in here. Overlapping consecutive tasks in the production process to reach the desired objective are described. The proposed model recognizes the trade-off between time-to-market reduction and devising a scheduling process that is minimized as much as possible, which demonstrates time to delivery effectiveness. The model serves to conduct an empirical study using Chinese data. We observe encouraging results in the modelling of operational excellence in technology development processes (lead time data) using Convex, Linear and Nonlinear models to achieve the goals. Overall, in open innovation, where collaboration spans boundaries and involves multiple stakeholders, effective overlapping scheduling isn't just about managing time; it's about orchestrating a harmonious collaboration that enables diverse groups to work cohesively towards a shared goal, and our paper contributes to providing a seminal toolkit and methodologies into it.

Urban living labs as innovation infrastructure for local urban intervention acceleration and student social learning: the impacts on community wellbeing in Heerlen.

Cities are championing urban experiments in order to address societal challenges and increased urban complexity. In fact, and following fellow researchers, urban experiments are used as a method in a broader trend in public policy to align urban planning with citizen needs by viewing cities as platforms for societal transformation that require, and should draw on, active involvement of residents. In this study, we demonstrate the impacts of placemaking and Urban Living Labs not only for healthy environments but also in facilitating transdisciplinary learning. Therefore, we elaborate on the Aurora transformation process in the neighborhood GMS in Heerlen-North as being one of the 16 Dutch neighborhoods that need extra attention to its socio-urban challenges due to the historical context and consequent local development. Hence, providing two main results for ULLs as infrastructure for innovation for community wellbeing. First, as an alternative spatial planning approach for urban contexts with extreme social-urban conditions that draw on the multitude of local values to generate and accelerate urban transformations going beyond the traditional impacts of urban transformations including public health equity, health outcomes, and addressing social-economic determinants of community wellbeing. Second, as an infrastructure for education innovation encompassing and operationalising social learning theory. Subsequently, it addresses societal issues in these neighborhoods, such as loneliness, social exclusion, or democratic decision-making more appropriately and enhances student, and urban stakeholder, learning through transdisciplinary collaboration among those involved and by connecting education, research methods and questions, and real-life socio-urban challenges. We conclude the article by emphasizing its novelty, providing a discussion, and enumerating implications for theory, practice, policy, and research.

Formation of innovative infrastructure in the context of project-oriented management of the oil and gas industry

Innovative infrastructure of oil and gas enterprises involves the use of modern technologies, systems, and approaches aimed at improving efficiency, safety, environmental sustainability, and competitiveness in the production and operation of oil and gas. This study investigates the creation of a project-oriented supervisory company in the oil and gas industry in the context of innovative development, which is relevant and promising. The key challenges faced by consulting firms in the oil and gas industry and possible strategic directions for their resolution, which will require supervisory firms to be more flexible, innovative, and strategic in their approaches, considering the specifics of the industry and the needs of clients were identified. The study also develops a tree of problems for the creation of a project-oriented supervisory company in the oil and gas industry and determines that this direction is sufficiently relevant and necessary for the formation of innovative infrastructure of oil and gas enterprises. It gives an assessment of the economic efficiency of creating a project-oriented supervisory company based on the analysis of both basic methods – payback period and return on investment. The study’s calculations confirm the feasibility of creating a project-oriented supervisory company as an innovative infrastructure that will support the development of oil and gas structures for both the country as a whole and individual enterprises.

ВЛИЯНИЕ ИННОВАЦИОННОЙ ИНФРАСТРУКТУРЫ НА РАЗВИТИЕ ПРЕДПРИНИМАТЕЛЬСТВА В РЫНОЧНОЙ ЭКОНОМИКЕ: РАЗВИТИЕ И ПЕРСПЕКТИВЫ

The article examines how innovation infrastructure influences the growth of entrepreneurship within the market economy. It is shown that the majority of entrepreneurial enterprises that adapted to the strict and complex conditions of the market economy were innovative enterprises that conducted marketing research and created internal functional groups or departments that prioritized logistic activity. It is noted that all these mechanisms of action cannot be enough to protect and maintain the competitiveness of enterprises for a long time under the circumstances of a market economy. It is shown that large industrial firms should give more preference to innovative activities in order to maintain their positions in the market for the long term, periodically increase their market share and shape their competitive strategic perspectives. It has been noted that for the successful execution of innovative projects in enterprises focused on innovation, it is essential to develop a robust innovation infrastructure. This infrastructure should ensure stable relationships and reliable system performance overall. At the same time, the article lists the main tasks of innovation infrastructures in large innovative entrepreneurial entities. At the end, necessary recommendations are given to eliminate the current deficiency.

КОЛИЧЕСТВЕННАЯ ОЦЕНКА ИННОВАЦИОННОЙ ИНФРАСТРУКТУРЫ РОССИИ

Over the past decade, the Russian government has reformed the national innovation system. However, there is still no research quantifying these changes. This study fills this gap by examining the devel-opment of Russia's innovative infrastructure using metrics from one of the leading innovators in the world – China. This research studies the innovation infrastructures of both countries, and the hypothesis is that there is a difference in the development of certain types of innovation infrastructure in Russia compared to China. The main methods of research are retrospective, structural, and comparative analyses. Data were collected from open sources such as Rosstat, the Global Innovation Index, World Bank, and the State Statistical Office of China. An overview the statistical indicators for Russia and China from 2010 to 2023 shows the level of development of six types of infrastructure: material, digital, scientific, educational, social, regulatory, and financial. The analysis showed that Russia lags behind China in terms of innovation infrastructure as a whole. From a structural point of view, there is also a differentiation in the development of certain types of infrastructure within Russia. The material, social, and digital infrastructures are the most developed, while the remaining elements are less developed compared to China. We believe that the main bottleneck in Rus-sian infrastructure is the lack of autonomy for innovation in private industry due to a lack of qualified scien-tists.

Diversification of the activities of enterprises of the militaryindustrial complex as a way to develop the territory of presence

Using the example of the state corporation Rosatom, the influence of diversification of defense industries on the development of the territories of presence is considered. It has been revealed that effective management of the diversification of the activities of defense enterprises is possible within the framework of holdings, in particular, state corporations. The spatially distributed structure of these corporations forms the need and features of their interaction with cities and regions where enterprises are located. At the same time, the activities of enterprises have an impact on the territory of their location in economic, social, and political terms. The processes of diversifying the activities of defense enterprises require the development of special personnel potential of territories, innovative infrastructure, improving the quality of life, etc. At the same time, territories also get the opportunity to use the resources of state corporations: lobbying, financial, scientific and technological, human resources, etc. for development. The paper shows theoretical approaches to building such interaction between territories and defense industry enterprises belonging to large holdings and testing these approaches on the example of the Rosatom state Corporation.

Identification and Ranking of Entrepreneurial Development Indicators with an Industrial Employment Approach for University Graduates Using Meta-Synthesis Approach

The primary objective of this article is to identify and rank the indicators of entrepreneurial development with an industrial employment approach for university graduates using the meta-synthesis approach. The statistical population of this research consists of experienced managers and experts in the field of entrepreneurial development in the industry, as well as entrepreneurship graduates. A purposive sampling method, which is a non-probability sampling method, was employed, and the perspectives of 16 industrial entrepreneurial development experts were utilized. To familiarize and gain insight into the entrepreneurial development model with an industrial employment approach for graduates of Islamic Azad University branches in Yazd province, as well as for better coordination and identification of research variables, interviews were conducted with several experts. This method yielded acceptable and influential results in identifying the components. Qualitative data content analysis was performed using the meta-synthesis method with the help of MAXQDA software to synthesize studies obtained from a systematic review centered around the topic of this research. To screen the identified indicators and select the main indicators, the fuzzy Delphi technique was used. The interpretive structural modeling (ISM) technique was employed to determine the appropriate activities for public companies, rank their importance, and identify relationships between the indicators. From the extracted indicators in related articles, after eliminating synonymous and frequently recurring indicators, and ultimately categorizing and grouping the final indicators, 12 categories and 64 codes were obtained. Furthermore, based on the frequency of codes, the highest repetition was attributed to the highest entropy. The innovation infrastructure in the field of information security had the highest entropy.

Determination of the optimal interval of the average load of the scientific equipment of the center for collective use

Modern Centers for the collective use of scientific equipment represent the basis for the formation of unique scientific competencies and competitive advantages in the market of research services. As highly specialized tools of scientific and innovative infrastructure, whose activities are aimed at implementing priority areas of scientific and technological development of the country, Centers funded, including from the state budget, face the need for a reliable assessment of the effectiveness of public funds investments, which leads to the formation of an objective need to improve the organization of work in this direction. The state regulator legislatively establishes requirements for monitoring the effectiveness of the use of expensive scientific equipment and a unique instrument base, however, the regulatory approach does not take into account the specifics of the functioning of the CCP regarding specialization, diversity of the instrument base, etc. This article discusses the problems of applying a standardized approach to evaluating the effectiveness of the centers for the collective use of scientific equipment and unique scientific installations. The general nature of the indicators included in the requirements for centers for the collective use of scientific equipment and unique scientific installations that have been created and (or) the functioning of which is provided with the involvement of budgetary funds does not reflect the differences between centers for collective use in terms of functioning, equipment composition, types of research and other essential characteristics. Attention is focused on one of the leading indicators, namely, the degree of loading. The authors believe that the averaging of requirements can lead to data distortion and neutralize the results of state monitoring, and suggest approaches to developing criteria for evaluating the optimal interval of the average load of scientific equipment of the center for collective use and justification of the appropriate time of such, depending on the type and purpose of use. The study was conducted on the example of the Center for Collective Use of St. Petersburg State University — St. Petersburg State University Science Park.

Human Capital and Performance of Kisii and Kakamega County Governments in Kenya

Decentralization in Kenya aimed to reduce bureaucratic delays and improve service delivery by transferring power to sub-national governments. Yet, governance challenges persist mainly due to unqualified staff, nepotism, cronyism, among others. The Kenya Institute for Public Policy Research and Analysis found 32% of county governments staff lack the required qualifications for their roles, leading to inefficiencies and service delivery gaps. Despite these concerns, no empirical research has explored the influence of human capital on the performance of Kisii and Kakamega county governments. This study addresses this gap by assessing the effect of human capital on performance of Kisii and Kakamega counties in Kenya. The study adopts a positivism research philosophy and a cross-sectional survey research design. The target population comprised of Chief officers, Directors and Assistant Director at various ministries, sub-county administrators and Members of County Assembly (N=325). To arrive at a statistically sound sample size, the study adopted the Yamane (1967) formula for sample size determination, which gives a sample size of 136 for Kakamega County and 92 for Kisii County (n=228). Given that the study is quantitative in nature, it adopts structured questionnaires in data collection, which were distributed using online platform (Google Forms). In data analysis, Stata version 17 was used to compute descriptive statistics (mean and standard deviation) and inferential statistics (Pearson correlation and univariate linear regression). Data was presented in prose form and visualized using tables and figures. Findings from the test of hypothesis using simple linear regression indicate that human capital has a statistically significant effect on performance (p<.05). Results revealed that human capital has a moderate positive association with performance, 𝑟 (191) =0.486, 𝑝<.05. It is recommended that the County Governments of Kisii and Kakamega should improve human capital by implementing performance contracting, eliminating political patronage, and investing in innovation infrastructure. Additionally, county governments should develop well-documented SOPs, ensure regular employee training, and embrace public participation to align policies with citizens’ needs.

Rethinking Enclosed Neighbourhoods: Vital Infrastructure for Design Innovation, Civic Engagement, and Biopower in Urban China

Rethinking Enclosed Neighbourhoods: Vital Infrastructure for Design Innovation, Civic Engagement, and Biopower in Urban China

Process management of heterogeneous services in a digital university based on modified GERT networks

The research is devoted to the issues of managing the processes of the information and computing environment in a digital university, which have a distributed, heterogeneous, probabilistic, poorly controlled nature. To improve the efficiency of managing the processes in a digital university, the authors of the research analyzed scientific papers in the field of the information technology infrastructure of organizational and economic systems and universities, formulated the basic principles of information technology infrastructure in a digital university within the conceptual framework of innovative infrastructure for modern organizations, developed a generalized scheme of IT services in a digital university, and elaborated a mathematical apparatus of modified GERT networks to control the processes of heterogeneous services in a digital university. The practical value of the research results is related to the development of new approaches to information management and processes of a modern organization based on the principles of consistency, complexity, and compliance with an appropriate balance between the distribution and integration of data flows. These developments can be replicated with certain modifications to a wide range of organizational and economic systems that are in the stage of digital transformation.

ВКЛАД ИННОВАЦИЙ И ЧЕЛОВЕЧЕСКОГО КАПИТАЛА В РОСТ РОССИЙСКОЙ ЭКОНОМИКИ

Russia, as one of the largest economies in the world, strives for sustainable and dynamic growth. To achieve this goal, it is necessary to actively develop innovations and invest in human capital. Innovations, playing a key role in the modern economy, make it possible to create new products, services and technologies that increase production efficiency and competitiveness of enterprises. Also, the introduction of innovations contributes to the growth of labor productivity, improvement of product quality and cost reduction. However, the successful development of innovations requires the availability of highly qualified specialists. Human capital, that is, the knowledge, skills and experience of employees, is one of the main resources determining the competitiveness of the economy. In Russia, there is a need to improve the level of education and professional training in order to ensure access to the latest technologies and innovations. For the development of innovation and human capital in Russia, it is necessary to create a favorable investment environment. This includes improving legal regulation, protecting intellectual property, reducing the bureaucratic burden and encouraging investment in research activities. It is also important to develop cooperation between government, business and scientific institutions for the exchange of knowledge and experience. One of the important tasks is the development of innovative infrastructure. This includes the creation of technology parks, innovation centers and accelerators that provide support and financing for startups and innovative projects. Such infrastructure facilities contribute to the development of entrepreneurship and attract investment in innovative projects. In addition, it is necessary to pay attention to the development of research activities. Public and private investments in science and research allow the creation of new knowledge and technologies that can then be commercialized. It is also important to develop cooperation between universities, research institutes and enterprises for the exchange of experience and the implementation of joint projects.

ДЕРЖАВНЕ РЕГУЛЮВАННЯ ТА ПІДТРИМКА ІННОВАЦІЙНОЇ ДІЯЛЬНОСТІ

State regulation of innovative activity is necessary and has many advantages that contribute to economic development, increasing the country's competitiveness and sustainable growth in the face of global challenges. Regulation of this sphere by the state plays a decisive role in creating favorable conditions for the development of innovative processes, their stimulation and effective use of the national scientific and technical potential. The state plays an important role in stimulating innovative activity. With the help of financial support, such as subsidies, grants or preferential loans, the state helps to reduce risks for investors, which, in turn, stimulates investment activity in this area. In addition, state regulation contributes to the creation of a favorable investment climate, the protection of intellectual property and the development of institutional infrastructure, which are necessary conditions for the successful development of innovations. Thus, government intervention is justified, as it allows overcoming market shortcomings and ensuring the necessary level of investment in innovation, which is of strategic importance for the development of the economy. State regulation of innovative activity creates conditions for the development of entrepreneurship and contributes to increasing the competitiveness of the economy. Thanks to the integration of various regulatory mechanisms, the state can effectively respond to modern challenges and ensure stable economic development. State regulation of innovations should be aimed at creating effective interaction between science, business and the state to stimulate innovative activities and their introduction into the economy. A comprehensive approach combining direct and indirect regulation is necessary for the continuous development of innovative enterprises and the use of the country's scientific potential. The state plays an important role in stimulating innovative activity by creating a favorable environment for the development of innovative infrastructure. This includes funding of scientific research, training of highly qualified personnel, protection of intellectual property and promotion of commercialization of scientific developments. Since direct funding has its limitations, the government is increasingly using indirect instruments, such as tax incentives and regulatory simplifications, to attract the private sector to innovation.

Developing a Conceptual Model for University 4.0 in the Digital Era

University 4.0 is a modern higher education model in association with the Fourth Industrial Revolution - Industry 4.0. The model aims to implement, not only two first missions of teaching and research, but mainly the third one of contributing to the local socio-economic development. This paper focusses on clarifying the core components and implementation conditions of University 4.0 model. Specifically, in the context of digital transformation, the main missions of University 4.0 consist in transferring knowledge, supporting and enhancing the innovation versus the professional world. So, the University 4.0 model should be focus on four core components, including: (i) competencies in education, R&D and innovation, (ii) new learning methods suitable to the digital era, (iii) information and communication technologies associated with the Industry 4.0, and (iv) innovative infrastructure to improve learning processes

ЛІЗИНГ ЯК ІНСТРУМЕНТ СТИМУЛЮВАННЯ ІННОВАЦІЙ: ПЕРСПЕКТИВИ ТА СТРАТЕГІЇ

Amid the spread of the global crisis and the shortage of financial resources, innovation is becoming one of the most important elements in ensuring survival and growth in the market. Therefore, leasing as one of the options for raising capital plays an important role in the innovative development of enterprises. The article considers the use of leasing as a tool for stimulating innovation in business and analyzes the impact of leasing relations on the development of enterprises and increasing their competitiveness. The research shows that today the leasing services market is characterized by a variety of leasing forms, models of leasing agreements and a diverse system of legal forms regulating the functioning of the leasing mechanism. The main stages of the leasing mechanism include: selection of the leased asset, selection of the lessor, conclusion of the lease agreement, payment of the lease fee under the agreement, use of the leased asset and termination of the lease agreement. The use of leasing has a positive impact on the operations of enterprises by reducing costs, improving productivity and product quality, accelerating the turnover of assets, and improving profitability. Due to the involvement of leasing companies in the process of innovation and their integration into the formation of innovative infrastructure, the issue of developing and expanding tools for the implementation of innovative leasing is important. Innovative leasing is distinguished by its uniqueness and high level of specialization of the equipment that is the object of leasing. We consider innovative leasing to be an effective and promising tool for technical modernization and innovation. Increasing the level of technological equipment in the leasing services market will help to expand the leasing portfolio, including attracting new types of assets. Considering innovative approaches to the provision of leasing services, in particular, the introduction of blockchain and other advanced technologies, it is obvious that such initiatives will have a significant positive impact on the competitiveness of leasing. The main advantage of innovative leasing is that it helps to respond more quickly to market changes and, if necessary, to quickly update the company's innovation strategies.