Purpose: A neo-institutional methodology defines the entrepreneurial environment for SMEs as a multidimensional set of interacting formal/informal institutions influencing regional economic growth. Acknowledging the multidimensional nature of SME growth, this study tests an approach to measure SME institutional environment quality through the identification of regional-level determinants.Design/methodology/approach: The method used in this paper is based on Brunset al.’s (2017) model and is tested on 81 Russian Federation regions. The approach seeks to determine variation in entrepreneurial ecosystems based on quality and estimated marginal effects of difference across geographical regions.Findings: The most severe obstacle to SME development in Russia is its shadow economy and corruption. Access to finance, high transportation fees, and instability in the political and economic field ranks second and third, respectively. Results suggest governments should eliminate main obstacles at country-level, which hampers the SME sector's development. While this is noted for this case looking at Russia, this is a common argument found in SME research.Practical implications: Findings from this study are useful in managerial practice, aimed at increasing innovative development and increasing the competitiveness of Russian SMEs. A neo-institutional approach is one of the theoretical strands with the emphasis on enhanced understanding of organizational behavior and social capital, including cultural norms and beliefs.Originality/value: Utilizing an extended empirical approach to assess the institutional environment for SMEs addresses a research gap – offering novel insight on SME growth useful for policy makers. The results can inform managerial practices to increase SME contribution to economic growth.

Nowadays, the relevance of technology transfer center network has been greatly increased due to interdisciplinary modern innovations, and cross-sectoral collaboration in project implementation. This paper highlights theoretical and conceptual foundations of technology transfer, and the role of innovation and knowledge. The main purpose of the paper is to analyze the experience of creating technology transfer networks in Russia, and to develop prospective national technology transfer model based on the concept of innovation ecosystem and open innovation. Being a knowledge integrator, a university plays a vital role in technology transfer. The presented study makes contribution to the academic literature by providing a synthesis on related concepts of open innovation, network, and ecosystem approaches to technology transfer. The results of this analysis provide information on prospective models for creating a network of technology transfer in Russia. That will help academics, policymakers, government, and business owners with a more depth understanding of the practical mechanisms that support innovation strategy.

Nowadays, the designing of cyber-physical systems has a significant role and plays a substantial part in developing a sustainable computing ecosystem for secure and scalable network architecture. The introduction of Cyber Threat Intelligence (CTI) has emerged as a new security system to mitigate existing cyber terrorism for advanced applications. CTI demands a lot of requirements at every step. In particular, data collection is a critical source of information for analysis and sharing; it is highly dependent on the reliability of the data. Although many feeds provide information on threats recently, it is essential to collect reliable data, as the data may be of unknown origin and provide information on unverified threats. Additionally, effective resource management needs to be put in place due to the large volume and diversity of the data. In this paper, we propose a blockchain-based cyber threat intelligence system architecture for sustainable computing in order to address issues such as reliability, privacy, scalability, and sustainability. The proposed system model can cooperate with multiple feeds that collect CTI data, create a reliable dataset, reduce network load, and measure organizations’ contributions to motivate participation. To assess the proposed model’s effectiveness, we perform the experimental analysis, taking into account various measures, including reliability, privacy, scalability, and sustainability. Experimental results of evaluation using the IP of 10 open source intelligence (OSINT) CTI feeds show that the proposed model saves about 15% of storage space compared to total network resources in a limited test environment.

The aim of this paper is to address the gap in the academic literature towards the development of methodological approaches to the industrial ecosystem potential assessment. This study is focused on the industrial ecosystems formed on the basis of a symbiotic model and implementing the principles of circularity. The article systematizes the problem of using circular and ecosystem approaches in industrial development. A contribution to the literature was achieved by providing a systemic perspective on the sustainable industrial process. In this paper, we develop the methodological foundations to improve the understanding of circular and integration processes’ influence on the industrial ecosystem potential. For a relevant analysis of industrial ecosystem potential, the existing patterns of system functioning were taken into account, including entropy equilibrium and Harrington model. We illustrate our assumptions with an empirical case study of two different industrial ecosystems, Kalundborg Symbiosis and Baltic Industrial Symbiosis, with an assessment of their circular and integration potentials. The results highlight that the potential of Kalundborg Symbiosis in the field of circularity is realized quite productively, but not in full. The holistic knowledge of circularity process provides new information that supports academics, policymakers, government, and individuals with a more appropriate understanding of the conditions that help to eliminate the environmental problems faced in society, helping to achieve the country’s sustainable development goals.

Despite of tourism infrastructure and software, the development of tourism is hampered due to the lack of information support, which encapsulates various aspects of travel implementation. This paper highlights a demand for integrating various approaches and methods to develop a universal tourism information recommender system when building individual tourist routes. The study objective is proposing a concept of a universal information recommender system for building a personalized tourist route. The developed design concept for such a system involves a procedure for data collection and preparation for tourism product synthesis; a methodology for tourism product formation according to user preferences; the main stages of this methodology implementation. To collect and store information from real travelers, this paper proposes to use elements of blockchain technology in order to ensure information security. A model that specifies the key elements of a tourist route planning process is presented. This article can serve as a reference and knowledge base for digital business system analysts, system designers, and digital tourism business implementers for better digital business system design and implementation in the tourism sector.

At present, issues of ecosystem self-organization and the mechanisms for their sustainable development have been insufficiently explored in academic literature. The key idea of our research is that for enterprises interacting in different industries based on a network partnership, a special tool is needed to ensure the openness of interaction between participants in the transfer of knowledge, technology, information, and resources. The authors argue that the development and practical implementation of a cross-sectoral digital ecosystem platform will allow for the synchronizing of the scientific and technological progress of several industries, making the most effective use of the synergistic effect from the interaction of ecosystem actors and ensuring the transparency and openness of the ongoing processes therein. The authors demonstrate their propositions with the example of unmanned aircraft system (UAS) industry. The proposed model and mechanism of cross-sectoral interaction can be replicated in different technological niches, such as robotics, neurotechnology, quantum technologies, etc. The conclusions arising from the conducted research provide scientists, government bodies, and decision-makers with the necessary information for a better understanding of practical mechanisms and tools that allow for the implementation of self-organization and sustainable development in modern innovation ecosystems.