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This paper aims to evaluate the relationship between external sources of knowledge and technological innovation and then analyze how technological innovation improves firm performance.

This study presents evidence based on a sample of 708 low-tech firms that participated in the National Survey of Innovation in the Manufacturing Industry and Knowledge-Intensive Service Firms (ENIIMSEC). A structural equation model approach was applied in this study.

There is a positive relationship between external sources of knowledge and technological innovation; technological innovation improves firm performance.

These results provide a deeper knowledge about how manufacturing firms in an emerging economy can apply open innovation practices to develop technological innovation, thus improving the firms' performance.

El artículo tiene por propósito evaluar la relación entre las fuentes externas de conocimiento y la innovación tecnológica, para luego analizar como esta mejora el desempeño de la empresa.

Este estudio presenta evidencia basado en una base de datos de 708 empresas de baja intensidad tecnológica que participaron en la Encuesta Nacional de Innovación en la Industria Manufacturera y Empresas de Servicios Intensivas en Conocimiento (ENIIMSEC) 2018. Se aplico el enfoque del modelo de ecuaciones estructurales.

Existe una relación positiva entre las fuentes externas de conocimiento y la innovación tecnológica, para que luego esta mejore el desempeño de la empresa.

Estos resultados proporcionan un conocimiento más profundo sobre como las empresas de manufactura de menor intensidad tecnológica pertenecientes a una economía emergente son capaces de aplicar las prácticas de la innovación abierta para desarrollar la innovación tecnológica, mejorando el desempeño de la empresa.

The purpose of this paper is to review policy or guidance on the implementation of Section 5(4) written by NHS mental health trusts in England and health boards in Wales.

A Freedom of Information request was submitted to all trusts in England (n=57) and health boards in Wales (n=7) asking them to provide a copy of any policy or guidance on the implementation of Section 5(4). Documents were analysed using content analysis. Specific attention was given to any deviations from the national Mental Health Act Codes of Practice.

In total, 41 (67.2 per cent) organisations had a policy on the implementation of Section 5(4). There was a high level of consistency between local guidance and the Mental Health Act Codes of Practice. There were however; different interpretations of the guidance and errors that could lead to misuse of the section. Some policies contained useful guidance that could be adopted by future versions of the national Codes of Practice.

The research has demonstrated the value of examining the relationship between national and local guidance. Further research should be undertaken on the frequency and reasons for any reuse of the section.

Greater attention should be given to considering the necessity of local policy, given the existence of national Codes of Practice.

This is the only research examining the policy framework for the implementation of Section 5(4).

This chapter’s goal is to determine the essence and causal connections of the emergence of conflicts at the level of economic systems (countries) due to technological inequality and to find the perspectives of overcoming these conflicts. The chapter models the economic and political conflict of modern time under the conditions of high-tech development based on the methods of variation analysis and regression analysis. It is proven that the scale of technological inequality in the world economy is very large. It is the economic and political conflict of modern time, the essence of which is as follows: the differentiation of economic systems amid digital development predetermines the opportunities for their entering the world markets. This chapter contributes to the development of the theory of economic and political conflicts, proving the existence of technological inequality as a new form of differentiation of economic systems amid digital development and defining this inequality as a new economic and political conflict of modern time. The chapter also contributes to the development of the theory of international trade, disproving – for the first time – the action of the principle of freedom of international trade. The authors describe technological barriers of the world markets, which limit the presence of countries that are behind the leading countries by digital development. Three key factors that determine the level of technological development of the economy are given: knowledge-intensive employment, venture investments and financing of innovations in business. Due to the above, the chapter provides opportunities for technological conflict management.

This chapter is aimed at reflecting technologies as the key resources of modern regions, identifying the essence and modelling the digital inequality of Russian regions, as well as forming the methodological foundation for the consistent resolution of conflicts in the regional economy of Russia. Through the example of the regional economy of modern Russia, the method of the variation analysis is used for the analysis of differences between regions that are individually investigated in relation to the level of digitalization, and their regression dependence on the level of technological development is determined. As a result, it has been found that Russian regions are characterized by a number of conflicts due to their multi-aspect inequality; these include innovation conflicts, investment conflicts and quality of life conflicts. The abovementioned conflicts are mainly caused by differences in the provision of technological resources to regions (in their digitalization). The novelty and fundamental significance of this chapter consist in the clarification of the cause of spatial inequality through differences in the provision of technological resources to regions. The unique character of this chapter consists in justification of the technology factor of the emergence of inequality and conflicts of regions. This chapter proves that technological inequality exacerbates other aspects of inequality and conflicts of regions. Originality and practical relevance of this chapter consist in the evaluation of the prospects and development of recommendations for conflict management in Russian regions through overcoming differences in their technological support and accelerating the pace of their digitalization.

The purpose of the article is to study the recent tendencies of growth of Russia’s agro-industrial complex (AIC), determine the optimal scenario of its development, and develop recommendations in the sphere of state regulation for its practical implementation. While there are tendencies of growing production and increase in Russia’s export, against this background, there is a tendency of quicker increase of import of food – if it continues, positive balance of foreign trade of food products in 2018 will turn into negative balance in 2020–2024. Though efficiency of crop farming is peculiar for a tendency of quick growth, efficiency of animal breeding is stable, which does not allow overcoming the growing deficit of food in Russia, which grows under the influence of the tendency of wear of fixed funds and slow implementation of new fixed funds due to insufficient financing. Scenarios of mid-term (i.e., until 2024) growth of Russia’s AIC are compiled, of which the most optimal is scenario that requires technological advancements, due to which increase in the value of index of food security up to 85.00 points (27%) will be achieved and the set goals of growth and development of Russia’s AIC will be reached. For a successful optimal scenario of the growth of Russia’s AIC, we offer recommendations in the sphere of state regulation of its digital modernization: adoption of the national strategy of transition to AIC 4.0 within the program “Digital economy of the RF,” development of import substitution in the AIC with emphasis on B2B markets, preparation of the technological platform for transition to AIC 4.0, and sufficient financing for digital modernization of the AIC.

This study aims to assess the technological capability of Chinese internet platforms (BAT: Baidu, Alibaba, Tencent) compared to US ones (GAFA: Google, Amazon, Facebook, Apple). More specifically, this study explores Baidu’s technological catching-up process with Google by analyzing their patent textual information.

The authors retrieved 26,383 Google patents and 6,695 Baidu patents from PATSTAT 2019 Spring version. The collected patent documents were vectorized using the Word2Vec model first, and then K-means clustering was applied to visualize the technological space of two firms. Finally, novel indicators were proposed to capture the technological catching-up process between Baidu and Google.

The results show that Baidu follows a trend of US rather than Chinese technology which suggests Baidu is aggressively seeking to catch up with US players in the process of its technological development. At the same time, the impact index of Baidu patents increases over time, reflecting its upgrading of technological competitiveness.

This study proposed a new method to analyze technology mapping and evolution based on patent text information. As both US and China are crucial players in the internet industry, it is vital for policymakers in third countries to understand the technological capacity and competitiveness of both countries to develop strategic partnerships effectively.

Purpose: This chapter aims to address the problem and explore the process of creating the new ‘markets of tomorrow’ from the perspective of the technological inequalities arising in this context and leading to conflicts in international trade, thus prompting the creation of promising areas of conflict management.

Design/methodology/approach: The study is carried out using the comparative analysis methods through the review of analytical data, as well as using the qualitative structural and logical analysis method.

Findings: This chapter reviews the factors that determine the benefits and limits of participating in the creation of the new ‘markets of tomorrow’ in some of the world’s countries. Prospects and recommendations are identified to prevent or partially mitigate the technological inequalities constituting a barrier to the creation of new ‘markets of tomorrow’, provoking conflict in international trade and promoting the development of promising areas of conflict management.

Originality/value: The results of the study generally supported the assumption that recovery from the economic downturn associated with the COVID-19 pandemic requires a comprehensive and sustained economic transformation capable of delivering economic growth that would contribute to the broader social and environmental goals to be achieved over the coming decade. Implementing such a transformation will require the active creation of ‘markets of tomorrow’ through a creative combination of disruptive technological and socio-institutional innovations. The aim is not only to produce more or in a better way but also to transform economies by creating new technological and institutional systems that can address some of today’s most pressing social problems, in particular to mitigate technological inequalities and prevent conflicts from developing.

Introduction: Today the ability of nations to develop and implement innovations is core for their international competitiveness. Ukraine is striving for innovation progress; however, its innovation performance is relatively low. The research problem is to find the bottlenecks, affecting Ukraine’s innovation capability.

Purpose: This study aims to research the national innovation capability profiles, based on cluster analysis, to develop an understanding of drivers and threats for the innovation capability of Ukraine.

Need of the study: The knowledge-based economy, which had already turned into one of the most efficient developmental models of the 21st century, became a key driver of international competitiveness for the leading developed countries due to their progressive structural shifts towards the growth of high-technology manufacturing and knowledge-intensive sectors. These trends are significant to capture for the sake of increasing the innovation capability of the economy of Ukraine.

Methodology: The study is based on the K-means clustering method, which is employed for identifying 10 country clusters based on the indicators of their R&D and innovation activities, which allowed us to assess the innovation capability of Ukraine in comparison with 140 countries of the world. Data selection and normalisation were based on the 2019 Global Competitiveness Report indicators.

Findings: The study showed that Ukraine’s innovation capability problems are typical for most developing countries and are prevalently connected to low R&D expenditures, patent applications, and international co-invention activities. Most countries, except for the technologically developed ones, follow the so-called ‘passive technological learning’ strategies, which usually result in low economic productivity.

Practical implications: Several innovation policy implications have been developed for the government of Ukraine based on the cluster analysis results and accounting for the problems of the national innovation system (NIS).

In this study, the authors use a country-level database covering 63 economies over the period 2014–2019 and employ a wide range of proxies to discuss new technological trends in finance, particularly in the banking sector. The authors also distinguish alternative technology-based business models that directly compete with banks [financial technology (fintech) and giant technology (bigtech) credit providers]. The results suggest that banks’ increased focus on technological innovation, as measured by market value and number of patents, is a possible response to the emerging technology-based nonbank competition, particularly from fintech and bigtech firms. Additionally, the results indicate that the emergence of financial innovation contributes negatively to the average value of bank patent, indicating significant competitive pressure on banks in the technological race. Thus, banks are countering the challenge of fintech and bigtech competition in the financial market by increasing their technology projects and patenting activities. These trends are crucial and may change the stability and sustainability perspectives of banks.

In this chapter, we propose a theoretical assessment of the relationship between unions and investments. We develop a simple model where a firm chooses its investment level anticipating the employee's effort choice and the outcome of wage bargaining. First, and consistently with the holdup view, we find that the union's bargaining power has a negative effect on the accumulation of fixed capital. Second, we show that this negative effect is mitigated by the voice ability of unions to ease the displeasure of exerting effort. Hence, when the voice ability of unions is strong vis-à-vis their bargaining power, the holdup view does not necessarily survive, and unionized firms invest more than their nonunionized competitors.