Suchergebnisse

Purpose
The purpose of this paper is to present the results of the recent Russian Science and Technology Foresight – a full-fledged study targeted at the identification of the most promising areas of science and technology (S&T) development in Russia towards 2030 to ensure the realisation of the nation's competitive advantages. It was organised as a complex project involving dozens of organizations performing particular tasks under the overall coordination by the National Research University Higher School of Economics (HSE) and more than 2,000 experts in various S&T fields.


Design/methodology/approach
Its methodology embraced a set of qualitative and quantitative methods and combined technology push and market pool approaches. For seven S&T areas (information and communication technologies, biotechnologies, medicine and health, new materials and nanotechnologies, rational use of nature, transportation and space systems, energy efficiency and energy saving), the following types of results have been obtained: global trends, national challenges and windows of opportunities; new markets and niches; innovation products and services; prospective technologies and R&D fields (50 thematic groups, over 1,000 items for all areas); assessment of the country's positions vis-à-vis global leaders; recommendations for S&T and innovation policies.


Findings
The paper covers prospective drivers of economic growth and relevant implications for anticipatory evidence-based policy; discussions of national challenges and building a common vision of the future among key stakeholders; the role of Foresight in particular as a communication platform that helps integrating stakeholder interests; strengthening existing and developing new capacities to increase national competitiveness; and to move up along existing and emerging global value chains.


Originality/value
The Russian S&T Foresight, being deeply integrated in the national policy, can be considered as an exemplar tool for "wiring up" the national innovation system (NIS) of an emerging economy with its specific features and problems facing large-scale challenges.

Purpose
Dynamic changes in the world bring challenges for making long-term future-oriented policy and strategy. A number of recent developments like drops in oil prices, increasing global conflicts, mass immigration and economic stagnation have had disruptive effects on long-term policies and strategies. The purpose of this paper is to provide a dynamic and adaptive Foresight approach as required by the fast-changing global landscape.


Design/methodology/approach
The scenario approach presented in the paper aims to develop multiple time horizons by bringing together short-term forecasts and long-term exploratory and visionary scenarios. Each time horizon allows for re-considering and dynamically changing drivers and assumptions of scenarios and thus builds not a single linear, but multiple and dynamic pathways into the future. Following the presentation on the background and description of the methodology, the paper illustrates the proposed approach with a case study on science and technology (S&T) development in Russia.


Findings
The flexible scenario approach allows developing and strategies with similar adaptability and flexibility.


Practical implications
The scenario approach presented in the paper may be applicable for Foresight exercises at all levels of governance, including national, international, regional and corporate.


Originality/value
A novel scenario approach is presented for the formulation of S&T policy with an illustrative case study.

Purpose
This study aims to assess future prospects for Russian energy exports until 2040, as global energy markets are undergoing major changes, with possible impacts on Russia.


Design/methodology/approach
Qualitative and quantitative approaches are integrated under a proposed foresight framework. The qualitative method involves an expert survey aimed at identifying major energy trends and their influence on Russia. As the trends are validated, an algorithm is proposed to assess the contribution of separate trends to Russian energy exports.


Findings
Experimental quantitative scenarios are conducted to assess the prospects for Russian energy exports until 2040 under the given exogenous scenario calculations of the IEA. Factor analysis allows for an assessment of the contribution of separate factors in dynamics of net energy imports into the regional economies. The future prospects for fossil fuels' exports on regional markets are considered. Priority markets for Russian energy exporters are identified.


Practical implications
The results of the paper may be used by decision-makers for adjustments in the system of government policy or corporate strategy.


Originality/value
The paper provides an algorithm to assess energy export flows to macroregions based upon the synthesis of quantitative and qualitative information. Experimental scenario calculations of the Russian fossil fuels' exports are provided. Strategic decision-making map is elaborated.

Purpose
This paper aims to describe and discuss the architecture of Russia's Technology Foresight System (TFS). This paper introduces the reader to the integration of the TFS into the public administration system and, specifically, into the national strategic planning system.


Design/methodology/approach
To do so, the authors fall back on more than 10 years of experience in performing foresight exercises for Russian policy makers of their institution.


Findings
Thereby, the paper highlights the implications arising from the interaction between sectoral and national components of TFS and on application of the results of foresight studies (implemented within the framework of TFS) for the strategic planning.


Originality/value
Russia has a long history of technological planning and forecasting and engages regularly in extensive foresight activities of both national and sectoral relevance. Also, Russia's leadership repeatedly stresses the importance of such foresight activities which are outlined by a national law since 2014.

Purpose
The purpose of this study is to create a methodological approach for identifying priority areas for science and technology (S&T) development and its empirical application within the city of Moscow. This research uncovers a wide range of multicultural and multidisciplinary global trends that will affect the development of major cities in an era of complexity and uncertainty, including the inherent complexity of urban contexts, demographic and socioeconomic trends, as well as scientific and ecological factors.


Design/methodology/approach
The methodological approach is based on classic foresight instruments. Its novelty lays in the blending of qualitative and quantitative methods specially selected as the most appropriate for the identification of S&T areas in an era of complexity and uncertainty, including horizon scanning, bibliometric analysis, expert surveys and the construction of composite indexes with respect to the scope and resources of the research and the selected object for empirical application – Moscow, which is one of the world's largest megacities. The analysis was performed for the period of 2009–2018 and expert procedures took place in 2019.


Findings
As a result, 25 global trends were identified, evaluated and discussed over the course of an expert survey and subsequent expert events. Ten priority areas of S&T development were determined, including 62 technological sub-areas within them and the most important market niches for all identified technological sub-areas, which could be useful for the world's megacities. The results of this study are illustrated using the construction sector. Based on the conducted research and results, a list of recommendations on S&T policy measures and instruments were suggested, including the creation of the Moscow Innovation Cluster, which by the end of 2023 contained more than 6,000 projects and initiatives, selected using the findings of this investigation.


Originality/value
This research contributes to the existing literature and research agenda of setting priorities for S&T development and shows how it can be done for a megacity. The blended foresight methodology that was created within the study satisfies the criteria of scientific originality, is repeatable for any interested researcher, is applicable to any other city in the world and demonstrates its high efficiency in empirical application. It could be used for creating new agenda items in S&T policy, setting S&T priorities for a megacity and integrating the results into decision-making processes. This study provides recommendations on the further implementation of the designed methodology and results into a policymaking system. Moreover, the example of the Moscow Innovation Cluster, which was created based on the results of our research, demonstrates these recommendations' practical significance in real life, which is quite valuable. The limitation of this study is that it is not devoted to urban planning issues directly or the promotion of R&D areas; it is about setting promising S&T priorities in an era of complexity and uncertainty for megacities.