scholarly journals Responsible research and innovation in Europe: A cross-country comparative analysis

2018 ◽  
Vol 46 (2) ◽  
pp. 198-209 ◽  
Author(s):  
Niels Mejlgaard ◽  
Carter Bloch ◽  
Emil Bargmann Madsen
Keyword(s):  
European Union ◽  
Cluster Analysis ◽  
Factor Analysis ◽  
Union Member ◽  
Responsible Research And Innovation ◽  
Research And Innovation ◽  
International Learning ◽  
Cross Country ◽  
European Union Member States ◽  
Responsible Research

Abstract The objective of this article is to contribute to the emerging attempts to foster empirical, quantitative approaches to Responsible Research and Innovation (RRI), and to provide a low-resolution map of the European RRI landscape, which can serve as a vehicle for international learning. The article presents indicators of RRI aimed at characterising countries. It examines the empirical structure of the data collected in the ‘Monitoring the evolution and benefits of Responsible Research and Innovation’ (MoRRI) project and reports patterns across Europe. Factor analysis is applied to identify 11 empirically-anchored dimensions of RRI. Based on indices for these dimensions, cluster analysis reveals four distinct clusters of countries. These results point to diversity regarding the empirically-manifest components of RRI as well as diversity in the RRI profiles of the 28 European Union Member States.

scholarly journals A Cross-Country Measurement of the EU Bioeconomy: An Input–Output Approach

2021 ◽  
Vol 13 (6) ◽  
pp. 3033
Author(s):  
Kutay Cingiz ◽  
Hugo Gonzalez-Hermoso ◽  
Wim Heijman ◽  
Justus H. H. Wesseler
Keyword(s):  
European Union ◽  
Financial Crisis ◽  
Union Member ◽  
National Income ◽  
Value Added ◽  
Input Output ◽  
Income Share ◽  
Cross Country ◽  
European Union Member States ◽  
The Eu

This paper measures the development of the national income share of the bioeconomy for 28 European Union Member States (MS) and 16 industries of BioMonitor scope from 2005 to 2015. The paper proposes a model which includes the up- and downstream linkages using Input-Output tables. The results show that for the majority of the MS the value added of the up- and downstream sector is at the band of 40%–50% of the total bioeconomy value added and has on average increased since the financial crisis.

scholarly journals Towards regional responsible research and innovation? Integrating RRI and RIS3 in European innovation policy

2019 ◽  
Vol 46 (5) ◽  
pp. 772-783 ◽  
Author(s):  
Rune Dahl Fitjar ◽  
Paul Benneworth ◽  
Bjørn Terje Asheim
Keyword(s):  
European Union ◽  
Innovation Policy ◽  
Innovation Process ◽  
Responsible Research And Innovation ◽  
Policy Agenda ◽  
Research And Innovation ◽  
Smart Specialisation ◽  
Geographical Scale ◽  
Innovation Strategies ◽  
Responsible Research

Abstract This article develops a model for a regional responsible research and innovation (RRI) policy, integrating existing European Union policies on RRI, and on research and innovation strategies for smart specialisation (RIS3). RRI and RIS3 are central concepts in the EU’s innovation policy agenda, but there are tensions between the two approaches. The place-based approach inherent in RIS3 is missing from RRI, which has a fuzzy concept of geographical scale and is vulnerable to mismatches between the scale of innovations and of the associated governance networks involved in the innovation process. Meanwhile, the multitude of visions, values and stakeholder perceptions embodied in the RRI concept is countered by the more optimistic and unitary imagining of a regional future in RIS3. We highlight that Europe’s innovation challenges can only be resolved by leveraging the strengths of both types of innovation policy.

scholarly journals Quality of Life Indicators in Selected European Countries: Hierarchical Cluster Analysis Approach

2015 ◽  
Vol 1 (1-2) ◽  
pp. 42-54 ◽  
Author(s):  
Berislav Žmuk
Keyword(s):  
Quality Of Life ◽  
European Union ◽  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Union Member ◽  
Hierarchical Cluster ◽  
European Countries ◽  
Member States ◽  
European Union Member States

Abstract The average expected duration of human life is rising because of different reasons. On the other hand, not only the duration, but the quality of life level is important, too. The higher the quality of life level, the citizens’ happiness and satisfaction levels are higher, which has positive impact on the development and operating of an economy. The goal of this paper is to identify groups of European countries, using statistical hierarchical cluster analysis, by using the quality of life indicators, and to recognise differences in quality of life levels. The quality of life is measured by using seven different indicators. The conducted statistical hierarchical cluster analysis is based on the Ward’s clustering method, and squared Euclidean distances. The results of conducted statistical hierarchical cluster analysis enabled recognizing of three different groups of European countries: old European Union member states, new European Union members, and non-European Union member states. The analysis has revealed that the old European Union member states seem to have in average higher quality of life level than the new European Union member states. Furthermore, the European Union member states have in average higher quality of live level than non-European Union members do. The results indicate that quality of life levels and economic development levels are connected.

scholarly journals ICT Security Measures for the Companies within European Union Member States – Perspectives in COVID-19 Context

2020 ◽  
Vol 14 (1) ◽  
pp. 362-370
Author(s):  
Georgeta-Madalina Meghisan-Toma ◽  
Vasile Cosmin Nicula
Keyword(s):  
European Union ◽  
Factor Analysis ◽  
Statistical Analysis ◽  
Cyber Security ◽  
Union Member ◽  
Descriptive Statistics ◽  
Security Measures ◽  
Ict Security ◽  
European Union Member States

AbstractThe development of ICT usage in households, by individuals or in enterprises is submitted to the requirements of security. This paper aims a statistical analysis of ICT security aspects from several perspectives: ICT policies, staff awareness of ICT security related issues, ICT security related activities. The methodology used for testing the hypotheses is based on descriptive statistics, chart case study, correlation and factor analysis. The results emphasize the importance of investing resources in cyber security, moreover, in the current pandemic situation generated by COVID-19.

scholarly journals Diversification of European Union Member States Due to the Production of Renewable Energy from Agriculture and Forestry

2018 ◽  
Vol 18(33) (2) ◽  
pp. 95-104
Author(s):  
Dorota Janiszewska ◽  
Luiza Ossowska
Keyword(s):  
European Union ◽  
Cluster Analysis ◽  
Renewable Energy ◽  
Union Member ◽  
Energy Change ◽  
Diagnostic Features ◽  
Member States ◽  
Eu Countries ◽  
European Union Countries ◽  
European Union Member States

The main objective of this article is to discuss the diversity of European Union countries in terms of their production of renewable energy from agriculture and forestry. The analysis includes 28 EU countries. Figures come from 2013-2015. Diversification of European Union members was conducted using cluster analysis. The following diagnostic features were used for the analysis: production of renewable energy from agriculture, share of agriculture in production of renewable energy, change in the production of renewable energy from agriculture in 2013-2015, production of renewable energy from forestry, share of forestry in production of renewable energy, change in the production of renewable energy from forestry in 2013-2015. As a result of the cluster analysis examined regions were divided into five groups.

scholarly journals How the Analytic Hierarchy/Network Process Supports a More Responsible and Committed Research and Innovation

2021 ◽  
Vol 13 (3) ◽  
Author(s):  
Hannia Gonzalez-Urango
Keyword(s):  
European Union ◽  
Responsible Research And Innovation ◽  
The European Union ◽  
Analytic Hierarchy ◽  
Research And Innovation ◽  
Global Challenges ◽  
Network Process ◽  
Responsible Research ◽  
Multidimensional Concept

This essay is a brief presentation of Responsible Research and Innovation (RRI). It is an interesting framework that the European Union has been building around science that is more aware of global challenges. It also highlights the usefulness of AHP/ANP as valuable tools to handle the complexities derived from the implementation of a multidimensional concept such as RRI.

Ranking of European Union Member States Based on the Level of Knowledge Created by the Research and Development Sector

2014 ◽  
Vol 9 (1) ◽  
pp. 47-56
Author(s):  
Krystyna Romaniuk
Keyword(s):  
European Union ◽  
Research And Development ◽  
Knowledge Creation ◽  
Union Member ◽  
Political Life ◽  
Ranking Methods ◽  
Member States ◽  
Management Paradigms ◽  
Level Of Knowledge ◽  
European Union Member States

The contemporary era is characterized by revolutionary changes in the economy, technological progress, social and political life. Globalization exerts pressure on businesses and entire economies to increase their competitive strength which is defined as the ability to create knowledge. Knowledge creation and management became the new management paradigms. The responsibility for knowledge creation rests mainly upon the research and development sector. The aim of this study was to rank European Union Member States based on the level of knowledge created by their respective research and development sectors and to identify knowledge creation leaders. The analysis relied on EUROSTAT data for 2007-2011 and linear ranking methods with a reference standard. Our results indicate that Western European and Scandinavian countries are the leaders in the area of knowledge creation.

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