scholarly journals Prospects for innovation performance on European level

2020 ◽  
Vol 12 (3) ◽  
pp. 100-114
Author(s):  
Nuša Erman
Keyword(s):  
Public Funding ◽  
Innovation Performance ◽  
European Level ◽  
Community Innovation Survey ◽  
Research And Innovation ◽  
Innovation Activities ◽  
Enterprise Level ◽  
Future Direction ◽  
Innovation Indicators

Abstract In 2004, the European Commission implemented the Decision No 1608/2003/EC of the European Parliament and of the Council concerning the production and development of Community statistics on innovation. This triggered the awareness of the role of innovation and R&D on national and European level and thus the opportunity to step towards in-depth monitoring innovation performance through various indicators. The paper aims to investigate the trends in the selected innovation indicators (i.e., public funding, expenditures and innovation activities, types of innovation and products introduced, hampered innovation activities) to outline the development direction on the enterprise level using the Community innovation survey data for the 2002–2016 period. Using the basic time series analysis, the paper evaluates the progress according to the European Strategy on research and innovation. Furthermore, using the autocorrelation and autoregression methods, the paper also outlines the future direction in innovation performance on European level.

scholarly journals Different Approaches to Managing Innovation Activities: An Analysis of Strong, Moderate, and Modest Innovators

2017 ◽  
Vol 28 (1) ◽  
pp. 47-55 ◽  
Author(s):  
Viktor Prokop ◽  
Jan Stejskal
Keyword(s):  
Spillover Effects ◽  
Innovation Performance ◽  
Community Innovation Survey ◽  
Policy Makers ◽  
Eu Member States ◽  
Research And Innovation ◽  
Innovation Potential ◽  
Innovation Activities ◽  
Microeconomic Analysis ◽  
The Eu

In the present day, innovation has become a key element of competitive advantage. However, most countries are failing in their innovative activities, and their innovative performance is below that of the EU average. Therefore, the European Commission annually publishes its Innovation Union Scoreboard, which provides a comparative assessment of the EU member states’ research and innovation performance. The countries are divided into four groups according to their innovation performance: innovation leaders, strong innovators, moderate innovators, and modest innovators. In this paper, we have selected countries whose innovation performance was close to, below, or well below that of the EU average in 2015, and we have performed microeconomic analysis of the situation in these countries’ firms to analyze the conditions of their innovation environment and uncover barriers to their innovation activities. We analyzed firms in the manufacturing industries in Slovenia (a strong innovator), Croatia (a moderate innovator), and Romania (a modest innovator) by using original multiple regression models and data from the 2010–2012 Community Innovation Survey. The results demonstrate the different backgrounds for innovation in each country. In Romania, there is a lack of both a satisfactory environment for innovation and sufficient capacity for absorbing public funds; investment into innovation-related activities is also absent. In Croatia, the innovation potential has not been fully exploited. However, we show that the appropriate targeting of innovation determinants (e.g., collaboration with different partners or public financing) could lead to the creation of synergies and spillover effects that would be able to support their innovative activities and strengthen the country’s competitiveness. There is a completely different situation in Slovenia. Firms there effectively utilize the various determinants of innovation activities, and these determinants have strong influence when utilized on their own. On the other hand, results also show that certain significant combinations of determinants of innovation activities are missing in Slovenia. In conclusion, we have proposed practical implications for policy makers that would be able to support innovative activities and help each country to improve its innovation ranking.DOI: http://dx.doi.org/10.5755/j01.ee.28.1.16111

scholarly journals DIFFERENT INFLUENCE OF COOPERATION AND PUBLIC FUNDING ON INNOVATION ACTIVITIES WITHIN GERMAN INDUSTRIES

2019 ◽  
Vol 20 (2) ◽  
pp. 384-397 ◽  
Author(s):  
Viktor Prokop ◽  
Jan Stejskal
Keyword(s):  
Regression Models ◽  
Public Funding ◽  
Innovation Performance ◽  
Linear Regression Models ◽  
Community Innovation Survey ◽  
Innovation Activities ◽  
Public Subsidies ◽  
Innovation Support ◽  
Final Consequence ◽  
Competitive Economy

The aim of this research is to analyse (i) influence of cooperation with different partners and public funding on firms´ willingness to innovate; (ii) how public funding and cooperation with different partners influence firms´ innovation performance (turnover); (iii) effects of mutual interactions between firms´ innovation activities, cooperation with different partners and public funding on firms´ innovation performance (measured with turnover). The situation of 561 firms in Machines and Equipment industries in Germany was analysed because it is one of the most competitive economy in the world and one of the leaders in innovation within European Union. It allows to create unique benchmark and to propose implications that will be more appropriate and applicable also in other countries. For analyses, the data from Community Innovation Survey 2012-2014, which is a harmonized questionnaire and provides EU's science and technology statistics, was used, and new binary and multiple linear regression models were employed. Results of analyses show that provision of public subsidies, unlike cooperation, strongly influence firm’s motivation to innovate. However, results also showed that supported innovation activities do not always lead to an increase in firms´ innovative performance. Therefore, it can be pointed to the phenomenon of inefficiency of public innovation support in final consequence.

scholarly journals Fostering Czech firms? innovation performance through efficient cooperation

2021 ◽  
Vol 12 (3) ◽  
pp. 671-700
Author(s):  
Viktor Prokop ◽  
Michaela Kotkova Striteska ◽  
Jan Stejskal
Keyword(s):  
Czech Republic ◽  
Public Funding ◽  
Value Added ◽  
Manufacturing Firms ◽  
Innovation Systems ◽  
Innovation Performance ◽  
Policy Implications ◽  
The Czech Republic ◽  
Innovation Activities ◽  
The Impact

Research background: The business climate development and the stage of innovation systems? transformation are very similar in many Central and Eastern European countries, making it necessary to study these specific economies. These economies are at a different level of transformation, and their governments are trying to support the development of a knowledge-based economy, the creation of innovation systems, and collaboration among different types of entities. These governments need feedback in the form of research into the impacts of public funding on innovation activities through the influence of basic research and cooperation-based resources in individual countries. Purpose of the article: This paper focuses on the examination of (i) the influence of national and European subsidies on innovation performance in manufacturing firms in the Czech Republic and (ii) impacts of knowledge- and cooperation-based resources on innovation activities in Czech manufacturing. Methods: The latest available data from the Community Innovation Survey was used for analyses realized by different regression models. The proposed research models were gradually created to verify the influence of pro-innovation factors (expenditures on in-house and external R&D and on the acquisition of external tangible and intangible sources, cooperation with different partners and innovation) and public (national and/or European) funding of firms? innovation performance within the Czech manufacturing industry. Findings and value added: The results have showed that there is a need to focus on direct and indirect effects of selected innovation determinants; we have also identified the crucial role of cooperation (specifically with government, public, or private research institutes) as a mediating variable within innovation processes. The results have also evidenced that public funding affects the efficiency of knowledge- and cooperation-based resources and amplifies the impact on firms? innovation performance differently. Whereas subsidies from national budgets do not significantly influence the innovation performance of Czech manufacturing firms, European subsidies, on the other hand, significantly increase firms? innovation performance. A long-term contribution of this paper is the significant completion of the theory of policy implications that may be applicable in a broad international context beyond the borders of the Czech Republic. This study significantly contributes to the ongoing discussion about (i) the significance of public financial subsidies from both national and European funds and (ii) the effects of cooperation and R&D on firms? innovation performance within ?catching-up? in Central and Eastern Europe. 

scholarly journals THE ROLE OF BUSINESS MODEL INNOVATION FOR PRODUCT INNOVATION PERFORMANCE

2018 ◽  
Vol 22 (07) ◽  
pp. 1850061 ◽  
Author(s):  
SAM TAVASSOLI ◽  
LARS BENGTSSON
Keyword(s):  
Business Model ◽  
Product Innovation ◽  
Large Scale ◽  
Dynamic Capabilities ◽  
Business Model Innovation ◽  
Innovation Performance ◽  
Community Innovation Survey ◽  
Product Innovations ◽  
Isolating Mechanisms

We analyse the effect of business model innovation (BMI) on the product innovation performance of firms, based on a dynamic capabilities theoretical framework. Our empirical study is based on a large-scale representative sample of cross-industry Swedish firms participating in three waves of the Community Innovation Survey (CIS) from 2008 to 2012. We hypothesise that BMI in the form of product innovations combined with different complementary and simultaneous innovations in processes, marketing and organisation will act as isolating mechanisms towards replication by competitors, resulting in superior firm performance. Our findings provide support for such hypothesis. BMI is significantly and positively associated with superior product innovation performance. Managers should frame and align product innovations in BMI context, i.e., dynamically adapting product innovations with process, marketing and organisation innovations.

scholarly journals The Effect of Open Innovation on Eco-Innovation Performance: The Role of Market Knowledge Sources

2021 ◽  
Vol 13 (7) ◽  
pp. 3890
Author(s):  
Fernando Sanchez-Henriquez ◽  
Ignacio Pavez
Keyword(s):  
Open Innovation ◽  
Innovation Performance ◽  
Future Research ◽  
Knowledge Sources ◽  
Market Knowledge ◽  
Broad Perspective ◽  
Multiple Strategies ◽  
Innovation Activities ◽  
Sources Of Knowledge

Organizations use multiple strategies to increase the number and impact of eco-innovations as a path to achieve competitive advantage. In this article, we study the role of open innovation activities, specifically related to market sources, as a driver of eco-innovation performance. While studies have looked at the relationship between these two emergent innovation phenomena from a broad perspective, we explore whether specific market knowledge sources—clients, suppliers, competitors, and consultants—and their combined use—affect eco-innovation performance. We rely on insights from theories of open innovation and sustainable and environmental innovation to build a theoretical framework about the determinants of eco-innovation performance from a market-driven open innovation perspective. Our sample consists of 3047 firm-year observations obtained from three consecutive panels of the Chilean Innovation Survey (2009–2014). We found that clients, suppliers, competitors, and consultants as knowledge sources positively influence eco-innovation performance in firms. In addition, our results suggest that a combination of client sourcing with supplier and consultant sources of knowledge positively affect eco-innovation performance. We discuss the implications of our findings for open innovation activities on eco-innovation and suggest ideas for future research.

scholarly journals Networking theory of innovation in practice – The Hungarian case

2018 ◽  
Vol 64 (No. 12) ◽  
pp. 536-545 ◽  
Author(s):  
Jozsef TOTH ◽  
Jeremias MATE BALOGH ◽  
Aron TOROK
Keyword(s):  
European Union ◽  
Food Industry ◽  
Point Of View ◽  
Innovation Performance ◽  
The European Union ◽  
Community Innovation Survey ◽  
Innovation Activities ◽  
Hungarian Case ◽  
Do So ◽  
Significant Factors

According to the European Innovation Scoreboard (2017) report, Hungary’s summarised innovation score is 67.4 against the EU28 average of 102. This implies that the Hungarian economy has got rather serious disadvantages in the European Union community. This statement is more pronounced in the case of the food industry. From an innovation point of view food industry is seen as a slow one, which is lagging behind the technology pushed possibilities, but sometimes behind the customers’ desires and requirements as well. In our research, we determine why the food companies in Hungary do not engage in innovation activities and if they do so, what are the main drivers of their innovation performance? We use the Community Innovation Survey (CIS 2012a) data and employ double hurdle estimation because of the nature of the innovation distribution. This method also helps in overcoming the selection bias problem, which necessarily occurs in this situation. Results prove that networking scope as well as networking intensity, play an important role in explaining innovation performance. The size and market obstacles are also significant factors.

scholarly journals Innovation intensity and skills in firms across five European countries

2021 ◽  
Author(s):  
Martin Falk ◽  
Eva Hagsten
Keyword(s):  
Tertiary Education ◽  
European Countries ◽  
Community Innovation Survey ◽  
Innovation Activities ◽  
Business Statistics ◽  
Industry Affiliation ◽  
Innovation Intensity ◽  
Official Data ◽  
Negative Link

AbstractThis study attempts to establish the importance of specific formally achieved higher skills for the innovation intensity in firms across a group of European countries. Innovation expenditures are calculated as the ratio to turnover and the main explanatory variable is the proportion of highly skilled employees (tertiary education in ICT-oriented or other fields). The analysis employs official data on innovation activities (Community Innovation Survey) in firms for the period 2004–2010, linked to registers on education and businesses as well as to the Structural Business Statistics including 34,000 observations. Estimation results show a strong significantly positive relationship between the innovation intensity and the proportion of highly ICT skilled employees. Higher skills outside the field of ICT are also important for the innovation activities. Control variables reveal that the innovation intensity significantly increases with joint national and EU funding while the role of firm age varies. The significant and negative link to firm size reveals a lack of advantages of scale, a finding possibly related to the use of a comprehensive measure of innovation activities. There are also indications that industry affiliation is essential for the innovation intensity.

scholarly journals Business Sector Innovation and Economic Growth a Comparative Analysis Between EU Countries

2019 ◽  
Vol 52 (1) ◽  
pp. 1-22
Author(s):  
Cláudia Caseiro ◽  
Marta C. N. Simões
Keyword(s):  
Economic Growth ◽  
Absorptive Capacity ◽  
Innovation Performance ◽  
Data Availability ◽  
Positive Sign ◽  
Business Sector ◽  
Innovation Activities ◽  
Group 2 ◽  
Innovation Indicators ◽  
Group 1

This paper examines the relationship between innovation carried out by the business sector and economic growth in the 28 member states of the European Union, divided into two groups (1 and 2) according to their innovation performance. We use fixed effects panel data methods to test the hypothesis that business sector innovation plays a relevant role in explaining the behaviour of real GDP per capita, estimating two growth regressions according to data availability (1990-2015 and 2008-2015; unrestricted/restricted sample). The results indicate that the role of business sector innovation in economic growth not only varies according to the sample of countries and the period under analysis, but also the proxy for innovation used. In group 1 (above average innovation performance) the innovation indicators statistically significant in explaining growth also present a positive sign (with a few exceptions). In group 2 (below average innovation performance) on the other hand, the statistically significant business sector innovation indicators present a negative sign. One possible justification for these signs are differences in absorptive capacity, so that the growth benefits of innovation activities depend on aspects such as human capital availability, accumulated knowledge, technological and financial support. Since group 1 includes countries with higher absorptive capacity, business sector innovation is effectively translated into faster economic growth. In group 2, innovation activities do not translate into productivity increases due to a lack of absorptive capacity. Additionally, resources used in innovation activities might compete with other activities more relevant in terms of the stage of the growth process these countries are in so that innovation saps growth.

scholarly journals ICT-Related Intangibles and Organizational Innovation: Indicators for Improving Connectedness and Flexibility

2012 ◽  
Vol 8 (1) ◽  
pp. 24-45
Author(s):  
Minna Koskinen ◽  
Joni Luomala ◽  
Petri Maaranen
Keyword(s):  
Delphi Study ◽  
Organizational Innovation ◽  
Organizational Factors ◽  
Added Value ◽  
Related Factors ◽  
Organizational Innovativeness ◽  
Innovation Activities ◽  
Ict Infrastructure ◽  
Innovation Indicators

In this paper we address the role of ICT-related intangible assets in organizational innovation. We focus on two important innovation enablers: first, connectedness, the ability of individuals to create and maintain connections to each other; and second, organizational flexibility to adapt to changing needs. For connectedness and flexibility, an agile ICT infrastructure and information management services are needed. Through a Delphi study, we identified several factors hindering organizational innovation, and formulated a set of indicators and related metrics for improvement. We conclude that it is necessary to consider ICT-related factors when organizations pursue improving their innovativeness. However, ICT solutions do not lead to organizational innovativeness independent of other organizational factors and people. If the organization is well-functioning, suitable ICT solutions can provide important added value for its innovation activities.

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