Collaboration for innovation in small CEE countries

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F19%3A39915083" target="_blank" >RIV/00216275:25410/19:39915083 - isvavai.cz</a>

Result on the web

<a href="https://dspace.tul.cz/bitstream/handle/15240/151426/EM_1_2019_09.pdf?sequence=1&isAllowed=y" target="_blank" >https://dspace.tul.cz/bitstream/handle/15240/151426/EM_1_2019_09.pdf?sequence=1&isAllowed=y</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15240/tul/001/2019-1-009" target="_blank" >10.15240/tul/001/2019-1-009</a>

Result language

angličtina

Original language name

Collaboration for innovation in small CEE countries

Original language description

The innovative environment and its elements are crucial determinants of the innovation activity of enterprises in developed economies. Also public authorities also focus on innovation environment development, which are being implemented with financial support from public budgets. In developed countries, these incentives are geared to promoting cooperation, as it is a key element of any innovative environment. In Western economies, a certain Western innovation model is being implemented. However, its application in the CEE countries is significantly limited due to the specific characteristics of these economies. Therefore, the main focus of the paper is to examine the impact of cooperation with different types of innovation partners on product innovation performance of manufacturing companies in small CEE countries. In the first phase of the research, CIS data (from Eurostat) and its own regression models identify the types of co-operating partners (private and public) that have the most significant impact on product innovation (researched separately in selected CEE countries). In the second part, the model is constructed so as to identify the predictors, the variables having a significant impact on product innovations across countries (using a merged dataset from all analysed CEE countries). To expand knowledge about innovation and business performance, three variables were added to the model as control variables: market orientation, company ownership, and public funding. The combined dataset of the five CEE countries was again used to examine the impact of different types of co-operating partners on product innovation through a binary logistic regression model. Findings of logistic regression are encouraging; pointing out that the transition to a market economy with a delay has also encouraged the establishment of relationships between firms and private institutions in favour of boosting innovation performance. In doing so, CEE countries are gradually approaching the behaviour of firms in Western European countries.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50603 - Organisation theory

Project

<a href="/en/project/GA17-11795S" target="_blank" >GA17-11795S: Modeling the Dynamics and Determinants of National and Regional Productivity Based on Knowledge and Cooperative Effects</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

E+M Ekonomie a Management

ISSN

1212-3609

e-ISSN

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Volume of the periodical

22

Issue of the periodical within the volume

1

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

15

Pages from-to

130-144

UT code for WoS article

000461177700009

EID of the result in the Scopus database

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