Collaboration for innovation in small CEE countries

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Collaboration for innovation in small CEE countries

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Collaboration for innovation in small CEE countries

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50603 - Organisation theory

Projekt

<a href="/cs/project/GA17-11795S" target="_blank" >GA17-11795S: Modelování dynamiky determinantů národní a regionální produktivity založené na znalostních a kooperačních efektech</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

E+M Ekonomie a Management

ISSN

1212-3609

e-ISSN

—

Svazek periodika

22

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

15

Strana od-do

130-144

Kód UT WoS článku

000461177700009

EID výsledku v databázi Scopus

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