Revealing the importance of international and domestic cooperation by using artificial neural networks: case of European radical and incremental innovators

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F23%3A39920818" target="_blank" >RIV/00216275:25410/23:39920818 - isvavai.cz</a>

Alternative codes found

RIV/62690094:18450/23:50018539

Result on the web

<a href="https://www.emerald.com/insight/content/doi/10.1108/EJIM-02-2021-0104/full/html" target="_blank" >https://www.emerald.com/insight/content/doi/10.1108/EJIM-02-2021-0104/full/html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1108/EJIM-02-2021-0104" target="_blank" >10.1108/EJIM-02-2021-0104</a>

Result language

angličtina

Original language name

Revealing the importance of international and domestic cooperation by using artificial neural networks: case of European radical and incremental innovators

Original language description

The purpose of this study is to introduce innovative ideas into the treatment of the radical and incremental innovations and to fill the research gap by using: (1) methods that can perform complicated tasks and solve complex problems leading in creation of radical and incremental innovation and (2) a broad sample of firms across countries. The authors&apos; ambition is to contribute to the scientific knowledge by producing evidence about the novel usage of artificial neural network techniques for measuring European firms&apos; innovation activities appearing in black boxes of innovation processes. Design/methodology/approach In this study, the authors incorporate an international context into Chesbrough&apos;s open innovation (OI) theory and, on the one hand, support the hypothesis that European radical innovators benefit more from foreign cooperation than incremental innovators. On the other hand, the results of the analyses show that European incremental innovators rely on domestic cooperation supported by cooperation with foreign public research institutes. Moreover, the use of decision trees (DT) allows the authors to reveal specific patterns of successful innovators emerging within the hidden layers of neural networks. Findings The authors prove that radical European innovators using either internal or external R&amp;D strategies, while the combinations of these strategies do not bring successful innovation outputs. In contrast, European incremental innovators benefit from various internal R&amp;D processes in which engagement in design activities plays a crucial role. Originality/value The authors introduce innovative ideas into the treatment of hidden innovation processes and measuring the innovation performance (affected by domestic or international cooperation) of European firms. The approach places emphasis on the novelty of innovation and the issue of international cooperation in the era of OI by designing the framework using a combination of artificial neural networks and DT.

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

50601 - Political science

Project

<a href="/en/project/GA20-03037S" target="_blank" >GA20-03037S: Towards a dynamic knowledge-based business model for open innovations</a><br>

Continuities

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

Publication year

2023

Confidentiality

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

Name of the periodical

European Journal of Innovation Management

ISSN

1460-1060

e-ISSN

1758-7115

Volume of the periodical

26

Issue of the periodical within the volume

2

Country of publishing house

GB - UNITED KINGDOM

Number of pages

33

Pages from-to

531-563

UT code for WoS article

000697396900001

EID of the result in the Scopus database

2-s2.0-85115066760