Conference Object Open access M33
2024
University of Belgrade, Technical Faculty in Bor
[XX] International May Conference on Strategic Management – IMCSM24, May 31, 2024, Bor [Elektronski izvor]
XX
2
180
190
English
M33 - Conference paper at an international conference, printed in full
This paper explores the level of innovativeness among European Union (EU) countries through the application of the Global Innovation Index (GII) and cluster analysis methodology. The research aims to identify the key factors contributing to innovation in various EU countries and to group these countries into homogeneous cluster groups to understand their innovation performance better. Cluster analysis is employed to identify similarities among countries based on their innovation characteristics. The research results provide insight into the relative position of EU countries in the domain of innovation, identifying innovation leaders as well as those lagging behind. Cluster analysis enables the grouping of countries into cluster groups based on similarities in their innovation profiles, facilitating the identification of common challenges and opportunities for collaboration.
Global Innovation Index, Innovation, European Union, Cluster analysis
10.5937/IMCSM24069N
2620-0597
978-86-6305-151-5
| dc.rights.license | CC-BY-NC-ND |
|---|---|
| dc.identifier.isbn | 978-86-6305-151-5 |
| dc.identifier.issn | 2620-0597 |
| dc.identifier.doi | 10.5937/IMCSM24069N |
| dc.identifier.uri | https://mksm.tfbor.bg.ac.rs/downloads/2024/IMCSM24_Book_of_proceedings_Issue_2.pdf |
| dc.identifier.uri | https://repozitorijum.tfbor.bg.ac.rs/handle/123456789/5920 |
| dc.description.abstract | This paper explores the level of innovativeness among European Union (EU) countries through the application of the Global Innovation Index (GII) and cluster analysis methodology. The research aims to identify the key factors contributing to innovation in various EU countries and to group these countries into homogeneous cluster groups to understand their innovation performance better. Cluster analysis is employed to identify similarities among countries based on their innovation characteristics. The research results provide insight into the relative position of EU countries in the domain of innovation, identifying innovation leaders as well as those lagging behind. Cluster analysis enables the grouping of countries into cluster groups based on similarities in their innovation profiles, facilitating the identification of common challenges and opportunities for collaboration. |
| dc.language.iso | en |
| dc.publisher | University of Belgrade, Technical Faculty in Bor |
| dc.relation.ispartof | XIX International May Conference on Strategic Management – IMCSM24 Proceedings - zbornik radova |
| dc.source | [XX] International May Conference on Strategic Management – IMCSM24, May 31, 2024, Bor [Elektronski izvor] |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.subject | Global Innovation Index |
| dc.subject | Innovation |
| dc.subject | European Union |
| dc.subject | Cluster analysis |
| dc.title | Analysis of innovation in EU countries |
| dc.type | conferenceObject |
| dc.type.version | publishedVersion |
| dc.citation.volume | XX |
| dc.citation.issue | 2 |
| dc.citation.spage | 180 |
| dc.creator | Nikolić, Ivica |
| dc.citation.epage | 190 |
| dc.citation.rank | M33 |
| dc.creator | Stojanović, Anđelka |
| dc.creator | Radić, Aleksandra |
| dc.creator | Đorđević, Predrag |
| dc.date.accessioned | 2024-12-17T10:58:20Z |
| dc.date.available | 2024-12-17T10:58:20Z |
| dc.date.issued | 2024 |
| Analysis of innovation in EU countries | 2 |
|---|
| IMCSM24_Book_of_proceedings_Issue_2-180-190.pdf | 0 |
|---|