Repository logo
 
Publication

Global Innovation Index: moving beyond the absolute value of ranking with a fuzzy-set analysis

2016Journal article Restricted access
Simple item page
dc.contributor.authorCrespo, Nuno
dc.contributor.authorCrespo, Cátia Fernandes
dc.date.accessioned2018-11-09T15:38:53Z
dc.date.available2018-11-09T15:38:53Z
dc.date.issued2016
dc.description.abstractThis study constitutes a novel application of fuzzy-set qualitative comparative analysis to Global Innovation Index (GII) data. Building on the National Innovation System approach, this study posits that a country may achieve high innovation performance via several combinations of causal conditions. These conditions are the five input pillars of GII: institutions, human capital and research, infrastructure, market sophistication and business sophistication. By defining two subsamples of countries (high-income and low-income countries), several interesting findings emerged. Several causal combinations of conditions lead to high innovation performance in both groups of countries. In order to obtain better innovation performance, the low-income countries evidence more multifaceted solutions. Results show that none of the conditions are necessary for predicting high innovation performance in both samples. Additionally, in the low-income group of countries, none of the conditions, individually, is, sufficient to predict higher innovation performance, while in the high-income group of countries the infrastructure and human capital and research conditions, on their own, are sufficient to obtain better innovation performance. Results indicate that the political decision-making processes required for improving the level of innovation need to be different for each group of countries.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doihttps://doi.org/10.1016/j.jbusres.2016.04.123pt_PT
dc.identifier.issn0148-2963
dc.identifier.urihttp://hdl.handle.net/10400.8/3636
dc.language.isoengpt_PT
dc.peerreviewednopt_PT
dc.publisherJournal of Business Researchpt_PT
dc.subjectNational Innovation Systemspt_PT
dc.subjectGII datapt_PT
dc.subjectfsQCApt_PT
dc.subjectCountry level of economic developmentpt_PT
dc.subjectCountry innovation outcomespt_PT
dc.subjectCountry input innovation pillarspt_PT
dc.titleGlobal Innovation Index: moving beyond the absolute value of ranking with a fuzzy-set analysispt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage5271pt_PT
oaire.citation.issue11pt_PT
oaire.citation.startPage5265pt_PT
oaire.citation.titleJournal of Business Researchpt_PT
oaire.citation.volume69pt_PT
person.familyNameCrespo
person.givenNameCátia Fernandes
person.identifier.ciencia-id0615-6420-EC94
person.identifier.orcid0000-0003-2886-7370
person.identifier.scopus-author-id56072058400
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication99788e3e-3e04-4f90-a511-7ee6c6f2dd78
relation.isAuthorOfPublication.latestForDiscovery99788e3e-3e04-4f90-a511-7ee6c6f2dd78

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Crespo_Crespo_Journal of Business Research.pdf
Size:
74.78 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.32 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

CARME - Artigos
ESTG - Artigos em revistas internacionais