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dc.contributor.authorAlon, Ilan
dc.contributor.authorBretas, Vanessa P.G.
dc.contributor.authorSchlip, A
dc.contributor.authorPaltrinieri, Andrea
dc.date.accessioned2023-01-19T12:55:01Z
dc.date.available2023-01-19T12:55:01Z
dc.date.created2022-05-18T17:03:17Z
dc.date.issued2022
dc.identifier.citationAlon, I., Bretas, V. P. G., Schlip, A. & Paltrinieri, A. (2022). Competitiveness Review: an international business journal. Competitiveness Review: an international business journal, 32(7), 85-108.en_US
dc.identifier.issn2051-3143
dc.identifier.urihttps://hdl.handle.net/11250/3044630
dc.descriptionThis study aims to propose a comprehensive greenfield foreign direct investment (FDI) attractiveness index using exploratory factor analysis and automated machine learning (AML). We offer offer a robust empirical measurement of location-choice factors identified in the FDI literature through a novel method and provide a tool for assessing the countries' investment potential.en_US
dc.language.isoengen_US
dc.publisherEmerald Publishing Limiteden_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleGreenfield FDI attractiveness index: a machine learning approachen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 The Author(s)en_US
dc.subject.nsiVDP::Samfunnsvitenskap: 200en_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.source.pagenumber85-108en_US
dc.source.volume32en_US
dc.source.journalCompetitiveness Review: an international business journalen_US
dc.source.issue7en_US
dc.identifier.doihttps://doi.org/10.1108/CR-12-2021-0171
dc.identifier.cristin2025377
dc.description.localcodePaid open accessen_US
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal