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dc.contributor.authorMičík, Michal
dc.contributor.authorKunešová, Hana
dc.date.accessioned2021-05-17T10:00:18Z-
dc.date.available2021-05-17T10:00:18Z-
dc.date.issued2021
dc.identifier.citationMIČÍK, M., KUNEŠOVÁ, H. Using an eye tracker to optimise career websites as a communication channel with Generation Y. Ekonomska Istrazivanja-Economic Research, 2021, roč. 34, č. 1, s. 66-89. ISSN 1331-677X.cs
dc.identifier.issn1331-677X
dc.identifier.uri2-s2.0-85089865745
dc.identifier.urihttp://hdl.handle.net/11025/43200
dc.format24 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTaylor & Francisen
dc.relation.ispartofseriesEkonomska Istrazivanja-Economic Researchru
dc.rights© Taylor & Francisen
dc.titleUsing an eye tracker to optimise career websites as a communication channel with Generation Yen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedSciPy is an open-source scientific computing library for the Python programming language. Since its initial release in2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.en
dc.subject.translatedExperimental researchen
dc.subject.translatedeye trackeren
dc.subject.translatedcareer websitesen
dc.subject.translatedGeneration Yen
dc.identifier.doi10.1080/1331677X.2020.1798264
dc.type.statusPeer-revieweden
dc.identifier.document-number562613100001
dc.identifier.obd43930109
dc.project.IDSGS-2020-015/Výzkum vybraných oblastí managementu a marketingu organizací v kontextu demografických a technologických změncs
Vyskytuje se v kolekcích:Články / Articles (KMO)
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