Effectiveness of Knowledge Economy Determinants: Case of Selected EU Members

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dc.contributor.author Prokop, Viktor cze
dc.contributor.author Stejskal, Jan cze
dc.date.accessioned 2018-02-27T03:01:31Z
dc.date.available 2018-02-27T03:01:31Z
dc.date.issued 2017 eng
dc.identifier.isbn 978-1-911218-49-4 eng
dc.identifier.uri https://hdl.handle.net/10195/69976
dc.description.abstract Nowadays, economic actors more frequently force to seek new sources of competitive advantage – usually knowledge, to help to build the competitive advantage and sufficiently set them apart from the competition. Therefore, we can see a shift from traditional resources, such as work, land, and capital towards knowledge and its use, especially from hard factors (e.g., infrastructure) towards soft (intangible) factors such as local atmosphere, synergetic effects, human capital, and knowledge assets. However, most countries fail in their attempt to become knowledge or knowledge-based economies and they are not effective during the processes of knowledge creation, use, dissemination and commercialization. We can see a lack of studies analysing and comparing countries´ efficiency during this processes at EU 28 level. We fill this gap and evaluate the efficiency of these processes by using determinants of knowledge economy within EU 28 countries. These determinants are divided into four drivers (pillars) such as: (i) economic incentive and institutional regime, (ii) educated and qualified workers, (iii) an effective innovation system, and (iv) information infrastructure. For our analyses, we used Data Envelopment Analysis which is commonly used for evaluating the effectiveness and productivity of comparable production units based on the size of inputs and outputs. Results show that most of European countries are not effective in the processes of using determinants of knowledge economy (mainly financing of research and development). The main advantage of our research is that, the Data Envelopment Analysis provides practical implications (for each country) on how to improve and how to change inputs and outputs to become efficient. As a data source, we use data from Eurostat databases. eng
dc.format p. 825-832 eng
dc.language.iso eng eng
dc.publisher Academic Conferences and Publishing International eng
dc.relation.ispartof Proceedings of the 18th European Conference on Knowledge Management (ECKM 2017) eng
dc.rights pouze v rámci univerzity eng
dc.subject knowledge economy eng
dc.subject competitiveness eng
dc.subject determinants eng
dc.subject EU members eng
dc.subject effectiveness eng
dc.subject innovation eng
dc.subject public funding eng
dc.subject znalostní ekonomika cze
dc.subject konkurenceschopnost cze
dc.subject determinanty cze
dc.subject EU země cze
dc.subject efektivnost cze
dc.subject inovace cze
dc.subject veřejné prostředky cze
dc.title Effectiveness of Knowledge Economy Determinants: Case of Selected EU Members eng
dc.title.alternative Efektivnost determinantů znalostní ekonomiky: případová studie vybraných zemí EU cze
dc.type ConferenceObject eng
dc.description.abstract-translated V současné době všichni ekonomičtí aktéři na trzích i v jednotlivých regionech hledají zdroje konkurenční výhody. Nejčastěji se věnují získávání nových znalostí, na nichž staví svoji konkurenční výhodu. Vnímáme stálý nedostatek kvalitních studií, které by se zabývaly efektivností vznikajících znalostních sítí a jejich jednotlivých determinantů. Proto cílem této studie je za pomoci DEA analýzy provést analýzu vlivu determinantů znalostní ekonomiky a určit efektivnost jejich fungování ve vybraném vzorku zemí EU. cze
dc.event 18th European Conference on Knowledge Management ECKM 2017 (07.09.2017 - 08.09.2017, Barcelona) eng
dc.peerreviewed yes eng
dc.publicationstatus postprint eng
dc.identifier.scopus 2-s2.0-85035227666
dc.identifier.scopus 2-s2.0-85035227666
dc.identifier.obd 39879346 eng

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