Effectiveness of Knowledge Economy Determinants: Case of Selected EU Members

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F17%3A39910845" target="_blank" >RIV/00216275:25410/17:39910845 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Effectiveness of Knowledge Economy Determinants: Case of Selected EU Members

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

50601 - Political science

Project

<a href="/en/project/GA17-11795S" target="_blank" >GA17-11795S: Modeling the Dynamics and Determinants of National and Regional Productivity Based on Knowledge and Cooperative Effects</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 18th European Conference on Knowledge Management (ECKM 2017)

ISBN

978-1-911218-49-4

ISSN

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e-ISSN

neuvedeno

Number of pages

8

Pages from-to

825-832

Publisher name

Academic Conferences and Publishing International

Place of publication

Reading

Event location

Barcelona

Event date

Sep 7, 2017

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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