The growth of economic competitiveness as well as effective use of knowledge potential (KP) is of foremost
importance for sustainable development of the newly EU countries. Though scientists have studied the country‘s
KP assessing components, a single quantitative potential assessment technique has not been accepted.
The authors of the performed study provided a theoretical framework and empirical viewing for the complex
evaluation of the KP determinants based on multiple criteria assessment methodology. The essence of the
principal approach lies in quantitative measure of KP level, i.e. determination of general relative level index. The
formulated main multiple criteria evaluation principles are focused on the formalization of an investigated
system describing knowledge components independencies with adequate composite determinants and primary
indicators, i.e. background evaluation models. Thus, the direct and indirect influence of primary criteria is taken
into account; application of different significances of determinants is provided. The proposed technique is
oriented towards incorporation into multicriteria decision making system and may be used for the reasoning of
strategic decisions in the KP development. When applying the Simple Additive Weighting \method, which is
especially applicable for the aggregate evaluation of substantially different criteria having both quantitative and
qualitative expression, the general KP level index has been established.
The idiosyncratic components revealed with account of preliminary situation analysis in newly EU countries and
classification of international institutions are as follows: innovative capacity, use of information technologies
and quality of primary & secondary education. Those components may be described by adequate primary
indicator system formulated in the study. The proposed methodology was approbated by evaluation of the KP
level in Lithuania and by forecasting its prospective situation.
knowledge potential components primary indicators multiple criteria evaluation Simple Additive Weighting method
The growth of economic competitiveness as well as effective use of knowledge potential (KP) is of foremost
importance for sustainable development of the newly EU countries. Though scientists have studied the country‘s
KP assessing components, a single quantitative potential assessment technique has not been accepted.
The authors of the performed study provided a theoretical framework and empirical viewing for the complex
evaluation of the KP determinants based on multiple criteria assessment methodology. The essence of the
principal approach lies in quantitative measure of KP level, i.e. determination of general relative level index. The
formulated main multiple criteria evaluation principles are focused on the formalization of an investigated
system describing knowledge components independencies with adequate composite determinants and primary
indicators, i.e. background evaluation models. Thus, the direct and indirect influence of primary criteria is taken
into account; application of different significances of determinants is provided. The proposed technique is
oriented towards incorporation into multicriteria decision making system and may be used for the reasoning of
strategic decisions in the KP development. When applying the Simple Additive Weighting \method, which is
especially applicable for the aggregate evaluation of substantially different criteria having both quantitative and
qualitative expression, the general KP level index has been established.
The idiosyncratic components revealed with account of preliminary situation analysis in newly EU countries and
classification of international institutions are as follows: innovative capacity, use of information technologies
and quality of primary & secondary education. Those components may be described by adequate primary
indicator system formulated in the study. The proposed methodology was approbated by evaluation of the KP
level in Lithuania and by forecasting its prospective situation.
Primary Language | English |
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Journal Section | Articles |
Authors | |
Publication Date | June 1, 2013 |
Published in Issue | Year 2013 Volume: 8 Issue: 1 |