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ASPECTS OF TOTAL QUALITY MANAGEMENT APPLIED IN ...

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Annals of the University “Constantin Brâncuşi”of Tg-Jiu, No. 1/2008, Volume 2,<br />

ISSN: 1842-4856<br />

specialists to identify all indicators who had established a strong relation, meanwhile the statistic<br />

analysis of the main component has been used for identifying the key-indicators for each set.<br />

After the first two stages have been established, there have been 26 indicators left. Their<br />

selection has been based on the following principles:<br />

- The redundancy: if there are several indicators who offer similar information, only one<br />

should be selected;<br />

- The political impact: when two indicators are strongly related and offer a political<br />

message, the two indicators should be selected;<br />

- The available “assets”: only valid indicators for a big number of countries and who could<br />

be obtained within the already-existing data base;<br />

- When two indicators are redundant, keep the one that is already included within the lists.<br />

Finally, using regression techniques, the data base should be filled in with all missing<br />

information.<br />

In order to provide the best global view for the evolution of each country referring to<br />

innovation, specialists should make up a synthesis for all part indicators and gather them into a<br />

general index of innovation. It is easier to analyse the variation of a synthetic indicator that to look<br />

up for any common tendency of part indicators evolution. The synthetic indicator is useful when<br />

establishing a hierarchy containing all countries, in order to highlight all gaps; that is also a useful<br />

instrument for decision-making. Nevertheless, it is not easy to establish a synthetic indicator.<br />

Methodology problems may Also occur, and they have to be solved out the best way possible, in<br />

order to avoid any mistake referring to interpretation or result-use. The list of part indicators we<br />

should use is checked out very often. For instance, the list of part indicators included within the EIS<br />

2005 refers to the indicator called “penetration ratio of simultaneous telecommunication” and it<br />

replaces “Internet access”; the indicator “the weight of innovative companies publicly financed”<br />

replaces “the costs referring to CD of companies financed from public resources’; and the indicator<br />

“national patents for each million inhabitants” is no longer used.<br />

All part indicators should be grouped into a synthetic index of innovation and in sub-indexes<br />

corresponding to thematic groups. That refers to mathematic algorism referring to primary data<br />

standards. Primary indicators are referred to in different measures (for instance %,%o, for 1 million<br />

inhabitants), and that does not allow us to calculate the sum. First of all, you should turn the part<br />

indicators into a common measure, according to standard method minimum-maximum, as<br />

following:<br />

1. establish the standard value (between 0 and 1) for each primary indicator, according to<br />

the relation:<br />

y<br />

ij<br />

x<br />

=<br />

max<br />

ij<br />

− min( x<br />

j<br />

)<br />

( x ) − min( x )<br />

j<br />

Where: yij<br />

- standard value of the indicator j for country i;<br />

x ij – value of indicator j for country i;<br />

j<br />

2. calculate the synthetic index as arithmetical average (moderate or simple) of standard<br />

values of component indicators:<br />

I<br />

i<br />

m<br />

∑<br />

j=<br />

1<br />

= m<br />

q<br />

∑<br />

j=<br />

1<br />

j<br />

q<br />

y<br />

j<br />

ij<br />

98

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