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management support and the performance of entrepreneurial start-ups

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MANAGEMENT SUPPORT<br />

Finally, <strong>the</strong> subjective evaluation <strong>of</strong> <strong>the</strong> contribution <strong>of</strong> <strong>management</strong> <strong>support</strong> to <strong>the</strong> success <strong>of</strong><br />

<strong>the</strong> companies in <strong>the</strong> sample shows that 38.7 percent <strong>of</strong> <strong>the</strong> respondents believed that <strong>management</strong><br />

<strong>support</strong> had a positive, or even a very positive, impact on <strong>the</strong>ir company’s <strong>performance</strong>.<br />

At <strong>the</strong> same time, 47.2 percent stated that <strong>management</strong> <strong>support</strong> had no eff ect at all, <strong>and</strong> 14.1<br />

percent even saw negative or very negative consequences <strong>of</strong> <strong>management</strong> <strong>support</strong>.<br />

Th e evaluation <strong>of</strong> <strong>the</strong> quality <strong>of</strong> <strong>management</strong> <strong>support</strong> <strong>of</strong>f ered by venture capital fi rms is<br />

normally distributed among <strong>the</strong> companies in <strong>the</strong> sample. 34.3 percent <strong>of</strong> <strong>the</strong> respondents<br />

rated <strong>the</strong> quality <strong>of</strong> <strong>management</strong> <strong>support</strong> as ei<strong>the</strong>r good or very good. 23.6 evaluated it as<br />

satisfactory, but 41.5 percent <strong>of</strong> <strong>the</strong> respondents believed that <strong>the</strong> <strong>management</strong> <strong>support</strong><br />

<strong>of</strong>f ered by <strong>the</strong>ir VC partner was ei<strong>the</strong>r barely suffi cient or even insuffi cient (Figure 2 ).<br />

Figure 2: Evaluation <strong>of</strong> <strong>the</strong> quality <strong>of</strong> <strong>management</strong> <strong>support</strong><br />

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SBR 59 April 2007 138-159 147<br />

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Th e descriptive overview <strong>of</strong> <strong>the</strong> sample shows that both <strong>the</strong> perceived quality <strong>of</strong> <strong>management</strong><br />

<strong>support</strong> <strong>and</strong> <strong>the</strong> diff erent <strong>performance</strong> indicators are more or less normally distributed<br />

among <strong>the</strong> companies in <strong>the</strong> sample. Th erefore, we want to know how <strong>the</strong> two sets<br />

<strong>of</strong> variables are correlated.<br />

4.2 ANALYSIS OF CORRELATIONS<br />

To analyze <strong>the</strong> relationship between <strong>the</strong> quality <strong>of</strong> <strong>the</strong> <strong>management</strong> <strong>support</strong> <strong>of</strong>f ered by<br />

VC fi rms <strong>and</strong> <strong>the</strong> <strong>performance</strong> <strong>of</strong> <strong>entrepreneurial</strong> <strong>start</strong>-<strong>ups</strong>, we compute rank correlations.<br />

Figure 3 shows <strong>the</strong> corresponding matrix <strong>of</strong> correlation coeffi cients. Th e matrix indicates,<br />

fi rst <strong>of</strong> all, that <strong>the</strong> <strong>performance</strong> measures are hardly correlated with each o<strong>the</strong>r. Only

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