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dissertation in pdf-format - Aalto-yliopisto

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<strong>in</strong>novations are currently becom<strong>in</strong>g <strong>in</strong>creas<strong>in</strong>gly important. One limitation of the study is connected<br />

with model specification and the selection of variables. The model does not <strong>in</strong>clude any <strong>in</strong>ternal<br />

decision or relationship variables like strategy, product, policy or development of capabilities and<br />

network<strong>in</strong>g (Littunen and Virtanen, 2009). These behavioural variables may <strong>in</strong>teract with the tested<br />

variables and thus they could have an impact on both <strong>in</strong>novativeness and growth, too. Because of<br />

the skewness of the distribution the predictive power and reliability may be poor. The reliability of<br />

the test was improved by us<strong>in</strong>g cross-validation. LRA was estimated ignor<strong>in</strong>g the a priori<br />

probability and thereafter matched comparisons (cross-validation) were <strong>in</strong>troduced. Discrim<strong>in</strong>ant<br />

analysis or different forms of least square analyses could have been used as the method of analysis.<br />

However, the assumptions of these methods <strong>in</strong>clude several restrictions for the distribution and<br />

variance of variables and the error term. LRA was selected s<strong>in</strong>ce it <strong>in</strong>cludes fewer restrictions and<br />

will be more effective.

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