dissertation in pdf-format - Aalto-yliopisto
dissertation in pdf-format - Aalto-yliopisto
dissertation in pdf-format - Aalto-yliopisto
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406 J. Siikonen et al.<br />
<strong>in</strong>novation activity of firms conventionally we risk miss<strong>in</strong>g much of the holistic<br />
<strong>in</strong>novation and <strong>in</strong>novation activities <strong>in</strong> diverse branches of <strong>in</strong>dustry.<br />
The results of the <strong>in</strong>dustry-level study show that the KIBS sector is relatively<br />
heterogeneous <strong>in</strong> terms of <strong>in</strong>novation activity targeted to growth. The ma<strong>in</strong> f<strong>in</strong>d<strong>in</strong>g <strong>in</strong> this<br />
respect is that KIBS firms’ orientation towards new commercial and conceptual services<br />
<strong>in</strong>creased their probability of be<strong>in</strong>g classified as growth-oriented. There were several<br />
differences between classes I and II related to numbers and types of <strong>in</strong>novation. Firms <strong>in</strong><br />
group I saw <strong>in</strong>novation activities as a central part of their bus<strong>in</strong>ess. Interest<strong>in</strong>gly, the<br />
firms <strong>in</strong> class I estimated that <strong>in</strong>novation also had a substantial impact on their bus<strong>in</strong>ess,<br />
while their counterparts <strong>in</strong> class II reported that <strong>in</strong>novation only had m<strong>in</strong>or positive<br />
<strong>in</strong>fluences. When the respondents were asked to estimate the relationship between<br />
<strong>in</strong>novations created dur<strong>in</strong>g the years 2003 to 2005 and their effects on their bus<strong>in</strong>ess,<br />
40% of the respondents claimed that <strong>in</strong>novation had a less than 10% impact on their<br />
turnover. Interest<strong>in</strong>gly, however, almost 25% of the respondents estimated that<br />
<strong>in</strong>novation had a remarkable <strong>in</strong>fluence (25% or more) on their firm’s turnover. Logistic<br />
regression analysis revealed that the follow<strong>in</strong>g characteristics significantly <strong>in</strong>creased the<br />
firm’s likelihood of record<strong>in</strong>g turnover growth over 25% (and hence be<strong>in</strong>g classified <strong>in</strong><br />
class I): complete new process <strong>in</strong>novation, current product or service renewals, complete<br />
new product or service <strong>in</strong>novation and complete new market and market<strong>in</strong>g <strong>in</strong>novation.<br />
The other variables were not significant <strong>in</strong> this respect (see Appendix 1).<br />
Table 5 presents summary statistics of a stepwise logistic regression model <strong>in</strong>dicat<strong>in</strong>g<br />
that the follow<strong>in</strong>g variables <strong>in</strong>creased the probability of a firm hav<strong>in</strong>g turnover growth<br />
exceed<strong>in</strong>g 25% (and thus be<strong>in</strong>g classified as class I):<br />
1 enhancement of products or services<br />
2 implementation of new products or services<br />
3 new market or market<strong>in</strong>g-related <strong>in</strong>novation.<br />
Table 5 Variables <strong>in</strong>creas<strong>in</strong>g the probability of KIBS-firms be<strong>in</strong>g classified <strong>in</strong> class I, i.e.,<br />
<strong>in</strong>creas<strong>in</strong>g turnover by more than 25% <strong>in</strong> the preced<strong>in</strong>g three years (2003–2005)<br />
Enhancement or renewal of current<br />
products or services<br />
B. S.E. Wald Sig. Exp(B)<br />
0.613 0.199 9.90 * 1.85<br />
Implementation of new products or<br />
services<br />
0.592 0.186 10.13 * 1.81<br />
New market or market<strong>in</strong>g-related<br />
<strong>in</strong>novations<br />
0.585 0.192 9.27 * 1.79<br />
Constant –4.538 0.797 4.50 ***<br />
Notes: –2 log Likelihood 190.6<br />
Cox and Snell R 2 Nagelkerke R<br />
29.8%<br />
2 40.3%<br />
Level of significance *** = p 0.001, ** = p 0.01 and * = p 0.05<br />
Clasiification capability 76%<br />
The goodness of the model (Cox and Snell – R 2 ) is 30%, show<strong>in</strong>g that it is statistically<br />
very significant, and it has a satisfactory classification capability of 76%. The logistic<br />
regression analysis confirmed that several factors significantly <strong>in</strong>fluenced the probability<br />
of hav<strong>in</strong>g turnover growth exceed<strong>in</strong>g 25%. However, <strong>in</strong>novation related to partnerships