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Table 1 The knowledge bases and knowledge levels of Product Innovation T

in Department of Industrial Engineering and Management Development and Management in Industry
by Teknillinen Korkeakoulu, Tuotantotalouden Osasto

Table 6 Classification of product innovation in a diffusion/convergence matrix

in Scaling Trajectories in Civil Aircraft (1913-1997)'
by Koen Frenken Inra, Koen Frenken, Loet Leydesdorff
"... In PAGE 23: ... Four types of designs can then be distinguished in terms of their diffusion value (high/low) and convergence value (high/low). This classification is summarised in Table6 , including some examples drawn from the results on the civil aircraft industry: ... ..."

Table A2: Product Innovation R amp;D Regression*

in R&D and the Demand for Skilled and Unskilled Labor
by Universitt Konstanz, Stefan Klotz, Stefan Klotz, Winfried Pohlmeier, Winfried Pohlmeier

Table 5. Estimates for Generational Product Innovation (Entrainment Analyses)

in unknown title
by unknown authors 2004
"... In PAGE 29: ... Zeros represent the absence of major trade show events, and ones represent the occurrence of major trade show events. Table5 presents the entrainment results. Models 4a and 4b extend Model 3 from Tables 2 and 3.... ..."

Table 4. Determinants of profitability for product and process innovators

in Dynamic Competences and Firm Performance
by Aija Leiponen, Giovanni Dosi (dosi

Table 4. Determinants of profitability for product and process innovators

in Dynamic Competences and Firm Performance
by Giovanni Dosi (dosi, Aija Leiponen

Table 7. Enterprises with innovation activities (product and process innovations) (year 2000) Innovative enterprises

in FDI, R&D and Human Capital in the Central and Eastern European Countries
by Cristiano Perugini, Fabrizio Pompei, Marcello Signorelli, Cristiano Perugini, Fabrizio Pompei, Marcello Signorelli 2005
"... In PAGE 15: ...000 inhabitants) is about half of the EU-15 value, the Czech Republic exceeds the CEE-10 average and approaches the EU-15 value. The value in Estonia ( Table7 ) is particularly high. Table 6.... ..."

Table 2. Probit Estimates for Generational Product Innovation and On-Market Selection (N = 2617 organization-months, 2592 on-market observations, 72 generational product innovation events)

in unknown title
by unknown authors 2004
"... In PAGE 21: ... Second, the Weibull model provides more conservative results relative to our hypotheses. RESULTS Table2 presents the results of the discrete-time probit model. The focal equation has generational product innovation as the dependent variable.... In PAGE 24: ... In Figure 2 (probit estimates), we observe a positive effect of organizational size on innovation for the large majority of the time since previous innovation range. This is consistent with the positive and significant effect of organizational size in Model 2, Table2 . If we extend the plot in Figure 3 (Weibull estimates) throughout the entire range of time since previous innovation, we would observe a negative effect of organizational size on innovation for a slight majority of the range.... ..."

Table 3. Continuous Time: Weibull Estimates for Rate of Generational Product Innovation (N = 2617 organization-months, 2592 on-market observations, 72 generational product innovation events)

in unknown title
by unknown authors 2004
"... In PAGE 21: ... We operationalized selection (OnMkt) as a binary variable (1 if the organization apos;s product remains on the market throughout the end of the time period, and 0 otherwise). Table3 presents the results for the continuous-time model, employing a Weibull distribution. We report the results in a hazard metric.... In PAGE 24: ... If we extend the plot in Figure 3 (Weibull estimates) throughout the entire range of time since previous innovation, we would observe a negative effect of organizational size on innovation for a slight majority of the range. This is consistent with a negative and insignificant effect of organizational size in Model 2, Table3 . As discussed above, the difference in the organizational size effect reflects, in part, the inclusion of a historical ... ..."

Table 2. Product and process innovators in London by life cycle stage

in Innovation, agglomeration, and regional
by Ian R. Gordon, Philip Mccann 2005
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