Page 176 - Hojnik, Jana. 2017. In Persuit of Eco-innovation. Drivers and Consequences of Eco-innovation at Firm Level. Koper: University of Primorska Press
P. 176
In Pursuit of Eco-innovation
Table 41: KMO and Bartlett’s test of sphericity (Competitive pressure)
KMO and Bartlett’s test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy 0.750
560.824
Approx. chi-square
3
Bartlett’s test of sphericity df 0.000
Sig.
When considering the results of the exploratory factor analyses, these
demonstrate better fit for the construct of competitive pressure (more
variance explained for the competitive pressure than for the competitive
intensity). Therefore, we decided that, in the final testing of the model, we
would retain only the construct of competitive pressure and leave out the
176 construct of competitive intensity, which explains too low share of vari-
ance (only 36.733%)sx and thus seems to not play as important a role as a
driver of eco-innovation in the analyzed companies as does competitive
pressure. In the literature, we can see that the construct of competitive
pressure fits better when focusing on eco-innovations, and researchers
have used it in models of eco-innovation, while the construct of competi-
tive intensity is used more often for regular innovation.
Even though we decided to eliminate competitive intensity from fur-
ther analyses, we have still conducted a confirmatory factor analysis to
validate the findings of the previous exploratory factor analysis for com-
petitive intensity. The eco-innovation determinant competitive intensity
comprises three items, and the standardized coefficients were found to be
positive and significant but demonstrating lower values. They are shown
in Table 42 and Figure 11.
Table 42: Standardized coefficients and their squares (Competitive intensity)
Competition in our industry is cutthroat. Standard. coeff. R-square
Anything that one competitor can offer others can match readily. 0.72 0.52
Price competition is a hallmark of our industry. 0.52 0.27
0.55 0.30
Note: Standard. coeff. = Standardized coefficients; R-square = Coefficient of Determinati-
on; since this construct has been measured by only three items, an additional constraint (fac-
tor has been fixed to one) has been imposed in order to estimate the goodness-of-fit indexes.
Table 41: KMO and Bartlett’s test of sphericity (Competitive pressure)
KMO and Bartlett’s test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy 0.750
560.824
Approx. chi-square
3
Bartlett’s test of sphericity df 0.000
Sig.
When considering the results of the exploratory factor analyses, these
demonstrate better fit for the construct of competitive pressure (more
variance explained for the competitive pressure than for the competitive
intensity). Therefore, we decided that, in the final testing of the model, we
would retain only the construct of competitive pressure and leave out the
176 construct of competitive intensity, which explains too low share of vari-
ance (only 36.733%)sx and thus seems to not play as important a role as a
driver of eco-innovation in the analyzed companies as does competitive
pressure. In the literature, we can see that the construct of competitive
pressure fits better when focusing on eco-innovations, and researchers
have used it in models of eco-innovation, while the construct of competi-
tive intensity is used more often for regular innovation.
Even though we decided to eliminate competitive intensity from fur-
ther analyses, we have still conducted a confirmatory factor analysis to
validate the findings of the previous exploratory factor analysis for com-
petitive intensity. The eco-innovation determinant competitive intensity
comprises three items, and the standardized coefficients were found to be
positive and significant but demonstrating lower values. They are shown
in Table 42 and Figure 11.
Table 42: Standardized coefficients and their squares (Competitive intensity)
Competition in our industry is cutthroat. Standard. coeff. R-square
Anything that one competitor can offer others can match readily. 0.72 0.52
Price competition is a hallmark of our industry. 0.52 0.27
0.55 0.30
Note: Standard. coeff. = Standardized coefficients; R-square = Coefficient of Determinati-
on; since this construct has been measured by only three items, an additional constraint (fac-
tor has been fixed to one) has been imposed in order to estimate the goodness-of-fit indexes.
