Page 189 - Hojnik, Jana. 2017. In Persuit of Eco-innovation. Drivers and Consequences of Eco-innovation at Firm Level. Koper: University of Primorska Press
P. 189
Results 189
Next, we conducted an exploratory factor analysis by using the over-
all sample (the method of extraction in the exploratory analysis was the
Maximum Likelihood Method, while the selected rotation was Di-
rect Oblimin rotation). Before the analysis, all measurement items were
checked for normality of distribution (see Table 50).
The appropriateness of factor analysis was determined by examin-
ing the correlation matrix of organizational eco-innovation items. The
Bartlett’s test of sphericity, which statistically tests for the presence of
correlations among the underlying variables, showed that the correla-
tion matrix has significant correlations (p < 0.05). Furthermore, the Kai-
ser-Meyer-Olkin measure of sampling adequacy was 0.901, which indi-
cates means an excellent sample adequacy.
The number of expected factors was one, and the extracted factor was
one. Further, one factor explains 78.368% of variance. After considera-
tion of each item’s communality index and its contribution, we retained
all the items (the lowest communality after extraction was 0.642).
Table 51: KMO and Bartlett’s test of sphericity (Organizational eco-innovation)
KMO and Bartlett’s test Approx. chi-square 0.901
Kaiser-Meyer-Olkin Measure of Sampling Adequacy df 1454.634
Sig.
Bartlett’s test of sphericity 15
0.000
A confirmatory factor analysis was conducted in order to validate the
findings of the exploratory factor analysis, which resulted in one factor
composed of six items. This has also been confirmed by the confirmatory
factor analysis. The dimension of organizational eco-innovation compris-
es six items. All the coefficients were found to be positive, high and signif-
icant, and they are indicated in Table 52 and Figure 15.
Next, we conducted an exploratory factor analysis by using the over-
all sample (the method of extraction in the exploratory analysis was the
Maximum Likelihood Method, while the selected rotation was Di-
rect Oblimin rotation). Before the analysis, all measurement items were
checked for normality of distribution (see Table 50).
The appropriateness of factor analysis was determined by examin-
ing the correlation matrix of organizational eco-innovation items. The
Bartlett’s test of sphericity, which statistically tests for the presence of
correlations among the underlying variables, showed that the correla-
tion matrix has significant correlations (p < 0.05). Furthermore, the Kai-
ser-Meyer-Olkin measure of sampling adequacy was 0.901, which indi-
cates means an excellent sample adequacy.
The number of expected factors was one, and the extracted factor was
one. Further, one factor explains 78.368% of variance. After considera-
tion of each item’s communality index and its contribution, we retained
all the items (the lowest communality after extraction was 0.642).
Table 51: KMO and Bartlett’s test of sphericity (Organizational eco-innovation)
KMO and Bartlett’s test Approx. chi-square 0.901
Kaiser-Meyer-Olkin Measure of Sampling Adequacy df 1454.634
Sig.
Bartlett’s test of sphericity 15
0.000
A confirmatory factor analysis was conducted in order to validate the
findings of the exploratory factor analysis, which resulted in one factor
composed of six items. This has also been confirmed by the confirmatory
factor analysis. The dimension of organizational eco-innovation compris-
es six items. All the coefficients were found to be positive, high and signif-
icant, and they are indicated in Table 52 and Figure 15.
