Page 156 - Hojnik, Jana. 2017. In Persuit of Eco-innovation. Drivers and Consequences of Eco-innovation at Firm Level. Koper: University of Primorska Press
P. 156
In Pursuit of Eco-innovation
tant component of the company’s environmental management strategy”;
however, this mean value is still above average relative to the 7-point scale
and thus reflects more agreement than disagreement.
Exploratory factor analysis was further conducted by using the whole
sample (all 223 observations) and by employing statistical package SPSS
version 21. Before the analysis, all measurement items were checked for
normality of distribution (see Table 24). Results have shown that the ra-
tio of standard errors of kurtosis and skewness range between values of -2
and 2, and thus the normality of distribution is confirmed. If the value
of this ratio is lower than -2 or higher than 2, then the normality of dis-
tribution is rejected (Gomezelj Omerzel 2008). In our case, all the values
of all items range between -2 and 2. The method of extraction in the ex-
ploratory analysis was the Maximum Likelihood Method, while the se-
156 lected rotation was Direct Oblimin rotation, which assumes that differ-
ent factors are related.
The appropriateness of factor analysis was determined by examining
the correlation matrix of managerial environmental concern items. The
existence of sufficient correlations (the Bartlett’s test of sphericity) and
the Kaiser-Meyer-Olkin measure of sampling adequacy higher than 0.50
are more critical issues. The Bartlett’s test of sphericity that statistical-
ly tests for the presence of correlations among the underlying variables
showed that the correlation matrix has significant correlations (p < 0.05).
In our case, the Bartlett’s test of sphericity showed that the correlation
matrix has significant correlations (sig. = 0.000 for all items). Further-
more, the Kaiser-Meyer-Olkin measure of sampling adequacy was exam-
ined and indicated similar results; specifically, the KMO value was 0.732,
which indicates a middling sample adequacy.
Table 25: KMO and Bartlett’s test of sphericity (Managerial environmental concern)
KMO and Bartlett’s test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy 0.732
435.886
Approx. chi-square
6
Bartlett’s test of sphericity df
0,000
Sig.
The number of expected factors was one, and the extracted factor
was one, as expected and already tested in previous research works, when
using this construct. In addition, the scree plot of the initial run indi-
tant component of the company’s environmental management strategy”;
however, this mean value is still above average relative to the 7-point scale
and thus reflects more agreement than disagreement.
Exploratory factor analysis was further conducted by using the whole
sample (all 223 observations) and by employing statistical package SPSS
version 21. Before the analysis, all measurement items were checked for
normality of distribution (see Table 24). Results have shown that the ra-
tio of standard errors of kurtosis and skewness range between values of -2
and 2, and thus the normality of distribution is confirmed. If the value
of this ratio is lower than -2 or higher than 2, then the normality of dis-
tribution is rejected (Gomezelj Omerzel 2008). In our case, all the values
of all items range between -2 and 2. The method of extraction in the ex-
ploratory analysis was the Maximum Likelihood Method, while the se-
156 lected rotation was Direct Oblimin rotation, which assumes that differ-
ent factors are related.
The appropriateness of factor analysis was determined by examining
the correlation matrix of managerial environmental concern items. The
existence of sufficient correlations (the Bartlett’s test of sphericity) and
the Kaiser-Meyer-Olkin measure of sampling adequacy higher than 0.50
are more critical issues. The Bartlett’s test of sphericity that statistical-
ly tests for the presence of correlations among the underlying variables
showed that the correlation matrix has significant correlations (p < 0.05).
In our case, the Bartlett’s test of sphericity showed that the correlation
matrix has significant correlations (sig. = 0.000 for all items). Further-
more, the Kaiser-Meyer-Olkin measure of sampling adequacy was exam-
ined and indicated similar results; specifically, the KMO value was 0.732,
which indicates a middling sample adequacy.
Table 25: KMO and Bartlett’s test of sphericity (Managerial environmental concern)
KMO and Bartlett’s test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy 0.732
435.886
Approx. chi-square
6
Bartlett’s test of sphericity df
0,000
Sig.
The number of expected factors was one, and the extracted factor
was one, as expected and already tested in previous research works, when
using this construct. In addition, the scree plot of the initial run indi-
