Page 193 - Hojnik, Jana. 2017. In Persuit of Eco-innovation. Drivers and Consequences of Eco-innovation at Firm Level. Koper: University of Primorska Press
P. 193
Results
Factors
Items Product & Process Organizational
eco-innovation eco-innovation
Organizational eco-innovation (OR)
Our firm management often communicates eco-innovation in- -1.003 193
formation with employees. -0.952
-0.856
Our firm management often actively engages in eco-innovation -0.852
activities. -0.831
-0.736
Our firm management often invests a high ratio of R&D in
eco-innovation.
Our firm management often collects information on eco-inno-
vation trends.
Our firm management often communicates experiences among
various departments involved in eco-innovation.
Our firm management often uses novel systems to manage
eco-innovation.
N = 2234
Extraction Method: Maximum Likelihood
Rotation Method: Oblimin with Kaiser Normalization (absolute factor loadings equal or
higher than 0.20 displayed)
Bartlett’s test of sphericity: Chi-square = 3297.073; 120 df; sig. = 0.000
Kaiser-Meyer-Olkin measure of sample adequacy = 0.933
Variance explained = 66.326
According to the theory, a three-factor solution was expected. There-
fore, we again conducted an exploratory factor analysis by prior deter-
mination of three expected factors (product, process and organizational
eco-innovation). We fixed the number of extracted factors to three. The
exploratory factor analysis was conducted by using the overall sample (all
223 observations) and by employing statistical package SPSS. The meth-
od of extraction in the exploratory analysis was the Maximum Likeli-
hood Method, while the selected rotation was Direct Oblimin rotation,
which assumes that different factors are related.
The Bartlett’s test of sphericity, which statistically tests for the pres-
ence of correlations among the underlying variables, showed that the cor-
relation matrix has significant correlations (p < 0.05). Furthermore, the
Kaiser-Meyer-Olkin measure of sampling adequacy was 0.933, which in-
dicates an excellent sample adequacy.
The number of extracted factors was three, as previously determined.
In addition, the scree plot of the initial run indicated three factors as an
appropriate number, explaining 70.513% of variance. After consideration
Factors
Items Product & Process Organizational
eco-innovation eco-innovation
Organizational eco-innovation (OR)
Our firm management often communicates eco-innovation in- -1.003 193
formation with employees. -0.952
-0.856
Our firm management often actively engages in eco-innovation -0.852
activities. -0.831
-0.736
Our firm management often invests a high ratio of R&D in
eco-innovation.
Our firm management often collects information on eco-inno-
vation trends.
Our firm management often communicates experiences among
various departments involved in eco-innovation.
Our firm management often uses novel systems to manage
eco-innovation.
N = 2234
Extraction Method: Maximum Likelihood
Rotation Method: Oblimin with Kaiser Normalization (absolute factor loadings equal or
higher than 0.20 displayed)
Bartlett’s test of sphericity: Chi-square = 3297.073; 120 df; sig. = 0.000
Kaiser-Meyer-Olkin measure of sample adequacy = 0.933
Variance explained = 66.326
According to the theory, a three-factor solution was expected. There-
fore, we again conducted an exploratory factor analysis by prior deter-
mination of three expected factors (product, process and organizational
eco-innovation). We fixed the number of extracted factors to three. The
exploratory factor analysis was conducted by using the overall sample (all
223 observations) and by employing statistical package SPSS. The meth-
od of extraction in the exploratory analysis was the Maximum Likeli-
hood Method, while the selected rotation was Direct Oblimin rotation,
which assumes that different factors are related.
The Bartlett’s test of sphericity, which statistically tests for the pres-
ence of correlations among the underlying variables, showed that the cor-
relation matrix has significant correlations (p < 0.05). Furthermore, the
Kaiser-Meyer-Olkin measure of sampling adequacy was 0.933, which in-
dicates an excellent sample adequacy.
The number of extracted factors was three, as previously determined.
In addition, the scree plot of the initial run indicated three factors as an
appropriate number, explaining 70.513% of variance. After consideration
