Page 197 - Hojnik, Jana. 2017. In Persuit of Eco-innovation. Drivers and Consequences of Eco-innovation at Firm Level. Koper: University of Primorska Press
P. 197
Results
Factors
Items Process eco-inno- Product eco-inno- Organizational
eco-innovation
vation vation
-0.988
The company is improving and designing en- 0.293 0.350 -0.953
vironmentally friendly packaging (e.g., using -0.862
less paper and plastic materials) for existing and -0.857
new products. -0.816
-0.756
Organizational eco-innovation (OR)
Our firm management often communicates
eco-innovation information with employees.
Our firm management often actively engages
in eco-innovation activities.
Our firm management often collects informa- 197
tion on eco-innovation trends.
Our firm management often invests a high ra-
tio of R&D in eco-innovation.
Our firm management often communicates
experiences among various departments in-
volved in eco-innovation.
Our firm management often uses novel systems
to manage eco-innovation.
N = 223
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 = 3109.220; 105 df; sig. = 0.000
Kaiser-Meyer-Olkin measure of sample adequacy = 0.936
Variance explained = 71.981
In order to validate the findings of both solutions given by the ex-
ploratory factor analyses, pertaining to the two-factor and three-factor
solutions, we conducted a confirmatory factor analysis, through which
we examine the convergence of the eco-innovation dimensions. The mod-
el with two factors (product & process eco-innovation as one factor, or-
ganizational eco-innovation) showed worse goodness-of-fit indexes (NFI
= 0.882; NNFI = 0.890; CFI = 0.907; SRMR = 0.050; RMSEA = 0.121)
and the Cronbach’s alpha was 0.952. The standardized coefficients were
all positive, high (above 0.50) and statistically significant. Correlation be-
tween the two dimensions was estimated at 0.72.
In addition, we have conducted a confirmatory factor analysis to ex-
amine the convergence of the eco-innovation dimensions, with three di-
mensions as would be supposed and expected according to the theory.
Factors
Items Process eco-inno- Product eco-inno- Organizational
eco-innovation
vation vation
-0.988
The company is improving and designing en- 0.293 0.350 -0.953
vironmentally friendly packaging (e.g., using -0.862
less paper and plastic materials) for existing and -0.857
new products. -0.816
-0.756
Organizational eco-innovation (OR)
Our firm management often communicates
eco-innovation information with employees.
Our firm management often actively engages
in eco-innovation activities.
Our firm management often collects informa- 197
tion on eco-innovation trends.
Our firm management often invests a high ra-
tio of R&D in eco-innovation.
Our firm management often communicates
experiences among various departments in-
volved in eco-innovation.
Our firm management often uses novel systems
to manage eco-innovation.
N = 223
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 = 3109.220; 105 df; sig. = 0.000
Kaiser-Meyer-Olkin measure of sample adequacy = 0.936
Variance explained = 71.981
In order to validate the findings of both solutions given by the ex-
ploratory factor analyses, pertaining to the two-factor and three-factor
solutions, we conducted a confirmatory factor analysis, through which
we examine the convergence of the eco-innovation dimensions. The mod-
el with two factors (product & process eco-innovation as one factor, or-
ganizational eco-innovation) showed worse goodness-of-fit indexes (NFI
= 0.882; NNFI = 0.890; CFI = 0.907; SRMR = 0.050; RMSEA = 0.121)
and the Cronbach’s alpha was 0.952. The standardized coefficients were
all positive, high (above 0.50) and statistically significant. Correlation be-
tween the two dimensions was estimated at 0.72.
In addition, we have conducted a confirmatory factor analysis to ex-
amine the convergence of the eco-innovation dimensions, with three di-
mensions as would be supposed and expected according to the theory.
