Page 202 - Hojnik, Jana. 2017. In Persuit of Eco-innovation. Drivers and Consequences of Eco-innovation at Firm Level. Koper: University of Primorska Press
P. 202
Pursuit of Eco-innovation
Our firm management often communicates eco-innovation information Standard. coeff. R-square
with employees. 0.92 0.85
0.87 0.76
Our firm management often invests a high ratio of R&D in eco-innovation.
0.79
Our firm management often communicates experiences among various de- 0.89
partments involved in eco-innovation.
Note: Standard. coeff. = Standardized coefficients; R-square = Coefficient of Determinati-
on.
Lastly, the model reliability, variance statistics and inter-dimension-
al correlations are indicated in Table 58. All dimensions demonstrated
good composite reliability (over the threshold of 0.70). The average var-
202 iance extracted was also good, over the threshold of 0.50. Correlations
among dimensions ranged from 0.65 to 0.79, implying convergence. We
can see that the correlations are high among all three dimensions. The
lowest correlation was estimated at 0.65 between product eco-innovation
and organizational eco-innovation, while process eco-innovation and or-
ganizational eco-innovation correlated a bit higher (0.68). The highest
correlation (0.79) is between product eco-innovation and process eco-in-
novation.
Table 58: Eco-innovation construct convergent and discriminant validity
Overall model* Correlations
CR AVE Product eco-inno- Process eco-inno- Organizational
vation vation eco-innovation
Product eco-innovation 0.878 0.65 1 0.79* 0.65*
Process eco-innovation 0.916 0.69 0.79* 1 0.68*
Organizational eco-inno- 0.956 0.78 0.65* 0.68* 1
vation
Note: CR = composite reliability; AVE = average variance extracted; * Goodness of fit in-
dexes: NFI = 0.928; NNFI = 0.945; CFI = 0.954; SRMR = 0.044; RMSEA = 0.086.
Multidimensionality of the eco-innovation construct was also tested
by comparing the relative contributions of the two models. The first mod-
el includes only one common eco-innovation first-order factor (the one
common factor model) and is based on the assumption of the unidimen-
sionality of the eco-innovation construct. The second model (eco-innova-
Our firm management often communicates eco-innovation information Standard. coeff. R-square
with employees. 0.92 0.85
0.87 0.76
Our firm management often invests a high ratio of R&D in eco-innovation.
0.79
Our firm management often communicates experiences among various de- 0.89
partments involved in eco-innovation.
Note: Standard. coeff. = Standardized coefficients; R-square = Coefficient of Determinati-
on.
Lastly, the model reliability, variance statistics and inter-dimension-
al correlations are indicated in Table 58. All dimensions demonstrated
good composite reliability (over the threshold of 0.70). The average var-
202 iance extracted was also good, over the threshold of 0.50. Correlations
among dimensions ranged from 0.65 to 0.79, implying convergence. We
can see that the correlations are high among all three dimensions. The
lowest correlation was estimated at 0.65 between product eco-innovation
and organizational eco-innovation, while process eco-innovation and or-
ganizational eco-innovation correlated a bit higher (0.68). The highest
correlation (0.79) is between product eco-innovation and process eco-in-
novation.
Table 58: Eco-innovation construct convergent and discriminant validity
Overall model* Correlations
CR AVE Product eco-inno- Process eco-inno- Organizational
vation vation eco-innovation
Product eco-innovation 0.878 0.65 1 0.79* 0.65*
Process eco-innovation 0.916 0.69 0.79* 1 0.68*
Organizational eco-inno- 0.956 0.78 0.65* 0.68* 1
vation
Note: CR = composite reliability; AVE = average variance extracted; * Goodness of fit in-
dexes: NFI = 0.928; NNFI = 0.945; CFI = 0.954; SRMR = 0.044; RMSEA = 0.086.
Multidimensionality of the eco-innovation construct was also tested
by comparing the relative contributions of the two models. The first mod-
el includes only one common eco-innovation first-order factor (the one
common factor model) and is based on the assumption of the unidimen-
sionality of the eco-innovation construct. The second model (eco-innova-
