Page 196 - Hojnik, Jana. 2017. In Persuit of Eco-innovation. Drivers and Consequences of Eco-innovation at Firm Level. Koper: University of Primorska Press
P. 196
Pursuit of Eco-innovation
als (i.e., using environmentally friendly material)”. The extraction meth-
od remained Maximum Likelihood and the rotation Direct Oblimin,
and we also determined the number of factors to be extracted as three.
This time, the KMO value was 0.936, and the Bartlett’s test of spheric-
ity demonstrated significant correlations (p < 0.05). The number of ex-
tracted factors was three, as previously determined. In addition, the scree
plot of the initial run indicated three factors as an appropriate number,
explaining 71.981% of variance. After consideration of each item’s com-
munality index and its contribution, we retained all the items (the lowest
communality after extraction was 0.395).
Table 55: The eco-innovation dimension’s item factor loadings
196 Factors
Items
Process eco-inno- Product eco-inno- Organizational
vation vation eco-innovation
Process eco-innovation (PC)
The manufacturing process of the company ef- 1.016
fectively reduces the emission of hazardous 0.902
substances or waste. 0.738
The manufacturing process of the company re- 0.731
duces the use of raw materials. 0.598
Use of cleaner technology to generate sav-
ings and prevent pollution (such as energy, wa-
ter and waste).
Low energy consumption such as water, elec-
tricity, gas and petrol during production/use/
disposal.
Recycle, reuse and remanufacture material.
Product eco-innovation (PD)
The company uses the smallest amount of ma- 0.940
terials to comprise the product for conducting 0.847
the product development or design.
0.701
The company chooses materials of the product
that consume the least amount of energy and
resources for conducting the product develop-
ment or design.
The company deliberately evaluates wheth-
er the product is easy to recycle, reuse and de-
compose for conducting the product develop-
ment or design.
als (i.e., using environmentally friendly material)”. The extraction meth-
od remained Maximum Likelihood and the rotation Direct Oblimin,
and we also determined the number of factors to be extracted as three.
This time, the KMO value was 0.936, and the Bartlett’s test of spheric-
ity demonstrated significant correlations (p < 0.05). The number of ex-
tracted factors was three, as previously determined. In addition, the scree
plot of the initial run indicated three factors as an appropriate number,
explaining 71.981% of variance. After consideration of each item’s com-
munality index and its contribution, we retained all the items (the lowest
communality after extraction was 0.395).
Table 55: The eco-innovation dimension’s item factor loadings
196 Factors
Items
Process eco-inno- Product eco-inno- Organizational
vation vation eco-innovation
Process eco-innovation (PC)
The manufacturing process of the company ef- 1.016
fectively reduces the emission of hazardous 0.902
substances or waste. 0.738
The manufacturing process of the company re- 0.731
duces the use of raw materials. 0.598
Use of cleaner technology to generate sav-
ings and prevent pollution (such as energy, wa-
ter and waste).
Low energy consumption such as water, elec-
tricity, gas and petrol during production/use/
disposal.
Recycle, reuse and remanufacture material.
Product eco-innovation (PD)
The company uses the smallest amount of ma- 0.940
terials to comprise the product for conducting 0.847
the product development or design.
0.701
The company chooses materials of the product
that consume the least amount of energy and
resources for conducting the product develop-
ment or design.
The company deliberately evaluates wheth-
er the product is easy to recycle, reuse and de-
compose for conducting the product develop-
ment or design.
