Page 243 - Hojnik, Jana. 2017. In Persuit of Eco-innovation. Drivers and Consequences of Eco-innovation at Firm Level. Koper: University of Primorska Press
P. 243
Eco-innovation models 243

Construct validity of process eco-innovation model
All measurement items and values of Cronbach’s alpha are reported in
Table 84. Content validity for the survey instrument is supported by the
literature, in-depth interviews with environmental managers and a pi-
lot test. A Confirmatory Factor Analysis (CFA) model using EQS 6.1
is estimated to assess the construct validity. In the model, each item is
linked to its corresponding construct with freely estimated covariance.
The model fit indexes are as follows: Chi-square = 1475.364; df = 879;
NFI = 0.818; NNFI = 0.906; CFI = 0.916; RMSEA = 0.060; SRMR =
0.060, which suggests that the measurement model is acceptable. In addi-
tion, the Cronbach’s alpha is 0.939, while the reliability coefficient RHO
is 0.978.

Table 84: Measurement model of latent variables and Cronbach’s alpha for latent variables

Complete- Cronbach’s alpha
(for construct Growth is
Measurement items ly standard- p Composite AVE
ized load- reliability given correlation)

ing 0.836

Managerial environmental concern (MC) 0.914

1a Eco-innovation is an im- 0.63
portant component of the
company’s environmental
management strategy.

1b Most eco-innovations are 0.83 *
worthwhile. 0.81 0.856 0.60

1c Eco-innovation is nec- *
essary to achieve high lev-
els of environmental per-
formance.

1d Eco-innovation is an ef- 0.81 *
fective environmental man-
agement strategy.

Expected benefits (EB)

2b To improve profitability. 0.77

2c To increase productivity. 0.79 *

2d To increase market share. 0.89 * 0.923 0.67

2e To enter new markets. 0.83 *

2g To strengthen the brand. 0.76 *

2h Competitive advantage. 0.85 *
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