Page 261 - Hojnik, Jana. 2017. In Persuit of Eco-innovation. Drivers and Consequences of Eco-innovation at Firm Level. Koper: University of Primorska Press
P. 261
Eco-innovation models 261

Construct validity for the expanded construct-level model of eco-
innovation
All measurement items and the values of Cronbach’s alpha are reported
in Tables 88 and 89. Content validity for the survey instrument is sup-
ported by the literature, in-depth interviews with environmental manag-
ers and a pilot test. A Confirmatory Factor Analysis (CFA) model is esti-
mated to assess the construct validity. In the model, each item is linked to
its corresponding construct with freely estimated covariance. The mod-
el fit indexes are as follows: Chi-square = 2230.569; df = 1339; NFI =
0.795; NNFI = 0.895; CFI = 0.905; RMSEA = 0.060; SRMR = 0.062,
suggesting that the measurement model is acceptable. In addition, the
Cronbach’s alpha is 0.958, while the reliability coefficient RHO is 0.984.
Table 88 depicts Cronbach’s alpha values for all measurement items. It in-
dicates that all constructs (with the exception of the construct company
growth) demonstrate good reliability (over the threshold of 0.70).

Table 88: Measurement items and Cronbach’s alpha for latent variables

Measurement items Cronbach’s alpha
(for construct Growth is given
Managerial environmental concern
correlation)
1a Eco-innovation is an important component of the company’s environmental
management strategy. 0.836
1b Most eco-innovations are worthwhile.
1c Eco-innovation is necessary to achieve high levels of environmental perfor- 0.914
mance.
1d Eco-innovation is an effective environmental management strategy.

Expected benefits

2b To improve profitability.
2c To increase productivity.
2d To increase market share.
2e To enter new markets.
2g To strengthen the brand.
2h Competitive advantage.
   256   257   258   259   260   261   262   263   264   265   266