Page 248 - Hojnik, Jana. 2017. In Persuit of Eco-innovation. Drivers and Consequences of Eco-innovation at Firm Level. Koper: University of Primorska Press
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In Pursuit of Eco-innovation

tween latent variables and observed variables and the relationships among
multiple latent variables simultaneously.

The resulting process eco-innovation model with estimated relation-
ships (standardized solution) is depicted in Figure 27. The model shows
a moderate fit to the data (NFI = 0.766; NNFI = 0.852; CFI = 0.863;
SRMR = 0.213; RMSEA = 0.075).

248

Figure 27: Process eco-innovation model (standardized solution)
Note: Chi-square = 1902.195 (922 df ); p = 0.00; Goodness-of-fit indexes: NFI = 0.766; NNFI
= 0.852; CFI = 0.863; SRMR = 0.213; RMSEA = 0.075; Reliability coefficients: Cronbach’s alp-
ha = 0.939; RHO = 0.948.

We also tested hypotheses concerning determinants and consequenc-
es for process eco-innovation. The results of testing our hypotheses are
depicted in Figure 27. We will first focus on the hypotheses pertaining to
the determinants of process eco-innovation and then on the hypotheses
that pertain to the consequences of process eco-innovation.
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