Page 270 - 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

to test all relationships between latent variables and observed variables as
well as the relationships among multiple latent variables simultaneously.

The resulting eco-innovation model with estimated relationships
(standardized solution) is depicted in Figure 29. The model shows a mod-
erate fit to the data (NFI = 0.755; NNFI = 0.857; CFI = 0.865; SRMR
= 0.202; RMSEA = 0.070); specifically, NFI and SRMR show poor fit,
while NNFI and CFI show acceptable fit and RMSEA shows good fit.

270

Figure 29: The expanded construct-level model of eco-innovation (standardized solution)
Note: Chi-square = 2671.593 (1401 df ); p = 0.00; Goodness-of-fit indexes: NFI = 0.755; NNFI
= 0.857; CFI = 0.865; SRMR = 0.202; RMSEA = 0.070; Reliability coefficients: Cronbach’s alp-
ha = 0.958; RHO = 0.967.

In the expanded construct-level model of eco-innovation, we tested
hypotheses related to determinants and consequences of eco-innovation
(testing eco-innovation as a second-order latent construct, including the
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