Page 269 - Hojnik, Jana. 2017. In Persuit of Eco-innovation. Drivers and Consequences of Eco-innovation at Firm Level. Koper: University of Primorska Press
P. 269
Eco-innovation models

Table 90: Results of Correlations between latent variables

MC EB CCI EII CD CP PD PC OR CB ECB GR PF INT 269

MC 1

EB 0.56* 1

CCI 0.26* 0.22* 1
EII 0.24* 0.30* 0.21* 1
CD 0.38* 0.40* 0.54* 0.19* 1
CP 0.46* 0.47* 0.38* 0.30* 0.49* 1
PD 0.37* 0.40* 0.41* 0.31* 0.51* 0.59* 1
PC 0.44* 0.22* 0.47* 0.22* 0.51* 0.55* 0.79* 1
OR 0.45* 0.42* 0.39* 0.31* 0.47* 0.73* 0.66* 0.69* 1
CB 0.28* 0.29* 0.36* 0.18* 0.45* 0.49* 0.41* 0.49* 0.56* 1
ECB 0.39* 0.47* 0.30* 0.23* 0.49* 0.57* 0.47* 0.48* 0.65* 0.68* 1
GR 0.08* 0.06* -0.36* -0.06* -0.11* -0.08* -0.21* -0.17* -0.08* -0.07* 0.13* 1
PF 0.06* 0.07* -0.12* 0.05* -0.02* -0.02* 0.01* 0.05* 0.06* -0.04* 0.26* 0.38* 1
INT 0.08* 0.13* 0.29* -0.04* 0.37* 0.04* 0.25* 0.16* 0.18* 0.20* 0.26* -0.08* -0.17* 1

Note: MC = managerial environmental concern; EB = expected benefits; CCI = the
command-and-control instrument; EII = the economic incentive instrument; CD = custo-
mer demand; CP = competitive pressure; PD = product eco-innovation; PC = process eco-
-innovation; OR = organizational eco-innovation; CB = competitive benefits; ECB = eco-
nomic benefits; GR = growth (company performance); PF = profitability (company perfor-
mance); INT = internationalization.

The expanded construct-level model of eco-innovation (path analysis)
In order to analyze the hypothesized relationships between determinants
and outomes of eco-innovation construct, a new, expanded construct-lev-
el model of eco-innovation was designed. In this model, eco-innovation
was presented as a second-order latent factor, defined by the underlying
dimensions, which are product, process and organizational eco-innova-
tion.

All construct dimensions were assessed using exploratory and con-
firmatory factor analyses in previous sections. We also present a construct
validity for the expanded eco-innovation model with its determinants
and consequences (see Section 8.4.1). Reliability statistics for all con-
struct dimensions were good (over 0.70), as were the goodness-of-fit meas-
ures, which indicated an acceptable model fit for all constructs (except for
company growth). In this section, we use structural equation modeling
   264   265   266   267   268   269   270   271   272   273   274