Page 177 - Hojnik, Jana. 2017. In Persuit of Eco-innovation. Drivers and Consequences of Eco-innovation at Firm Level. Koper: University of Primorska Press
P. 177
Results

Statistical information of the construct of competitive intensity, per-
taining to reliability (reliability coefficients) and convergence (goodness-
of-fit model indexes) based on the overall sample (N= 223), is indicated in
the Figure 11. The construct of competitive intensity showed acceptable
reliability (Cronbach’s alpha = 0.621), while the goodness-of-fit indexes
showed excellent fit (NFI = 1.000; NNFI = 1.040; CFI = 1.000; SRMR
= 0.001 and RMSEA = 0.000).

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Figure 11: Diagram of construct Competitive intensity with the standardized solution
Note: Measurement items: Q5A = Competition in our industry is cutthroat; Q5B = Anything
that one competitor can offer, others can match readily; Q5C = Price competition is a hallmark
of our industry; Chi-square = 0.001; p = 0.979; Goodness-of-fit indexes: NFI = 1.000; NNFI =
1.040; CFI = 1.000; SRMR = 0.001; RMSEA = 0.000; Reliability coefficients: Cronbach’s alpha
= 0.621; RHO = 0.626; Internal consistency reliability = 0.656.

Further, a confirmatory factor analysis was also conducted for the
construct of competitive pressure in order to validate the findings of
the exploratory factor analysis, which resulted in one factor composed
of three items. This has also been confirmed by the confirmatory factor
analysis. The eco-innovation determinant competitive pressure compris-
es three items. All the coefficients were found to be positive, high and sig-
nificant, and they are indicated in Table 43 and Figure 12.
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