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Table 1.

Summary of the literature on the participation of consumers, employees, and firms in green logistics.

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Table 1 Expand

Table 2.

Demographic profile of the CEP services consuming respondents (N = 155).

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Table 2 Expand

Table 3.

KMO and Bartlett’s test of sphericity.

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Table 4.

Result of EFA.

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Table 5.

Goodness-of-model fit indices.

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Fig 1.

The validated model of this study.

EFA and CFA are used to validate the model.

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Fig 1 Expand

Fig 2.

Descriptive statistics.

Factor scores (values) are calculated by averaging the values of variables that belong to the same factor. This is a more accurate approach, compared to using the actual factor scores (z-scores) generated [67], because the mean of z-scores is zero and the standard deviation is 1. The mean scores correlate perfectly with the actual factor scores, without suffering from the weaknesses of the latter [67].

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Fig 3.

Skewness and kurtosis.

*Zero-centred kurtosis is estimated by deducting a value of three from the usual kurtosis that has a normal distribution value of 3.

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Fig 4.

Pearson correlation analysis of the independent variables and latent factors versus the dependent variable.

The correlation is significant at the α = 0.01 level (one- and two-tailed).

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Fig 4 Expand

Table 6.

Model fit statistics for multinomial regression.

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Table 6 Expand

Fig 5.

Multinomial regression analysis results.

The figure depicts the Exp (B) odds of selection. The vertical columns classify customers based on their degree of willingness (the dependent variable), while the horizontal rows categorise the items according to latent factors. Corporate strategy’s maximum odd value under the operational factor has been re-scaled for comparison purposes.

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