2023
DOI: 10.1007/s00003-023-01443-y
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Young consumers’ food waste reduction behaviour in a developing nation: extending the theory of planned behaviour

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Cited by 3 publications
(3 citation statements)
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“…The concept allows analysis with data that are not normally distributed, small sample sizes, exploratory studies, and formative measurements (Zeng et al, 2021). This analysis method is also considered flexible enough to predict relationships from the model construction (Gokarn et al, 2023). Therefore, PLS-SEM is considered suitable for estimating the influence of the seven exogenous latent variables observed on the endogenous latent variable (Table 1).…”
Section: Discussionmentioning
confidence: 99%
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“…The concept allows analysis with data that are not normally distributed, small sample sizes, exploratory studies, and formative measurements (Zeng et al, 2021). This analysis method is also considered flexible enough to predict relationships from the model construction (Gokarn et al, 2023). Therefore, PLS-SEM is considered suitable for estimating the influence of the seven exogenous latent variables observed on the endogenous latent variable (Table 1).…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, PLS-SEM is considered suitable for estimating the influence of the seven exogenous latent variables observed on the endogenous latent variable (Table 1). The data analysis process is carried out in two stages; namely, the first stage is measuring the model (outer model) to measure the relationship between latent variables and the indicators, and the second stage is analyzing the model structure (inner model) to test the hypothesis of the relationship between the observed endogenous and exogenous latent variables (Gokarn et al, 2023). The model framework was built based on a literature review and was adapted to the study objectives, as in Figure 3.…”
Section: Discussionmentioning
confidence: 99%
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