A Hybrid Analysis of Consumer Preference for Domestic Products: Combining PLS-SEM and ANN Approaches

Mkedder, Nadjim; Bakır, Mahmut

doi:10.1080/08911762.2023.2236583

Cited by 4 publications

(2 citation statements)

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“…, 2022; Liu et al. , 2023; Mkedder and Bakır, 2023). It allows the non-normality assumption in the analysis (Dijkstra and Henseler, 2015).…”

Section: Introductionmentioning

confidence: 99%

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How washing behaviors influence GHG emissions in textile use phase: a PLS-SEM analysis of household washing behaviors in Shanghai

Qiu,

Liang,

Wang

et al. 2024

IJCST

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PurposeThis paper explores what factors influence household textile washing behaviour and how these factors relate to greenhouse gas emissions during the textile use stage.Design/methodology/approachA questionnaire survey related to textile summer washing and care behavior was conducted among households in 16 administrative districts of Shanghai. This study used the modified Consumer Lifestyle Approach framework of the washing and care ecosystem. The research hypotheses were established by selecting related factors from four aspects: household demographic characteristics, economy and consumption characteristics, washing machines and detergents characteristics.FindingsFirst, we have demonstrated how some course factors do not significantly affect greenhouse emissions. None of the demographics, detergent-related activities, economy and consumption constructs significantly affect greenhouse emissions. Second, we have identified that washing machine and related activities has a direct positive effect on GHG emissions. The washing machine is not only the de facto carrier of all washing activities but also the core of washing activities. Washing machine is crucial in reducing greenhouse emissions and adjusting consumer behaviors.Originality/valueThis paper conducts a study related to the washing and care behavior of households in Shanghai. The paper examines the factors influencing household washing behavior and the relationship between these factors and greenhouse gas emissions during the textile use phase.

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“…, 2022; Liu et al. , 2023; Mkedder and Bakır, 2023). It allows the non-normality assumption in the analysis (Dijkstra and Henseler, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…One of them is the unnormalization of the consumer's activities. The Partial Least Squares Structural Equation Modeling (PLS-SEM) is widely used to study consumer behaviors (De Fano et al, 2022;Liu et al, 2023;Mkedder and Bakır, 2023). It allows the non-normality assumption in the analysis (Dijkstra and Henseler, 2015).…”

Section: Introductionmentioning

confidence: 99%