purchase intention of consumer.Based on partial least squares structural equation modeling(PLS-SEM Method),this study investigates 762 Chinese consumers and the empirical result shows that:approach motivation can significantly direct affect the purchase intention of green products and consumer innovativeness;...
This paper aims to construct a model that integrates that technology acceptance model (TAM) and functionality-expressiveness-aesthetics (FEA) model to explore the key factors influencing consumers' smart clothing purchase intentions (PIs). Partial least squares structural equat...
by higher education institutions were identified and tested using SmartPLS software, a powerful statistical analysis tool for structural equation modeling. Three... AAN Tashkandi,IM Al-Jabri - 《Cluster Computing》 被引量: 29发表: 2015年 Green product purchase intention: impact of green brands, at...
Transaction cost is the main factor to influence consumers' purchase intent.This paper builds research hypothesis of influential factors of consumers` purchase intent online retail industry on the basis of literature review about related research,using the methodology of PLS-SEM with the data from ques...
“SmartPLS is becoming the state of the art PLS-SEM software. Packed with useful features and easy to use interface it enables me to be more focused on research rather than the tool employed. It comes with a fair price model, securing future development and support. With both a Windows an...
progressively concentrates on customer value creation during the purchase process (Nafees et al.2021). Moreover, in the context of s-commerce, customer co-created value is determined by the online interaction, which subsequently influences user stickiness during the purchase process (Qu et al.,2023...
aged between 17 and 30. By supplementing the PLS-SEM analysis with accuracy scores resulting from classification-based machine learning (ML) algorithms, we explore the mediating effect of PR in the pre-purchase stage and its moderating effect in the post-purchase intention to engage. Our findings...
5.1. Stage 1— PLS-SEM PLS-SEM was conducted using the SmartPLS software. The PLS algorithm was implemented in three steps: (i) assessing path coefficients and the predictive accuracy of the composites; (ii) evaluating the predictive relevance of the structural model using blindfolding and PLS...
Fig. 1. PLS-SEM results for the simple corporate reputation example. Note: circles = constructs; rectangles = indicators; values on the path relationships = standardized coefficients with bootstrap p values in brackets; values in the circles = R2values. ...
As a result, PLS-SEM has become extensively utilized as a data analysis tool in social science empirical analysis research [86]. We believe that PLS-SEM is well-suited for testing the research model in this study. Hence, we employed the SmartPLS software as our tool. 4.4.2. QCA approach...