[HTML][HTML] Improving PLS-SEM use for business marketing research
P Guenther, M Guenther, CM Ringle… - Industrial Marketing …, 2023 - Elsevier
A review of studies published in Industrial Marketing Management over the past two
decades and more shows that these studies not only used partial least squares structural …
decades and more shows that these studies not only used partial least squares structural …
[PDF][PDF] PLS-SEM statistical programs: a review
Partial least squares structural equation modeling (PLS-SEM) is one of the most widely used
methods of multivariate data analysis. Although previous research has discussed different …
methods of multivariate data analysis. Although previous research has discussed different …
Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example
Partial least squares structural equation modeling (PLS-SEM) is an alternative method to the
historically more commonly used covariance-based SEM (CB-SEM) when analyzing the …
historically more commonly used covariance-based SEM (CB-SEM) when analyzing the …
Progress in partial least squares structural equation modeling use in marketing research in the last decade
Partial least squares structural equation modeling (PLS‐SEM) is an essential element of
marketing researchers' methodological toolbox. During the last decade, the PLS‐SEM field …
marketing researchers' methodological toolbox. During the last decade, the PLS‐SEM field …
[HTML][HTML] CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting
This study compares the two widely used methods of Structural Equation Modeling (SEM):
Covariance based Structural Equation Modeling (CB-SEM) and Partial Least Squares based …
Covariance based Structural Equation Modeling (CB-SEM) and Partial Least Squares based …
Predictive model assessment and selection in composite-based modeling using PLS-SEM: extensions and guidelines for using CVPAT
Purpose Researchers often stress the predictive goals of their partial least squares structural
equation modeling (PLS-SEM) analyses. However, the method has long lacked a statistical …
equation modeling (PLS-SEM) analyses. However, the method has long lacked a statistical …
[HTML][HTML] Understanding influencer marketing: The role of congruence between influencers, products and consumers
Influencers increasingly provide sources of information and innovation to followers.
Grounded in balance, cognitive dissonance, and congruity theories, the current article …
Grounded in balance, cognitive dissonance, and congruity theories, the current article …
[HTML][HTML] Dynamic capabilities and innovation ambidexterity: The roles of intellectual capital and innovation orientation
Previous research has highlighted the importance of firms engaging in innovation
ambidexterity through balancing exploiting existing offerings with exploring new …
ambidexterity through balancing exploiting existing offerings with exploring new …
[HTML][HTML] Impulse buying tendency in live-stream commerce: The role of viewing frequency and anticipated emotions influencing scarcity-induced purchase decision
Y Qu, J Khan, Y Su, J Tong, S Zhao - Journal of Retailing and Consumer …, 2023 - Elsevier
Despite the prevalence of scarcity-induced sales promotion in live commerce, scholarly
inquiry began to address impulsive buying recently. This research traces live-stream …
inquiry began to address impulsive buying recently. This research traces live-stream …
Can supply chain risk management practices mitigate the disruption impacts on supply chains' resilience and robustness? Evidence from an empirical survey in a …
This study investigates the role of supply chain risk management (SCRM) in mitigating the
effects of disruptions impacts on supply chain resilience and robustness in the context of …
effects of disruptions impacts on supply chain resilience and robustness in the context of …