We propose a routine for combining partial least squares-structural equation modeling (PLS-
SEM) with selected machine learning (ML) algorithms to exploit the two method's causal …

Since trading has been transformed into online platforms, marketing strategies have
adapted to digital systems in order to enhance the Customer Relationship Management …

Since the beginning of the 21st century, supply chains have witnessed rapid and significant
changes along with considerable developments due to the convergence between …

Machine learning and clickstream data analysis together have become a game-changing
method for improving e-commerce systems. In the context of e-commerce, this study offers a …

Much has been researched and written on the implications of information technology (IT).
This is particularly relevant in an environment where IT is indispensable as never before …

We propose a novel method to analyze clickstream data that can assist E-commerce
retailers with marketing precision based on a better understanding of customer intentions …

Today's businesses rely heavily on focused marketing to improve their chances of growing
and keeping their consumer base. Internet behemoths like Google and Facebook have …

This paper explores users' two different decision-making styles, maximizers and satisficers,
in the context of human-computer interactions. Maximizers are those individuals who go …

Based on the ACSI model, this paper constructs the latent variables such as perceived
experimental teaching quality, perceived value of experimental teaching and experimental …

The perception of a destination's image significantly enhances tourist satisfaction and fosters
loyalty. Positive emotions are indicative of a more enjoyable holiday. Research indicates …