Purpose The purpose of this paper is to provide a comprehensive, yet concise, overview of
the considerations and metrics required for partial least squares structural equation …

Every discipline needs to frequently review the use of multivariate analysis methods to
ensure rigorous research and publications. Even though partial least squares structural …

Most of the scientific literature recognizes a positive impact of Information and
Communication Technologies (ICT) on economic growth. In contrast, different investigations …

Partial least squares structural equation modeling (PLS-SEM) has become a popular
method for estimating path models with latent variables and their relationships. A common …

Commonly used discrete choice model analyses (eg, probit, logit and multinomial logit
models) draw on the estimation of importance weights that apply to different attribute levels …

Purpose The purpose of this paper is to introduce the importance-performance map analysis
(IPMA) and explain how to use it in the context of partial least squares structural equation …

Discussions concerning different structural equation modeling methods draw on an
increasing array of concepts and related terminology. As a consequence, misconceptions …

To estimate structural equation models, researchers can draw on two main approaches:
Covariance-based structural equation modeling (CB-SEM) and partial least squares …

Today, there is heightened controversy about the value of partial least squares (PLS) path
modeling as a quantitative research method, including within the domain of European …

This editorial discusses the employment of partial least squares structural equation
modeling applications in the European management context from a strategy and marketing …