The most fundamental problem currently associated with structural equation modeling employing the partial least squares method is that it does not properly account for measurement error, which often leads to path coefficient estimates that asymptotically converge to values of lower magnitude...

E-collaboration researchers usually employ P values for hypothesis testing, a common practice in a variety of other fields. This is also customary in many methodological contexts, such as analyses of path models with or without latent variables, as well as simpler tests that can be seen as...

Recent methodological developments building on partial least squares (PLS) techniques and related ideas have significantly contributed to bridging the gap between factor-based and composite-based structural equation modeling (SEM) methods. PLS-SEM is extensively used in the field of...

This article explores the influence of social, self, and use factors on the intention to perform social computing actions in online social sites. A survey was conducted using peer-to-peer file sharing as representative of a social computing action. Collected data was analyzed using the...

Path models with and without latent variables are extensively used in e-collaboration research. Both direct and moderating relationships can be included in such path models. Moderating relationships involve three latent variables, the moderating variable and a pair of variables that are...

Among latent variables that can be used in e-collaboration research, job performance is a particularly important one. It measures what most e-collaboration tools in organizations aim to improve, namely the performance at work of individuals executing tasks collaboratively with others. The...

Purpose – The purpose of this paper is to provide an overview of unobserved heterogeneity in the context of partial least squares structural equation modeling (PLS-SEM), its prevalence and challenges for social science researchers. Part II – in the next issue ( European Business Review ,...

Purpose Part I of this article ( European Business Review , Volume 28, Issue 1) offered an overview of unobserved heterogeneity in the context of partial least squares structural equation modeling (PLS-SEM), its prevalence and challenges for social sciences researchers. This paper aims to...

Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview of recent research on the method across various fields. Design/methodology/approach – In this...

Purpose – Prior studies by Salaheldin (2009) and Talib et al. (2011) have assessed the relationships between TQM critical success factors (CSF) and business results. The purpose of this paper is to build upon this research by considering the relationships between these CSFs and their...