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, Vol. 28 No. 2) – presents a case study, which illustrates how to identify and treat unobserved heterogeneity in PLS-SEM using the finite mixture PLS (FIMIX-PLS) module in the SmartPLS 3 software. Design/methodology/approach: The paper merges literatures from various disciplines, such as management information systems, marketing and statistics, to present a state-of-the-art review of FIMIX-PLS. Based on this review, the paper offers guidelines on how to apply t...
Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structur...
When applying multivariate analysis techniques in information systems and social science disciplines...
When applying structural equation modeling methods, such as partial least squares (PLS) path modelin...
Purpose – Part I of this article (European Business Review, Volume 28, Issue 1) offered an overview...
Purpose – Part I of this article (European Business Review, Volume 28, Issue 1) offered an overview ...
Applications of the partial least squares (PLS) path modeling technique are usually based on the ass...
A large proportion of information systems research is concerned with developing and testing models p...
A large proportion of information systems research is concerned with developing and testing models p...
A large proportion of information systems research is concerned with developing and testing models p...
Partial least squares-based path modeling with latent variables is a methodology that allows to esti...
An approach for capturing unobserved customer heterogeneity in structural equation mod-eling is prop...
This is the peer reviewed version of the following article: Giuseppe Lamberti, Aluja, T., G. S. The ...
In wide range of applications for empirical data analysis, the assumption that data is collected fro...
This paper extends Festge and Schwaiger's (2007) model of customer satisfaction with industrial good...
Abstract When applying structural equation modeling methods, such as partial least squares (PLS) pat...
Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structur...
When applying multivariate analysis techniques in information systems and social science disciplines...
When applying structural equation modeling methods, such as partial least squares (PLS) path modelin...
Purpose – Part I of this article (European Business Review, Volume 28, Issue 1) offered an overview...
Purpose – Part I of this article (European Business Review, Volume 28, Issue 1) offered an overview ...
Applications of the partial least squares (PLS) path modeling technique are usually based on the ass...
A large proportion of information systems research is concerned with developing and testing models p...
A large proportion of information systems research is concerned with developing and testing models p...
A large proportion of information systems research is concerned with developing and testing models p...
Partial least squares-based path modeling with latent variables is a methodology that allows to esti...
An approach for capturing unobserved customer heterogeneity in structural equation mod-eling is prop...
This is the peer reviewed version of the following article: Giuseppe Lamberti, Aluja, T., G. S. The ...
In wide range of applications for empirical data analysis, the assumption that data is collected fro...
This paper extends Festge and Schwaiger's (2007) model of customer satisfaction with industrial good...
Abstract When applying structural equation modeling methods, such as partial least squares (PLS) pat...
Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structur...
When applying multivariate analysis techniques in information systems and social science disciplines...
When applying structural equation modeling methods, such as partial least squares (PLS) path modelin...