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 …

Partial least squares structural equation modeling (PLS-SEM) has become a key
multivariate analysis technique that human resource management (HRM) researchers …

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 …

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 …

The importance of big data and predictive analytics has been at the forefront of research for
operations and manufacturing management. The literature has reported the influence of big …

There is a great expectation that Industry 4.0 technologies will enable better circular
economy (CE) results at firms. However, it is unclear how these technologies might …

Purpose Structural equation modeling (SEM) depicts one of the most salient research
methods across a variety of disciplines, including hospitality management. Although for …

Structural equation modeling, often referred to as SEM, is a well‐established, covariance‐
based multivariate method used in Human Resource Development (HRD) quantitative …

The purpose of this study is to identify how Procurement 4.0 and digital transformations are
related and how digital transformation impacts the intention to optimize the procurement …

Composite-based structural equation modeling (SEM), and especially partial least squares
path modeling (PLS), has gained increasing dissemination in marketing. To fully exploit the …