Gudergan, Siegfried P., Moisescu, Ovidiu I., Radomir, Lăcrămioara, Ringle, Christian M., and Sarstedt, Marko (2025) Special issue editorial: Advanced partial least squares structural equation modeling (PLS-SEM) applications in business research. Journal of Business Research, 188. 115087.

Preview

PDF (Published Version) - Published Version Available under License Creative Commons Attribution Non-commercial. Download (1MB) | Preview

Abstract

This special issue comprises a series of advanced applications of and methodological developments concerning PLS-SEM in business research. PLS-SEM,1 introduced by Wold, 1975, Wold, 1982 and Lohmöller (1989), models the structural relationships between constructs (i.e., the latent variables) as empirical approximations of theoretical concepts. Each construct is operationalized by a measurement model with a set of indicators (i.e., observed variables). The PLS-SEM method estimates the entire model with the aim of maximizing the explained variance of the dependent constructs in the structural model and of the indicators in the constructs’ measurement models (Lohmöller, 1989, Wold, 1982).2

Item ID:	84903
Item Type:	Article (Research - C1)
ISSN:	1873-7978
Related URLs:	https://www.scopus.com/inward/record.uri...
Copyright Information:	© 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/bync/4.0/).
Date Deposited:	18 Mar 2025 02:37
Downloads:	Total: 3 Last 12 Months: 3
	More Statistics