Structural model robustness checks in PLS-SEM

Sarstedt, Marko ; Ringle, Christian M. ; Cheah, Jun-Hwa ; Ting, Hiram ; Moisescu, Ovidiu I. und Radomir, Lăcrămioara (2020): Structural model robustness checks in PLS-SEM. In: Tourism Economics, Vol. 26, No. 4: pp. 531-554

Abstract

Partial least squares structural equation modeling (PLS-SEM) has become a standard tool for analyzing complex inter-relationships between observed and latent variables in tourism and numerous other fields of scientific inquiry. Along with the recent surge in the method’s use, research has contributed several complementary methods for assessing the robustness of PLS-SEM results. Although these improvements are documented in extant literature, research on tourism has been slow to adopt the relevant complementary methods. This article illustrates the use of recent advances in PLS-SEM, designed to ensure structural model results’ robustness in terms of nonlinear effects, endogeneity, and unobserved heterogeneity in a PLS-SEM framework. Our overarching aim is to encourage the routine use of these complementary methods to increase methodological rigor in the field.

• Item Type: Journal article
• Form of publication: Publisher's Version
• Keywords: Partial least squares structural equation modeling (PLS-SEM); tourism
• Faculties: Munich School of Management > Institute for Marketing
• Subjects: 300 Social sciences > 330 Economics
• ISSN: 1354-8166
• Language: English