Structural model robustness checks in PLS-SEM

By Marko Sarstedt, Christian M. Ringle, Jun-Hwa (Jacky) Cheah, Hiram Ting, O. Moisescu, Lăcrămioara Radomir. Tourism Economics, 2020

1,187 citations recorded by the source corpus.

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.

Subfields: Marketing, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/ab49fac53e909588e04ef6258e9a4486dc396241

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Citations in the corpus

Impact of digital Sharia banking systems on cash-waqf among Indonesian Muslim youth (2021, neutral): “PLS-SEM is commonly used in social science research, especially in the ﬁ elds of marketing, strategic management, management information systems, accounting, hospitality and tourism (Sarstedt et al. , 2019).”
Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2020, methodology): “Additionally, Franke and Sarstedt (2019) recently recommended additional significance testing that includes confidence intervals to further assess HTMT ratios and discriminant validity.”
Multigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research (2020, neutral): “, 2020), the endogeneity test in PLS (Hult et al., 2018; Sarstedt et al., 2020), PLSpredict (Shmueli et al.”
How entrepreneurial SMEs compete through digital platforms: The roles of digital platform capability, network capability and ambidexterity (2019, methodology): “We studied the effects of digital platform capability on entrepreneurial SMEs' performance using partial least squares structural equation modeling (PLS-SEM; Hair, Hult, Ringle, & Sarstedt, 2016; Richter, Cepeda, Roldán, & Ringle, 2016; Rigdon, 2012, 2016; Sarstedt et al., 2019).”
When to use and how to report the results of PLS-SEM (2019, background): “In terms of the structural model, Sarstedt et al. (2019) suggest that researchers should consider nonlinear effects, endogeneity and unobserved heterogeneity.”