Citation
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.
Download File
Full text not available from this repository.
Official URL or Download Paper: https://journals.sagepub.com/doi/10.1177/135481661...
|
Additional Metadata
Item Type: | Article |
---|---|
Divisions: | School of Business and Economics |
DOI Number: | https://doi.org/10.1177/1354816618823921 |
Publisher: | Sage Publications |
Keywords: | Endogeneity; FIMIX-PLS; Nonlinear; Partial least squares; PLS-SEM; Robustness checks; Structural equation modeling |
Depositing User: | Nurul Ainie Mokhtar |
Date Deposited: | 28 Nov 2023 03:09 |
Last Modified: | 28 Nov 2023 03:09 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1177/1354816618823921 |
URI: | http://psasir.upm.edu.my/id/eprint/85944 |
Statistic Details: | View Download Statistic |
Actions (login required)
![]() |
View Item |