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Cited by 388

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Using Partial Least Squares Structural Equation Modeling in Tourism Research: A Review of Past Research and Recommendations for Future Applications

do Valle, Patrícia Oom, Assaker, Guy·2016·Journal of Travel Research

Abstract

Although the number of empirical applications of partial least–squares structural equation modeling (PLS-SEM) in tourism has increased in the last two years, Assaker, Huang, and Hallak have conducted the only assessment on the use of PLS-SEM in four studies and with a limited number of criteria. Thus, this study aims to critically analyze how the PLS-SEM method has been applied in 44 articles published in 11 leading tourism journals from 2000 to 2014 in terms of four key criteria: (1) themes explored and main motivations for using PLS-SEM; (2) characteristics of proposed models; (3) how the models were evaluated; and (4) the use of more advanced analyses within the method. The findings revealed that although applications in tourism have improved in recent years, problematic aspects in the application of PLS-SEM in tourism research still exist. The article provides suggestions on how to improve the use of PLS-SEM in future tourism applications.

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Metadata

Authors
do Valle, P. O., & Assaker, G.
Venue
Journal of Travel Research
Published
2015-02-23
Volume
55
Issue
6
Pages
695-708
ISSN
  • 0047-2875 (ISSN-L)
  • 1552-6763
OpenAlex
W1970571431
Cited by
388
References
6
FWCI
29.93
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.