An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research

• Published in: International journal of contemporary hospitality management 2018-01, Vol.30 (1), p.514-538
• Main Authors: Ali, Faizan, Rasoolimanesh, S. Mostafa, Sarstedt, Marko, Ringle, Christian M, Ryu, Kisang
• Format: Article
• Language: English
• Subjects: Hospitality industry; Literature reviews; Multivariate analysis; Research methodology; Researchers; Sample size; Social sciences; Statistical analysis; Strategic management; Structural equation modeling; Studies; Tourism
• ISSN: 0959-6119; 1757-1049
• DOI: 10.1108/IJCHM-10-2016-0568

Purpose Structural equation modeling (SEM) depicts one of the most salient research methods across a variety of disciplines, including hospitality management. Although for many researchers, SEM is equivalent to carrying out covariance-based SEM, recent research advocates the use of partial least squares structural equation modeling (PLS-SEM) as an attractive alternative. The purpose of this paper is to systematically examine how PLS-SEM has been applied in major hospitality research journals with the aim of providing important guidance and, if necessary, opportunities for realignment in future applications. Because PLS-SEM in hospitality research is still in an early stage of development, critically examining its use holds considerable promise to counteract misapplications which otherwise might reinforce over time. Design/methodology/approach All PLS-SEM studies published in the six SSCI-indexed hospitality management journals between 2001 and 2015 were reviewed. Tying in with the prior studies in the field, the review covers reasons for using PLS-SEM, data characteristics, model characteristics, the evaluation of the measurement models, the evaluation of the structural model, reporting and use of advanced analyses. Findings Compared to other fields, the results show that several reporting practices are clearly above standard but still leave room for improvement, particularly regarding the consideration of state-of-the art metrics for measurement and structural model assessment. Furthermore, hospitality researchers seem to be unaware of the recent extensions of the PLS-SEM method, which clearly extend the scope of the analyses and help gaining more insights from the model and the data. As a result of this PLS-SEM application review in studies, this research presents guidelines on how to accurately use the method. These guidelines are important for the hospitality management and other disciplines to disseminate and ensure the rigor of PLS-SEM analyses and reporting practices. Research limitations/implications Only articles published in the SSCI-indexed hospitality journals were examined and any journals indexed in other databases were not included. That is, while this research focused on the top-tier hospitality management journals, future research may widen the scope by considering hospitality management-related studies from other disciplines, such as tourism research or general management. Originality/value This study contributes to the literature by prov