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An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ali, Faizan Rasoolimanesh, S. Mostafa Sarstedt, Marko Ringle, Christian M. Ryu, Kisang |
| Copyright Year | 2017 |
| Abstract | Purpose Structural equation modeling (SEM) depicts one of the most salient research methods across a variety of disciplines, including hospitality management. While 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. We 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. As PLS-SEM in hospitality research is still in an early stage of development, critically examining its use holds considerable promise in order to counteract misapplications which otherwise might reinforce over time. Design/methodology/approach We reviewed all PLS-SEM studies published in six SSCI-indexed hospitality management journals between 2001 and 2015. Tying in with prior studies in the field, our review covers reasons for usin. |
| Starting Page | 514 |
| Ending Page | 538 |
| Page Count | 25 |
| File Format | PDF HTM / HTML |
| DOI | 10.1108/IJCHM-10-2016-0568 |
| Volume Number | 30 |
| Alternate Webpage(s) | https://www.emerald.com/insight/content/doi/10.1108/IJCHM-10-2016-0568/full/pdf?title=an-assessment-of-the-use-of-partial-least-squares-structural-equation-modeling-pls-sem-in-hospitality-research |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
