Partial least squares path modelling (PLSPM)

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dc.contributor.author Assaker, Guy
dc.contributor.author Hallak, Rob
dc.contributor.author O'Connor, Peter
dc.contributor.author Vinzi, Vincenzo Esposit
dc.date.accessioned 2017-04-11T11:11:47Z
dc.date.available 2017-04-11T11:11:47Z
dc.date.copyright 2013 en_US
dc.date.issued 2017-04-11
dc.identifier.issn 1302-8545‎ en_US
dc.identifier.uri http://hdl.handle.net/10725/5534 en_US
dc.description.abstract The use of partial least squares path modelling (PLSPM) has escalated in the areas of marketing, management, information systems, and organizational behaviour. Researchers in tourism and hospitality have to date been reluctant to use this approach, instead, focusing on covariance-based structural equation modelling (CBSEM) techniques conducted in Lisrel or AMOS. This article highlights the main differences between CBSEM and PLSPM and describes the advantages of PLSPM with regard to (1) testing theories and analyzing structural relationships among latent constructs; (2) dealing with sample size limitations and non-normal data; (3) analyzing complex models that have 'formative' and 'reflective' latent constructs; and (4) analyzing models with higher-order molar and molecular constructs. These advantages are put into practice using examples from a tourism context. The paper demonstrates the application of PLSPM in the case of destination competitiveness, and illustrates how this approach could enhance the theoretical and practical usefulness of tourism modelling. This paper also presents a step-by -step guide to PLSPM analysis, providing directions for future research designs in tourism. This presents valuable knowledge for researchers, editors, and reviewers with recommendations, rules of thumb, and corresponding references for appropriately applying and assessing structural models en_US
dc.language.iso en en_US
dc.title Partial least squares path modelling (PLSPM) en_US
dc.type Article en_US
dc.description.version Published en_US
dc.title.subtitle a new direction for research in tourism and hospitality en_US
dc.author.school SOB en_US
dc.author.idnumber 199635060 en_US
dc.author.department Department of Hospitality Management and Marketing (HMKT) en_US
dc.description.embargo N/A en_US
dc.relation.journal Journal of Travel and Tourism Research (Online) en_US
dc.journal.volume 13 en_US
dc.journal.issue 2-Jan en_US
dc.article.pages 158-179 en_US
dc.keywords Quantitative methods en_US
dc.keywords Structural equation modelling en_US
dc.keywords Partial least squares en_US
dc.keywords Tourism en_US
dc.keywords Romative indicators en_US
dc.identifier.ctation Assaker, G., Hallak, R., O'Connor, P., & Vinzi, V. E. (2013). Partial Least Squares Path Modelling (PLSPM): A New Direction for Research in Tourism and Hospitality. Journal of Travel and Tourism Research (Online), 13(1/2), 158. en_US
dc.author.email guy.assaker@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://search.proquest.com/docview/1508765275?pq-origsite=gscholar en_US
dc.author.affiliation Lebanese American University en_US

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