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Examining a Supply-Side Predictive Model in Tourism using Partial Least Squares Path Modeling

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dc.contributor.author Assaker, Guy
dc.contributor.author Hallak, Rob
dc.date.accessioned 2016-05-09T07:03:52Z
dc.date.available 2016-05-09T07:03:52Z
dc.date.copyright 2012 en_US
dc.identifier.issn 1083-5423 en_US
dc.identifier.uri http://hdl.handle.net/10725/3720
dc.description.abstract This study examines the predictive relationships between tourism supply factors and tourism demand. Based on data from 154 countries, partial least squares path modeling (PLSPM) was used to test a predictive model that examines causal relationships among the environment, economy, infrastructure, and tourism demand at the aggregate country level. The results suggest that the latent economy variable (operationalized in this study as a formative, rather than a reflective, construct) has a positive, indirect effect on tourism demand. This relationship is mediated by the infrastructure and the environment, which in turn have a positive, direct effect on tourism demand, respectively. Results from this study support the operationlization of the "economy" construct as a formative construct where consumer price index (CPI), purchasing power parity (PPP), foreign direct investment (FDI), trade (TRA), and industry value added (IVA) all "form" the latent economy variable. Tourism demand, however, is a "reflective" latent construct represented by international tourist arrivals (TA) and international tourist receipts (TEXP). Thus, this predictive model presents a number of theoretical and practical contributions. First, this research expands existing theories on tourism demand by presenting a more accurate predictive model that examines the casual relationships among the economy, infrastructure, environment, and tourism. Second, understanding these complex relationships provides destination managers with an analytical framework on how certain factors can strengthen tourism demand for the destination. en_US
dc.language.iso en en_US
dc.title Examining a Supply-Side Predictive Model in Tourism using Partial Least Squares Path Modeling en_US
dc.type Article en_US
dc.description.version Published en_US
dc.title.subtitle An Empirical Analysis at the Country Aggregate Level 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 Tourism Analysis en_US
dc.journal.volume 17 en_US
dc.journal.issue 5
dc.article.pages 587-599 en_US
dc.keywords Formative constructs en_US
dc.keywords Partial least squares path modeling (PLSM) en_US
dc.keywords Predictive relationships en_US
dc.keywords Tourism demand modeling en_US
dc.identifier.doi http://dx.doi.org/10.3727/108354212X13485873913840 en_US
dc.identifier.ctation Assaker, G., & Hallak, R. (2012). Examining a Supply-Side Predictive Model in Tourism Using Partial Least Squares Path Modeling: An Empirical Analysis at the Country Aggregate Level. Tourism Analysis, 17(5), 587-599. 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 www.ingentaconnect.com/content/cog/ta/2012/00000017/00000005/art00003 en_US


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