Extending a tourism causality network model
This study provides insights into a powerful statistical technique to test model invariance across multiple groups. In doing so, it provides insights for policymakers and contributes to the literature on tourism demand forecasting by validating and extending previous results on how supply-side facto...
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| Format: | article |
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2011
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| Online Access: | http://hdl.handle.net/10725/3716 http://dx.doi.org/10.1177/1467358411418815 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://thr.sagepub.com/content/11/4/258.short |
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| _version_ | 1864513462067003392 |
|---|---|
| author | Assaker, Guy |
| author2 | Vinzi, Vincenzo Esposito O'Connor, Peter |
| author2_role | author author |
| author_facet | Assaker, Guy Vinzi, Vincenzo Esposito O'Connor, Peter |
| author_role | author |
| dc.creator.none.fl_str_mv | Assaker, Guy Vinzi, Vincenzo Esposito O'Connor, Peter |
| dc.date.none.fl_str_mv | 2011 2016-05-09T06:07:18Z 2016-05-09T06:07:18Z 2016-05-09 |
| dc.identifier.none.fl_str_mv | 1467-3584 http://hdl.handle.net/10725/3716 http://dx.doi.org/10.1177/1467358411418815 Assaker, G., Vinzi, V. E., & O’Connor, P. (2011). Extending a tourism causality network model: A cross-country, multigroup empirical analysis. Tourism and Hospitality Research, 11(4), 258-277. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://thr.sagepub.com/content/11/4/258.short |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Tourism and Hospitality Research |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Extending a tourism causality network model A cross-country, multigroup empirical analysis |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | This study provides insights into a powerful statistical technique to test model invariance across multiple groups. In doing so, it provides insights for policymakers and contributes to the literature on tourism demand forecasting by validating and extending previous results on how supply-side factors influence tourism demand. Specifically, this study considered an a priori validated structural model for relationships among the economy, society, environment and tourism constructs in 162 countries, examining the extent to which the model was invariant across two groups of isolated observations: developed and less-developed countries. Upon testing, the a priori model did not replicate across both groups. Instead a reduced model, incorporating the society, environment and tourism constructs only was used to compare and test for variances in parameters across the two groups using multigroup analysis sampling in AMOS 16.0. The results indicated that path coefficients were equal across groups. A positive relationship existed between the society and environment constructs, while a similar positive significant relationship existed between the society and environment constructs from one side and tourism, respectively. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | LAURepo_77111449676cf0b793982d2b07a13694 |
| identifier_str_mv | 1467-3584 Assaker, G., Vinzi, V. E., & O’Connor, P. (2011). Extending a tourism causality network model: A cross-country, multigroup empirical analysis. Tourism and Hospitality Research, 11(4), 258-277. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/3716 |
| publishDate | 2011 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Extending a tourism causality network modelA cross-country, multigroup empirical analysisAssaker, GuyVinzi, Vincenzo EspositoO'Connor, PeterThis study provides insights into a powerful statistical technique to test model invariance across multiple groups. In doing so, it provides insights for policymakers and contributes to the literature on tourism demand forecasting by validating and extending previous results on how supply-side factors influence tourism demand. Specifically, this study considered an a priori validated structural model for relationships among the economy, society, environment and tourism constructs in 162 countries, examining the extent to which the model was invariant across two groups of isolated observations: developed and less-developed countries. Upon testing, the a priori model did not replicate across both groups. Instead a reduced model, incorporating the society, environment and tourism constructs only was used to compare and test for variances in parameters across the two groups using multigroup analysis sampling in AMOS 16.0. The results indicated that path coefficients were equal across groups. A positive relationship existed between the society and environment constructs, while a similar positive significant relationship existed between the society and environment constructs from one side and tourism, respectively.PublishedN/A2016-05-09T06:07:18Z2016-05-09T06:07:18Z20112016-05-09Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1467-3584http://hdl.handle.net/10725/3716http://dx.doi.org/10.1177/1467358411418815Assaker, G., Vinzi, V. E., & O’Connor, P. (2011). Extending a tourism causality network model: A cross-country, multigroup empirical analysis. Tourism and Hospitality Research, 11(4), 258-277.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://thr.sagepub.com/content/11/4/258.shortenTourism and Hospitality Researchinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/37162021-03-19T09:10:06Z |
| spellingShingle | Extending a tourism causality network model Assaker, Guy |
| status_str | publishedVersion |
| title | Extending a tourism causality network model |
| title_full | Extending a tourism causality network model |
| title_fullStr | Extending a tourism causality network model |
| title_full_unstemmed | Extending a tourism causality network model |
| title_short | Extending a tourism causality network model |
| title_sort | Extending a tourism causality network model |
| url | http://hdl.handle.net/10725/3716 http://dx.doi.org/10.1177/1467358411418815 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://thr.sagepub.com/content/11/4/258.short |