Essec\Faculty\Model\Contribution {#2233 ▼
#_index: "academ_contributions"
#_id: "6034"
#_source: array:26 [
"id" => "6034"
"slug" => "6034-fuzzy-pls-path-modeling-for-latent-class-analysis-capturing-unobserved-heterogeneity-in-consumers-preference 
6034-fuzzy-pls-path-modeling-for-latent-class-analysis-capturing-unobserved-heterogeneity-in-consume "
"yearMonth" => "2007-08"
"year" => "2007"
"title" => "Fuzzy PLS Path Modeling for Latent Class Analysis: Capturing Unobserved Heterogeneity in Consumers' Preference Fuzzy PLS Path Modeling for Latent Class Analysis: Capturing Unobserved Heterogeneity in Consumers' "
"description" => "ESPOSITO VINZI, V., ROMANO, R. et TRINCHERA, L. (2007). Fuzzy PLS Path Modeling for Latent Class Analysis: Capturing Unobserved Heterogeneity in Consumers' Preference. ESPOSITO VINZI, V., ROMANO, R. et TRINCHERA, L. (2007). Fuzzy PLS Path Modeling for Latent Class Ana "
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "ROMANO R."
]
2 => array:1 [
"name" => "TRINCHERA L."
]
]
"ouvrage" => ""
"keywords" => array:1 [
0 => "Customer Satisfaction"
]
"updatedAt" => "2021-04-19 17:57:25"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => null
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Communications dans une conférence"
"en" => "Presentations at an Academic or Professional conference"
]
"support_type" => array:2 [
"fr" => null
"en" => null
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "PLS Path Modeling represents a useful tool to model consumer's preferences. Nevertheless, the definition of a unique model for all the consumers may hide differences in their behaviour. Hence, models accounting for such heterogeneity afford more efficient strategies. Unobserved heterogeneity among statistical units requires to look for latent classes as well as to estimate local models. In the present work, a new method is proposed to overcome a few shortcomings of the already existing methods, such as the strong normality assumption on latent variables in the case of finite mixture models, or the lack of an optimizing criterion in the Typological approach. The goal will be achieved combining fuzzy approach to PLS Path Modeling and PLS-TPM. As a matter of fact, the fuzzy approach embeds residual information inside the model coefficients (expressed as intervals) thus permitting to search for latent classes by referring to the fuzziness of coefficients. PLS Path Modeling represents a useful tool to model consumer's preferences. Nevertheless, the defin "
"en" => "PLS Path Modeling represents a useful tool to model consumer's preferences. Nevertheless, the definition of a unique model for all the consumers may hide differences in their behaviour. Hence, models accounting for such heterogeneity afford more efficient strategies. Unobserved heterogeneity among statistical units requires to look for latent classes as well as to estimate local models. In the present work, a new method is proposed to overcome a few shortcomings of the already existing methods, such as the strong normality assumption on latent variables in the case of finite mixture models, or the lack of an optimizing criterion in the Typological approach. The goal will be achieved combining fuzzy approach to PLS Path Modeling and PLS-TPM. As a matter of fact, the fuzzy approach embeds residual information inside the model coefficients (expressed as intervals) thus permitting to search for latent classes by referring to the fuzziness of coefficients. PLS Path Modeling represents a useful tool to model consumer's preferences. Nevertheless, the defin "
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2025-04-01T11:21:46.000Z"
"docTitle" => "Fuzzy PLS Path Modeling for Latent Class Analysis: Capturing Unobserved Heterogeneity in Consumers' Preference Fuzzy PLS Path Modeling for Latent Class Analysis: Capturing Unobserved Heterogeneity in Consumers' "
"docSurtitle" => "Communications dans une conférence"
"authorNames" => "<a href="/cv/esposito-vinzi-vincenzo">ESPOSITO VINZI Vincenzo</a>, ROMANO R., TRINCHERA L."
"docDescription" => "<span class="document-property-authors">ESPOSITO VINZI Vincenzo, ROMANO R., TRINCHERA L.</span><br><span class="document-property-authors_fields">Systèmes d'Information, Data Analytics et Opérations</span> | <span class="document-property-year">2007</span> <span class="document-property-authors">ESPOSITO VINZI Vincenzo, ROMANO R., TRINCHERA L.</span><br>< "
"keywordList" => "<a href="#">Customer Satisfaction</a>"
"docPreview" => "<b>Fuzzy PLS Path Modeling for Latent Class Analysis: Capturing Unobserved Heterogeneity in Consumers' Preference</b><br><span>2007-08 | Communications dans une conférence </span> <b>Fuzzy PLS Path Modeling for Latent Class Analysis: Capturing Unobserved Heterogeneity in Consumer "
"docType" => "research"
"publicationLink" => "<a href="#" target="_blank">Fuzzy PLS Path Modeling for Latent Class Analysis: Capturing Unobserved Heterogeneity in Consumers' Preference</a> <a href="#" target="_blank">Fuzzy PLS Path Modeling for Latent Class Analysis: Capturing Unobserved "
]
+lang: "fr"
+"_type": "_doc"
+"_score": 9.047115
+"parent": null
}
