Essec\Faculty\Model\Profile {#2233
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0 => Essec\Faculty\Model\CareerItem {#2376
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3 => Essec\Faculty\Model\CareerItem {#2379
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4 => Essec\Faculty\Model\CareerItem {#2380
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"fr" => "République tchèque"
"en" => "Czechia"
]
]
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5 => Essec\Faculty\Model\CareerItem {#2381
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6 => Essec\Faculty\Model\CareerItem {#2382
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0 => Essec\Faculty\Model\Diplome {#2235
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#_id: null
#_source: array:6 [
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1 => Essec\Faculty\Model\Diplome {#2237
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"bio" => array:2 [
"fr" => """
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Vincenzo Vinzi possède un doctorat en statistique et informatique de l'Université Federico II de Naples. </span><span style="background-color:transparent; color:rgb(34, 34, 34)">Il fut professeur de statistique à l'Université Federico II jusqu'en 2007, professeur invité et conférencier dans nombreuses universités et centres de recherche à travers l'Europe, les Etats-Unis et l’Asie.</span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Vincenzo Vinzi est aujourd'hui directeur général de l'ESSEC Business School.</span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Il est l’auteur d’environ 80 articles scientifiques publiés dans les revues internationales, rédacteur associé de revues internationales correspondant à ses domaines de recherche ainsi que rédacteur en chef et coauteur d’ouvrages spécialisés publiés par des maisons d’éditions internationales comme Wiley et Springer.</span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Il a été le lauréat du “Teaching Awards 2005” Pierre Vernimmen - BNP Paribas (catégorie Professeurs visitants) à HEC Paris. Deux de ses publications ont reçu le “Top Cited Article 2005-2010 Award” dans la revue internationale Computational Statistics and Data Analysis publiée par Elsevier.</span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Vincenzo Vinzi a été président de la Société Internationale de la Statistique pour l’Industrie et le Business (ISBIS), du Conseil européen de l'Association Internationale pour la Statistique et l’Informatique (IASC). Il est actuellement membre du conseil de l’ISI (Institut International de Statistique) et de l’IFCS (International Federation of Classification Societies).</span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Vincenzo Vinzi siège aussi aux conseils d’administration de l'Ecole CentraleSupélec, de l'Alliance Française Paris Ile de France (AFPIF), de l’AmCham et de l’Ecole. </span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Il est également membre de l'International Advisory Board de la Solvay Business School, </span><span style="color:rgb(34, 34, 34)">d’ Antai College of Economics and Management, de Shanghai Jiao Tong University et de </span><span style="background-color:transparent; color:rgb(34, 34, 34)">l'International Advisory Council de l'Université Pompeu Fabra - Barcelona School of Management. Il est membre d’honneur du board de France Digitale.</span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">Il fait partie des équipes d'évaluation d'EQUIS et de l'AACSB dont il est aussi président du conseil consultatif européen. A compter du 1er juillet 2024 il sert un mandat d’un an en tant que membre du “</span><span style="color:rgb(34, 34, 34)">Business Accreditation Policy Committee” de l’AACSB. </span><span style="background-color:transparent; color:rgb(34, 34, 34)">Il est aussi membre du programme "Business for Inclusive Growth" (B4IG) de l’OCDE. </span></p>\n
\n
<p dir="ltr" style="margin-right:-14.3pt"><span style="background-color:transparent; color:rgb(34, 34, 34)">En mars 2024, il a été réélu pour un second mandat en tant que Vice-Président de la Conférence des Directeurs d'Ecoles Françaises de Management (CDEFM) avant d’en devenir Président par intérim en juillet 2024. Enfin, Vincenzo Vinzi est président de la Commission Diversité de la CGE et du Concours Sésame.</span></p>\n
"""
"en" => """
<p><span style="color:rgb(34, 34, 34)">Vincenzo Vinzi has been the Dean and President of ESSEC Business School since January </span><span style="color:rgb(34, 34, 34)">2018. </span></p>\n
\n
<p><span style="color:rgb(34, 34, 34)">Born in 1970, he was a professor of statistics at the University of Naples Federico II in Italy </span><span style="color:rgb(34, 34, 34)">and has been a visiting professor and lecturer at several universities and research centers </span><span style="color:rgb(34, 34, 34)">throughout Europe, the United States and Asia. He holds a Doctorate in Computational </span><span style="color:rgb(34, 34, 34)">Statistics from the University of Naples Federico II as well as a Master’s in Business and </span><span style="color:rgb(34, 34, 34)">Economics from the same institution. In 2007 he joined ESSEC as a professor of statistics </span><span style="color:rgb(34, 34, 34)">and was elected Dean of Faculty in December 2011. As the Dean of Academic Affairs, and </span><span style="color:rgb(34, 34, 34)">consequently a member of ESSEC's Executive Committee, he was responsible for the </span><span style="color:rgb(34, 34, 34)">management and development of the faculty. </span></p>\n
\n
<p><span style="color:rgb(34, 34, 34)">Recognized internationally for his expertise, Vinzi is the author of approximately 80 scientific </span><span style="color:rgb(34, 34, 34)">articles that have received more than 19,000 citations, published in international journals on </span><span style="color:rgb(34, 34, 34)">topics ranging from Big Data to Business Analytics. </span></p>\n
\n
<p><span style="color:rgb(34, 34, 34)">Between 2012 and 2015, Vincenzo Vinzi </span><span style="color:rgb(34, 34, 34)">served as President of the International Society of Business and Industrial Statistics (ISBIS). </span></p>\n
\n
<p><span style="color:rgb(34, 34, 34)">Mr. Vinzi sits on several Boards of Directors : CentraleSupélec Engineering School, the </span><span style="color:rgb(34, 34, 34)">Alliance Française Ile-de-France Paris (AFPIF), the American Chamber of Commerce in </span><span style="color:rgb(34, 34, 34)">France, the Conférence des Grandes Ecoles (CGE) and l’Ecole.</span></p>\n
\n
<p><span style="color:rgb(34, 34, 34)">He is a member of the International Advisory Board of Solvay Business School and Antai </span><span style="color:rgb(34, 34, 34)">College of Economics and Management, Shanghai Jiao Tong University. He is also a member </span><span style="color:rgb(34, 34, 34)">of the International Advisory Council of Universitat Pompeu Fabra - Barcelona School of </span><span style="color:rgb(34, 34, 34)">Management and he is honorary member of the board of France Digitale.</span></p>\n
\n
<p><span style="color:rgb(34, 34, 34)">Professor Vinzi serves as a member of the EQUIS and AACSB peer review teams and he is </span><span style="color:rgb(34, 34, 34)">chair of the AACSB European Advisory Council. Since July 1, 2024 he has been serving a </span><span style="color:rgb(34, 34, 34)">one-year term on the Business Accreditation Policy Committee (BAPC) of the AACSB.</span></p>\n
\n
<p><span style="color:rgb(34, 34, 34)">He is also a member of the OECD Business for Inclusive Growth (B4IG) partnership. Finally, </span><span style="color:rgb(34, 34, 34)">he is president of the Diversity Commission of the CGE and of Concours Sésame, a </span><span style="color:rgb(34, 34, 34)">competitive entrance exam for French business school undergraduate programs, as well as </span><span style="color:rgb(34, 34, 34)">acting President of the CDEFM (Conference of Directors of French Business Schools).</span></p>\n
"""
]
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"industrrySectors" => array:2 [
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"en" => "Telecommunication Services - Hospitality and Tourism Services - Agricultural and Food Products"
]
"researchFields" => array:2 [
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"distinctions" => array:8 [
0 => Essec\Faculty\Model\Distinction {#2383
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1 => Essec\Faculty\Model\Distinction {#2384
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#_id: null
#_source: array:6 [
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"fr" => "Highly Commended Award Winner au Literati Network Awards for Excellence 2012, pour l'article (avec Guy Assaker) intitulé, “Modeling a Causality Network for Tourism Development: An Empirical Analysis” publié dans Journal of Modelling in Management."
"en" => "Literati Network Award for Excellence 2012: Highly Commended Award, for the article “Modeling a Causality Network for Tourism Development: An Empirical Analysis,” Journal of Modelling in Management (co-authored with Guy Assaker)"
]
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}
2 => Essec\Faculty\Model\Distinction {#2385
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#_id: null
#_source: array:6 [
"date" => "2005-06-07"
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"fr" => "Lauréat du prix de l'enseignement "Pierre Vernimmen-BNP Paris Teaching Awards" 2005 à HEC School of Management pour la qualité de la relation pédagogique avec les élèves ( programmes MBA et Doctorants), la méthode d'enseignement, la maîtrise des sujets enseignés, des qualités innovatives de leurs cours et de la qualités des outils d'enseignement utilisés"
"en" => "Winner of the "Pierre Vernimmen-BNP Paris Teaching Awards" 2005 at the HEC School of Management for the quality of the pedagogical relationships with students (MBA and Doctoral programmes), the teaching method, the mastery of the taught subjects, the innovative features of the course and the quality of the used teaching tools"
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+"parent": Essec\Faculty\Model\Profile {#2233}
}
3 => Essec\Faculty\Model\Distinction {#2386
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#_id: null
#_source: array:6 [
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"fr" => "Honoré lors de la cérémonie des prix de l'enseignement "Pierre Vernimmen-BNP Paris" 2001 à HEC School of Management"
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]
]
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}
4 => Essec\Faculty\Model\Distinction {#2387
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#_id: null
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"fr" => "Prix de l'Article le plus cité 2005-2010. Computational Statistics and Data Analysis. PLS Path Modeling, Elsevier"
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5 => Essec\Faculty\Model\Distinction {#2388
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#_id: null
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"fr" => "Prix ISOSS (Islamic Society of Statistical Sciences) en reconnaissance de sa contribution au développement des sciences statistiques"
"en" => "Decorated with the ISOSS (Islamic Society of Statistical Sciences) Award in recognition of his contribution to the development of statistical sciences"
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]
]
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}
6 => Essec\Faculty\Model\Distinction {#2389
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"fr" => "Article le plus cité (2005-2010) publié dans la revue “Computational Statistics and Data Analysis”: PLS Generalised Linear Regression, Elsevier"
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7 => Essec\Faculty\Model\Distinction {#2390
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#_id: null
#_source: array:6 [
"date" => "2014-05-28"
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"fr" => "Mention honorable, 8th International Conference on Partial Least Squares and Related Methods, pour son article "Quantile PLS Path Modeling" (avec C. Davino)."
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]
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0 => Essec\Faculty\Model\TeachingItem {#2371
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}
1 => Essec\Faculty\Model\TeachingItem {#2320
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"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università degli Studi di Cagliari"
"en" => "Università degli Studi di Cagliari"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
2 => Essec\Faculty\Model\TeachingItem {#2321
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2014"
"endDate" => "2014"
"program" => null
"label" => array:2 [
"fr" => ""Component-based Path Modeling", Tutoriel pour une audience expérimentée à la 7ème Conférence Internationale du ERCIM Working Group on Computational and Methodological Statistics"
"en" => ""Component-based Path Modeling", Tutorial for specialized audience at the 7th International Conference of the ERCIM Working Group on Computational and Methodological Statistics"Component-based Path Modeling", Tutoriel pour une audience expérimentée à la 7ème Conférence Internationale du ERCIM Working Group on Computational and Methodological Statistics"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "European Research Consortium for Informatics and Mathematics (ERCIM)"
"en" => "European Research Consortium for Informatics and Mathematics (ERCIM)"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
3 => Essec\Faculty\Model\TeachingItem {#2370
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2007"
"endDate" => "2014"
"program" => null
"label" => array:2 [
"fr" => "Four essays on novel heuristic algorithms in data mining with applications in healthcare analytics"
"en" => "Four essays on novel heuristic algorithms in data mining with applications in healthcare analytics"
]
"type" => array:2 [
"fr" => "Directeur de thèse"
"en" => "Thesis director"
]
"institution" => array:2 [
"fr" => "ESSEC Business School"
"en" => "ESSEC Business School"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
4 => Essec\Faculty\Model\TeachingItem {#2322
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2012"
"endDate" => "2012"
"program" => null
"label" => array:2 [
"fr" => ""PLS Path Modeling and PLS Regression", Pré-Conférence, PLS 2012 Doctoral Workshop"
"en" => ""PLS Path Modeling and PLS Regression", Pre-Conference PLS 2012 Doctoral Workshop"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "The Sensometric Society"
"en" => "The Sensometric Society"
]
"country" => array:2 [
"fr" => "États-Unis"
"en" => "United States of America"
]
]
+lang: "fr"
}
5 => Essec\Faculty\Model\TeachingItem {#2327
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2012"
"endDate" => "2012"
"program" => null
"label" => array:2 [
"fr" => ""A 3-day Course on PLS Path Modeling: Basic Concepts and Foundations, Advances and Applications". Cours de Formation pour des Chercheurs et Cadres"
"en" => ""A 3-day Course on PLS Path Modeling: Basic Concepts and Foundations, Advances and Applications". Training course for Researchers and Executives"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Association for Information Systems (AIS)"
"en" => "Association for Information Systems (AIS)"
]
"country" => array:2 [
"fr" => "États-Unis"
"en" => "United States of America"
]
]
+lang: "fr"
}
6 => Essec\Faculty\Model\TeachingItem {#2323
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2011"
"endDate" => "2011"
"program" => null
"label" => array:2 [
"fr" => ""PLS Predictive Path Models with applications to Customer Satisfaction Measurement and Sensory Data Analysis", ISBIS Sardegna International Statistics Summer School"
"en" => ""PLS Predictive Path Models with applications to Customer Satisfaction Measurement and Sensory Data Analysis", ISBIS Sardegna International Statistics Summer School"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università degli Studi di Cagliari"
"en" => "Università degli Studi di Cagliari"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
7 => Essec\Faculty\Model\TeachingItem {#2324
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2011"
"endDate" => "2011"
"program" => null
"label" => array:2 [
"fr" => ""Statistical Soft Modeling for Measuring Customer Satisfaction via Composite Indicators", Post-graduate course"
"en" => ""Statistical Soft Modeling for Measuring Customer Satisfaction via Composite Indicators", Post-graduate course"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università degli Studi di Cagliari"
"en" => "Università degli Studi di Cagliari"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
8 => Essec\Faculty\Model\TeachingItem {#2375
#_index: null
#_id: null
#_source: array:7 [
"startDate" => null
"endDate" => "2010"
"program" => null
"label" => array:2 [
"fr" => "Four Essays on the Interface between Marketing and Operations in Supply Chain Management"
"en" => "Four Essays on the Interface between Marketing and Operations in Supply Chain Management"
]
"type" => array:2 [
"fr" => "Membre de jury"
"en" => "Thesis jury member"
]
"institution" => array:2 [
"fr" => "ESSEC Business School"
"en" => "ESSEC Business School"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
9 => Essec\Faculty\Model\TeachingItem {#2325
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2010"
"endDate" => "2010"
"program" => null
"label" => array:2 [
"fr" => ""PLS Path Modeling with XLSTAT-PLSPM", Atelier Pré-Conférence Sensometrics'10"
"en" => ""PLS Path Modeling with XLSTAT-PLSPM", Pre-Conference Sensometrics'10 Workshop"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "The Sensometric Society"
"en" => "The Sensometric Society"
]
"country" => array:2 [
"fr" => "Pays-Bas"
"en" => "Netherlands"
]
]
+lang: "fr"
}
10 => Essec\Faculty\Model\TeachingItem {#2329
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2010"
"program" => null
"label" => array:2 [
"fr" => "“Regression and Analysis of Variance” – Cours de formation pour les cadres juniors et seniors de EUROSTAT (Statistical Office of the European Union)"
"en" => "“Regression and Analysis of Variance” – Training course for the EUROSTAT (Statistical Office of the European Union) junior and senior executives"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Eurostat"
"en" => "Eurostat"
]
"country" => array:2 [
"fr" => "Luxembourg"
"en" => "Luxembourg"
]
]
+lang: "fr"
}
11 => Essec\Faculty\Model\TeachingItem {#2328
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2010"
"program" => null
"label" => array:2 [
"fr" => "“Factor Analysis and Classification” – Cours de formation pour les cadres juniors et seniors de EUROSTAT (Statistical Office of the European Union)"
"en" => "“Factor Analysis and Classification” – Training course for the EUROSTAT (Statistical Office of the European Union) junior and senior executives"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Eurostat"
"en" => "Eurostat"
]
"country" => array:2 [
"fr" => "Luxembourg"
"en" => "Luxembourg"
]
]
+lang: "fr"
}
12 => Essec\Faculty\Model\TeachingItem {#2369
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2006"
"endDate" => "2010"
"program" => null
"label" => array:2 [
"fr" => "Insights into tourism demand and tourism behavior: four papers using multiple perspectives and structural equation modeling"
"en" => "Insights into tourism demand and tourism behavior: four papers using multiple perspectives and structural equation modeling"
]
"type" => array:2 [
"fr" => "Directeur de thèse"
"en" => "Thesis director"
]
"institution" => array:2 [
"fr" => "ESSEC Business School"
"en" => "ESSEC Business School"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
13 => Essec\Faculty\Model\TeachingItem {#2330
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => ""A Joint Partial Least Squares Component-based Approach to Structural Equation Modeling and Multi-block Data Analysis" - Institut de Recherche Mathématique Avancée, Université de Strasbourg"
"en" => ""A Joint Partial Least Squares Component-based Approach to Structural Equation Modeling and Multi-block Data Analysis" - Institut de Recherche Mathématique Avancée, Université de Strasbourg"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Université Strasbourg I"
"en" => "Université Strasbourg I"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
14 => Essec\Faculty\Model\TeachingItem {#2374
#_index: null
#_id: null
#_source: array:7 [
"startDate" => null
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => "PATHMOX Approach: Segmentation Trees in Partial Least Squares Path Modeling"
"en" => "PATHMOX Approach: Segmentation Trees in Partial Least Squares Path Modeling"
]
"type" => array:2 [
"fr" => "Rapporteur"
"en" => "Thesis referee"
]
"institution" => array:2 [
"fr" => "Universitat Politècnica de Catalunya"
"en" => "Universitat Politècnica de Catalunya"
]
"country" => array:2 [
"fr" => "Espagne"
"en" => "Spain"
]
]
+lang: "fr"
}
15 => Essec\Faculty\Model\TeachingItem {#2326
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => ""A 3-day Course on PLS Path Modeling: Basic Concepts and Foundations, Advances and Applications".Cours de Formation pour des Chercheurs et Cadres"
"en" => ""A 3-day Course on PLS Path Modeling: Basic Concepts and Foundations, Advances and Applications". Training course for Researchers and Executives"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Addinsoft"
"en" => "Addinsoft"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
16 => Essec\Faculty\Model\TeachingItem {#2336
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => "“Component-based Structural Equation Models: the PLS Path Modelling Approach”"
"en" => "“Component-based Structural Equation Models: the PLS Path Modelling Approach”"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Sorbonne Université"
"en" => "Sorbonne Université"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
17 => Essec\Faculty\Model\TeachingItem {#2331
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => ""PLS Path Modeling: A Comprehensive Course""
"en" => ""PLS Path Modeling: A Comprehensive Course""
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Lillehammer University College"
"en" => "Lillehammer University College"
]
"country" => array:2 [
"fr" => "Norvège"
"en" => "Norway"
]
]
+lang: "fr"
}
18 => Essec\Faculty\Model\TeachingItem {#2332
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => ""PLS Path Modeling: Methodological Foundations, Recent Developments and Software Applications" - Tutoriel à 6th International Conference on Partial Least Squares and Related Methods"
"en" => ""PLS Path Modeling: Methodological Foundations, Recent Developments and Software Applications" - Tutorial at the 6th International Conference on Partial Least Squares and Related Methods"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Peking University"
"en" => "Peking University"
]
"country" => array:2 [
"fr" => "Chine"
"en" => "China"
]
]
+lang: "fr"
}
19 => Essec\Faculty\Model\TeachingItem {#2333
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => "“PLS Path Modeling for Consumer Analysis: estimation algorithm, assessment tools and applications with XLSTAT-PLSPM software” Summer School de la Italian Statistical Society (SIS) sur PLS Methods for Structured Data Tables in Consumer Analysis"
"en" => "“PLS Path Modeling for Consumer Analysis: estimation algorithm, assessment tools and applications with XLSTAT-PLSPM software” Summer School of the Italian Statistical Society (SIS) on PLS Methods for Structured Data Tables in Consumer Analysis"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Macerata"
"en" => "Università di Macerata"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
20 => Essec\Faculty\Model\TeachingItem {#2335
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#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
"program" => null
"label" => array:2 [
"fr" => "“A Comprehensive PLS-based Environment to Structural Equation Modeling”"
"en" => "“A Comprehensive PLS-based Environment to Structural Equation Modeling”"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Conservatoire National des Arts & Métiers (CNAM)"
"en" => "Conservatoire National des Arts & Métiers (CNAM)"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
21 => Essec\Faculty\Model\TeachingItem {#2334
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2009"
"endDate" => "2009"
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"label" => array:2 [
"fr" => "“The PLS Path Modeling approach to Structural Equation Modeling: Methodological Foundations, Recent Decelopments and Software Applications” Tutoriel à la 11th Conference of the International Federation of Classification Societies (IFCS)"
"en" => "“The PLS Path Modeling approach to Structural Equation Modeling: Methodological Foundations, Recent Decelopments and Software Applications” Tutorial at the 11th Conference of the International Federation of Classification Societies (IFCS)"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "International Federation of Classification Societies (IFCS)"
"en" => "International Federation of Classification Societies (IFCS)"
]
"country" => array:2 [
"fr" => "Allemagne"
"en" => "Germany"
]
]
+lang: "fr"
}
22 => Essec\Faculty\Model\TeachingItem {#2337
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => ""A Comprehensive PLS Environment to Structural Equation Modeling""
"en" => ""A Comprehensive PLS Environment to Structural Equation Modeling""
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
23 => Essec\Faculty\Model\TeachingItem {#2373
#_index: null
#_id: null
#_source: array:7 [
"startDate" => null
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => "Unobserved Heterogeneity in Structural Equation Models: a new approach to latent class detection in PLS Path Modeling"
"en" => "Unobserved Heterogeneity in Structural Equation Models: a new approach to latent class detection in PLS Path Modeling"
]
"type" => array:2 [
"fr" => "Directeur de thèse"
"en" => "Thesis director"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
24 => Essec\Faculty\Model\TeachingItem {#2342
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => "“Introduction to Categorical Data Analysis: Chi-square test of independence for cross-tabs, binary correspondence analysis for the association between two categorical variables, multiple correspondence analysis for the analysis of survey data” – Cours de formation pour les cadres juniors et seniors de EUROSTAT (Statistical Office of the European Union)"
"en" => "“Introduction to Categorical Data Analysis: Chi-square test of independence for cross-tabs, binary correspondence analysis for the association between two categorical variables, multiple correspondence analysis for the analysis of survey data” – Training course for the EUROSTAT (Statistical Office of the European Union) junior and senior executives"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Eurostat"
"en" => "Eurostat"
]
"country" => array:2 [
"fr" => "Luxembourg"
"en" => "Luxembourg"
]
]
+lang: "fr"
}
25 => Essec\Faculty\Model\TeachingItem {#2344
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => "“Path Analysis, Confirmatory Factor Analysis and Structural Equation Modelling”"
"en" => "“Path Analysis, Confirmatory Factor Analysis and Structural Equation Modelling”"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Sorbonne Université"
"en" => "Sorbonne Université"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
26 => Essec\Faculty\Model\TeachingItem {#2343
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => "“Statistical Modelling for Measuring Customer Satisfaction”"
"en" => "“Statistical Modelling for Measuring Customer Satisfaction”"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università degli Studi di Cagliari"
"en" => "Università degli Studi di Cagliari"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
27 => Essec\Faculty\Model\TeachingItem {#2341
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => "“Component-based Structural Equation Models” – Journées d'Etudes en Statistique (JES) de la Société Française de Statistique (SFdS)"
"en" => "“Component-based Structural Equation Models” – Journées d'Etudes en Statistique (JES) of the Société Française de Statistique (SFdS)"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Société Française de Statistique (SFdS)"
"en" => "Société Française de Statistique (SFdS)"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
28 => Essec\Faculty\Model\TeachingItem {#2340
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => "“Local Model in Component-based SEM” – Journées d'Etudes en Statistique (JES) de la Société Française de Statistique (SFdS)"
"en" => "“Local Model in Component-based SEM” – Journées d'Etudes en Statistique (JES) of the Société Française de Statistique (SFdS)"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Société Française de Statistique (SFdS)"
"en" => "Société Française de Statistique (SFdS)"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
29 => Essec\Faculty\Model\TeachingItem {#2339
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
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"label" => array:2 [
"fr" => ""Model assessment and multi-group comparison in PLS Path Modeling: methodological foundations and the XLSTAT-PLSPM software""
"en" => ""Model assessment and multi-group comparison in PLS Path Modeling: methodological foundations and the XLSTAT-PLSPM software""
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
30 => Essec\Faculty\Model\TeachingItem {#2338
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2008"
"endDate" => "2008"
"program" => null
"label" => array:2 [
"fr" => ""Detection and Assessment of Local Models in PLS Path Modeling""
"en" => ""Detection and Assessment of Local Models in PLS Path Modeling""
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
31 => Essec\Faculty\Model\TeachingItem {#2346
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2007"
"endDate" => "2007"
"program" => null
"label" => array:2 [
"fr" => "“PLS Path Modeling for Causal Networks: Recent Contributions with Applications to Customer Satisfaction Surveys and Sensory Data Analysis”– Séminaire de Recherche, Département Marketing, à HEC Paris"
"en" => "“PLS Path Modeling for Causal Networks: Recent Contributions with Applications to Customer Satisfaction Surveys and Sensory Data Analysis”– Research Seminar – Marketing Department at the HEC School of Management,"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "HEC Paris"
"en" => "HEC Paris"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
32 => Essec\Faculty\Model\TeachingItem {#2347
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2007"
"endDate" => "2007"
"program" => null
"label" => array:2 [
"fr" => "“Recent Contributions to PLS (Partial Least Squares) Regression and Path Modeling for the Analysis of Dependence Relationships, Causal Networks and Multiple Tables”– Séminaire de Recherche"
"en" => "“Recent Contributions to PLS (Partial Least Squares) Regression and Path Modeling for the Analysis of Dependence Relationships, Causal Networks and Multiple Tables”– Research Seminar"
]
"type" => array:2 [
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"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "HEC Paris"
"en" => "HEC Paris"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
33 => Essec\Faculty\Model\TeachingItem {#2372
#_index: null
#_id: null
#_source: array:7 [
"startDate" => null
"endDate" => "2007"
"program" => null
"label" => array:2 [
"fr" => "Contribution aux modèles d'équations tructurelles à variables latentes"
"en" => "Contribution aux modèles d'équations tructurelles à variables latentes"
]
"type" => array:2 [
"fr" => "Rapporteur"
"en" => "Thesis referee"
]
"institution" => array:2 [
"fr" => "Conservatoire National des Arts & Métiers (CNAM)"
"en" => "Conservatoire National des Arts & Métiers (CNAM)"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
34 => Essec\Faculty\Model\TeachingItem {#2345
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2007"
"endDate" => "2007"
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"label" => array:2 [
"fr" => "“PLS (Partial Least Squares) Path Modeling” – 11ème Cours du programme ECAS (European Courses in Advanced Statistics) sur le thème: “Structural Equation Models”"
"en" => "“PLS (Partial Least Squares) Path Modeling” – 11th Course in the ECAS (European Courses in Advanced Statistics) Program on the theme: “Structural Equation Models”"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Université Grenoble Alpes"
"en" => "Université Grenoble Alpes"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
35 => Essec\Faculty\Model\TeachingItem {#2348
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2001"
"endDate" => "2006"
"program" => null
"label" => array:2 [
"fr" => "“PLS Methods: from regression to structural equation models” – course pour le "Master in Quantitative Methods for the Social Research and the Market Analysis" de University of Naples “Federico II”"
"en" => "“PLS Methods: from regression to structural equation models” – course for the Master in Quantitative Methods for the Social Research and the Market Analysis of the University of Naples “Federico II”"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
36 => Essec\Faculty\Model\TeachingItem {#2349
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2005"
"endDate" => "2005"
"program" => null
"label" => array:2 [
"fr" => "“The Classical (ML) and the Partial Least Squares Approaches to Study Causality Relationships by Structural Equation Modeling”– Séminaire de Finance Quantitative"
"en" => "“The Classical (ML) and the Partial Least Squares Approaches to Study Causality Relationships by Structural Equation Modeling”– Quantitative Finance Seminar"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Humboldt-Universität zu Berlin"
"en" => "Humboldt-Universität zu Berlin"
]
"country" => array:2 [
"fr" => "Allemagne"
"en" => "Germany"
]
]
+lang: "fr"
}
37 => Essec\Faculty\Model\TeachingItem {#2350
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2005"
"endDate" => "2005"
"program" => null
"label" => array:2 [
"fr" => "“The Classical Approach (SEM-ML) to the Study of Causality by Modeling Structural Relationships between Latent Variables”– Atelier Statistique de la Société Française de Statistique “Modèles structurels et applications”"
"en" => "“The Classical Approach (SEM-ML) to the Study of Causality by Modeling Structural Relationships between Latent Variables”– Statistics Workshop of the Société Française de Statistique “Modèles structurels et applications”"
]
"type" => array:2 [
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"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Société Française de Statistique (SFdS)"
"en" => "Société Française de Statistique (SFdS)"
]
"country" => array:2 [
"fr" => "France"
"en" => "France"
]
]
+lang: "fr"
}
38 => Essec\Faculty\Model\TeachingItem {#2351
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2005"
"endDate" => "2005"
"program" => null
"label" => array:2 [
"fr" => "“The PLS approach to the analysis of latent variables: regression techniques (PLS1, PLS2), analysis of disjoint matrices (L-PLS, U-PLS)and multiblock analysis by means of causal networks (PLS-PM, Domino PLS)” – Course on “Sensory Evaluation of Food Products: test planning and data analysis” Italian Society of Sensory Sciences"
"en" => "“The PLS approach to the analysis of latent variables: regression techniques (PLS1, PLS2), analysis of disjoint matrices (L-PLS, U-PLS)and multiblock analysis by means of causal networks (PLS-PM, Domino PLS)” – Course on “Sensory Evaluation of Food Products: test planning and data analysis” Italian Society of Sensory Sciences"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Italian Sensory Sciences Society (SISS)"
"en" => "Italian Sensory Sciences Society (SISS)"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
39 => Essec\Faculty\Model\TeachingItem {#2352
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2004"
"endDate" => "2004"
"program" => null
"label" => array:2 [
"fr" => "Use of PLS Graph for the European Customer Satisfaction Index – PLS Summer School, Technical University of Berlin"
"en" => "Use of PLS Graph for the European Customer Satisfaction Index – PLS Summer School, Technical University of Berlin"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Technische Universität Berlin"
"en" => "Technische Universität Berlin"
]
"country" => array:2 [
"fr" => "Allemagne"
"en" => "Germany"
]
]
+lang: "fr"
}
40 => Essec\Faculty\Model\TeachingItem {#2353
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2004"
"endDate" => "2004"
"program" => null
"label" => array:2 [
"fr" => "PLS Model Evaluation and Comparisons with LISREL – PLS Summer School, Technical University of Berlin"
"en" => "PLS Model Evaluation and Comparisons with LISREL – PLS Summer School, Technical University of Berlin"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Technische Universität Berlin"
"en" => "Technische Universität Berlin"
]
"country" => array:2 [
"fr" => "Allemagne"
"en" => "Germany"
]
]
+lang: "fr"
}
41 => Essec\Faculty\Model\TeachingItem {#2354
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#_id: null
#_source: array:7 [
"startDate" => "2004"
"endDate" => "2004"
"program" => null
"label" => array:2 [
"fr" => "A Modeling Approach for measuring Customer Satisfaction – Cours de Statistiques à la Faculté de Sciences Politiques, University of Macerata"
"en" => "A Modeling Approach for measuring Customer Satisfaction – Statistics course at the Faculty of Political Sciences, University of Macerata"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Macerata"
"en" => "Università di Macerata"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
42 => Essec\Faculty\Model\TeachingItem {#2357
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2003"
"endDate" => "2003"
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"label" => array:2 [
"fr" => "PLS (Partial Least Squares) methods: from regression to structural equations models – Master in Quantitative Methods for Social Research and Market Analysis , Department of Mathematics and Statistics"
"en" => "PLS (Partial Least Squares) methods: from regression to structural equations models – Master in Quantitative Methods for Social Research and Market Analysis , Department of Mathematics and Statistics"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
43 => Essec\Faculty\Model\TeachingItem {#2355
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#_id: null
#_source: array:7 [
"startDate" => "2003"
"endDate" => "2003"
"program" => null
"label" => array:2 [
"fr" => "PLS (Partial Least Squares) Path Modeling: Methodological Innovations, the use of PLS-SPAD software and applications to the Customer Satisfaction Index – (avec Y.M. Chatelin) Tutoriel à PLS and Related Methods – Focus on Customers Conference (Lisbonne, 16 Septembre 2003)."
"en" => "PLS (Partial Least Squares) Path Modeling: Methodological Innovations, the use of PLS-SPAD software and applications to the Customer Satisfaction Index – (with Y.M. Chatelin) Tutorial at the PLS and Related Methods – Focus on Customers Conference (Lisbon, September, 16th 2003)."
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "International Conference on Partial Least Squares and Related Methods"
"en" => "International Conference on Partial Least Squares and Related Methods"
]
"country" => array:2 [
"fr" => "Portugal"
"en" => "Portugal"
]
]
+lang: "fr"
}
44 => Essec\Faculty\Model\TeachingItem {#2356
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2003"
"endDate" => "2003"
"program" => null
"label" => array:2 [
"fr" => "Latent Variables Soft Modeling (PLS) – séries de cours à l'IASC-IFCS Joint International Summer School on Classification and Data Mining in Business, Industry and Applied Research: Methodological and Computational Issues"
"en" => "Latent Variables Soft Modeling (PLS) – series of lectures at the IASC-IFCS Joint International Summer School on Classification and Data Mining in Business, Industry and Applied Research: Methodological and Computational Issues"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "International Association for Statistical Computing (IASC)"
"en" => "International Association for Statistical Computing (IASC)"
]
"country" => array:2 [
"fr" => "Portugal"
"en" => "Portugal"
]
]
+lang: "fr"
}
45 => Essec\Faculty\Model\TeachingItem {#2358
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2003"
"endDate" => "2003"
"program" => null
"label" => array:2 [
"fr" => "The LISREL and the PLS approach to Structural Equation Modeling – serie de séminaires pour le Doctorat en Statistiques et le Doctorat en Informatique de Universitat Politecnica de Catalunya"
"en" => "The LISREL and the PLS approach to Structural Equation Modeling – series of seminars at the Doctorate in Statistics and the Doctorate in Informatics of the Universitat Politecnica de Catalunya"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Universitat Politècnica de Catalunya"
"en" => "Universitat Politècnica de Catalunya"
]
"country" => array:2 [
"fr" => "Espagne"
"en" => "Spain"
]
]
+lang: "fr"
}
46 => Essec\Faculty\Model\TeachingItem {#2359
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2001"
"endDate" => "2001"
"program" => null
"label" => array:2 [
"fr" => "LISREL and PLS Path Modeling – series of lectures at the IASC-IASS Joint International Summer School on Knowledge Discovery & Large Surveys Design and Analysis"
"en" => "LISREL and PLS Path Modeling – series of lectures at the IASC-IASS Joint International Summer School on Knowledge Discovery & Large Surveys Design and Analysis"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "International Association for Statistical Computing (IASC)"
"en" => "International Association for Statistical Computing (IASC)"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
47 => Essec\Faculty\Model\TeachingItem {#2360
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2001"
"endDate" => "2001"
"program" => null
"label" => array:2 [
"fr" => "Explanatory Analyses – Module du cours sur l'analyse de données multidimensionnelle pour le Master en Marketing, LUISS Management University"
"en" => "Explanatory Analyses – module of the course on Multidimensional Data Analysis for the Master in Marketing of the LUISS Management University"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Luiss University"
"en" => "Luiss University"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
48 => Essec\Faculty\Model\TeachingItem {#2361
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "2000"
"endDate" => "2000"
"program" => null
"label" => array:2 [
"fr" => "The analysis of complex systems in Epidemiology and Biomedicine –Cours pour la Post-Graduate School on Biostatistics for Clinical and Epidemiological Research by the Faculty of Medicine of the University of Naples Federico II"
"en" => "The analysis of complex systems in Epidemiology and Biomedicine – course in the Post-Graduate School on Biostatistics for Clinical and Epidemiological Research by the Faculty of Medicine of the University of Naples Federico II"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
49 => Essec\Faculty\Model\TeachingItem {#2364
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#_id: null
#_source: array:7 [
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"endDate" => "2000"
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"label" => array:2 [
"fr" => "Analysts of Scenarios on International Markets (post-graduate course). Module Statistiques"
"en" => "Analysts of Scenarios on International Markets (post-graduate course). Statistics module"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
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"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
50 => Essec\Faculty\Model\TeachingItem {#2362
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "1999"
"endDate" => "1999"
"program" => null
"label" => array:2 [
"fr" => "Multivariate Statistical Analyses for Total Quality Measurement – séries de cours à la V International Summer School in Computational Statistics organisé par IASC sur le thème: 3rd Millenium Challenge for Industrial Statistics"
"en" => "Multivariate Statistical Analyses for Total Quality Measurement – series of lectures at the V International Summer School in Computational Statistics organised by IASC on the theme: 3rd Millenium Challenge for Industrial Statistics"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "International Association for Statistical Computing (IASC)"
"en" => "International Association for Statistical Computing (IASC)"
]
"country" => array:2 [
"fr" => "Grèce"
"en" => "Greece"
]
]
+lang: "fr"
}
51 => Essec\Faculty\Model\TeachingItem {#2365
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "1998"
"endDate" => "1998"
"program" => null
"label" => array:2 [
"fr" => "Experts of Tourism Marketing (post-graduate course). Module Statistiques"
"en" => "Experts of Tourism Marketing (post-graduate course). Statistics module"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
52 => Essec\Faculty\Model\TeachingItem {#2366
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "1998"
"endDate" => "1998"
"program" => null
"label" => array:2 [
"fr" => "Experts of Typical Food Products Marketing (post-graduate course). Module Statistiques"
"en" => "Experts of Typical Food Products Marketing (post-graduate course). Statistics module"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
53 => Essec\Faculty\Model\TeachingItem {#2367
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "1997"
"endDate" => "1997"
"program" => null
"label" => array:2 [
"fr" => "Experts in Quality Management for Small Enterprises (post-graduate course). Module Statistiques"
"en" => "Experts in Quality Management for Small Enterprises (post-graduate course). Statistics module"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
54 => Essec\Faculty\Model\TeachingItem {#2368
#_index: null
#_id: null
#_source: array:7 [
"startDate" => "1997"
"endDate" => "1997"
"program" => null
"label" => array:2 [
"fr" => "Market Analysts: Methodologies and Experiences supporting Small Enterprises (post-graduate course). Module Statistiques"
"en" => "Market Analysts: Methodologies and Experiences supporting Small Enterprises (post-graduate course). Statistics module"
]
"type" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"institution" => array:2 [
"fr" => "Università di Napoli Federico II"
"en" => "Università di Napoli Federico II"
]
"country" => array:2 [
"fr" => "Italie"
"en" => "Italy"
]
]
+lang: "fr"
}
55 => Essec\Faculty\Model\TeachingItem {#2363
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}
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"en" => "Organiser of the Second Workshop in the ESSEC-HEC Research WorkshopSeries on "PLS Developments": Structural Equation Models, PLs PathModeling and Multi-block Techniques in Sensory and Consumer Analysis -Methods, Applications and Software""
]
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]
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"fr" => "France"
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]
]
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}
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]
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]
"country" => array:2 [
"fr" => "Finlande"
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]
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}
23 => Essec\Faculty\Model\ExtraActivity {#2258
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"fr" => null
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]
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"fr" => "Portugal"
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]
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}
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]
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]
]
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}
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]
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"fr" => "Italie"
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]
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}
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]
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}
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]
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}
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]
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]
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}
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]
"country" => array:2 [
"fr" => "Slovénie"
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]
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}
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]
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"fr" => "Chypre"
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]
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}
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"en" => "Member of the Steering Committee for PLS'05, 4th International Symposium on PLS and Related Methods - Focus on Marketing"
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]
"country" => array:2 [
"fr" => "Espagne"
"en" => "Spain"
]
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}
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]
"country" => array:2 [
"fr" => "Australie"
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]
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}
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]
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}
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]
"country" => array:2 [
"fr" => "Allemagne"
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]
]
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}
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]
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]
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}
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]
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]
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}
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]
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]
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}
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]
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]
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}
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]
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]
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}
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"en" => "Programme Committee Member for the organisation of the IASC-IFCS Summer School on the theme: "Data Mining and Classification for Business and Industry: methods, computational issues and applications""
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"en" => null
]
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]
]
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}
41 => Essec\Faculty\Model\ExtraActivity {#2276
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"en" => null
]
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]
]
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+"parent": Essec\Faculty\Model\Profile {#2233}
}
42 => Essec\Faculty\Model\ExtraActivity {#2277
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0 => Essec\Faculty\Model\These {#2391
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1 => Essec\Faculty\Model\These {#2392
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#_source: array:9 [
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}
2 => Essec\Faculty\Model\These {#2393
#_index: null
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]
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3 => Essec\Faculty\Model\These {#2394
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}
4 => Essec\Faculty\Model\These {#2395
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]
"country" => array:2 [
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]
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5 => Essec\Faculty\Model\These {#2396
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6 => Essec\Faculty\Model\These {#2397
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0 => Essec\Faculty\Model\Contribution {#2399
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"title" => "Examining the Effect of Novelty Seeking, Satisfaction, and Destination Image on Tourists' Return Pattern: A Two Factor, Non-linear Latent Growth Model"
"description" => "ASSAKER, G., ESPOSITO VINZI, V. et O'CONNOR, P. (2011). Examining the Effect of Novelty Seeking, Satisfaction, and Destination Image on Tourists' Return Pattern: A Two Factor, Non-linear Latent Growth Model. <i>Tourism Management</i>, 32(4), pp. 890-901."
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3 => "Revisit intention"
4 => "Satisfaction"
]
"updatedAt" => "2021-02-02 16:16:18"
"publicationUrl" => "https://www.sciencedirect.com/science/article/abs/pii/S0261517710001627"
"publicationInfo" => array:3 [
"pages" => "890-901"
"volume" => "32"
"number" => "4"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Avec beaucoup de destinations dépendantes de la fidélisation de leur clientèle, l’intention de retourner sur un même lieu est devenue un sujet de recherche important. Alors que les facteurs qui motivent les raisons d’un retour à une destination évoluent dans le temps, ce report propose l’usage d’une courbe de croissance latente afin de modéliser la trajectoire du développement concernant les comportements liés à la fidélisation. Le modèle proposé a été testé dans AMOS 16.0 en se servant des méthodologies SEM afin d’enquêter sur les effets de la recherche de la nouveauté, l’image de la destination et le niveau général de satisfaction concernant l’intention de revisiter une destination en se servant des informations récoltées parmi les voyageurs français, anglais, et allemand. Les résultats indiquent que la recherche de nouveauté et un niveau de satisfaction bas parmi des voyages réduit l’intention d’un retour immédiat. Contrairement, une image positive de la destination renforce les intentions d’un retour immédiat et futur."
"en" => "With many destinations relying on repeat business, intention to revisit has become an important research topic. As revisit intention changes over time, this paper proposes the use of a latent growth curve to model the developmental trajectory of return behavior. The proposed model was tested in two steps in AMOS 16.0 using SEM methodologies to investigate the effects of novelty seeking, destination image and overall satisfaction levels across intent to revisit trajectories using data collected among French, English, and German travelers. Findings indicate that both novelty seeking and low satisfaction among travelers temper immediate intent to return. Conversely, a positive image of the destination enhances both immediate and future intentions to return."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
1 => Essec\Faculty\Model\Contribution {#2401
#_index: "academ_contributions"
#_id: "1182"
#_source: array:18 [
"id" => "1182"
"slug" => "extending-a-tourism-causality-network-a-cross-country-multigroup-empirical-analysis"
"yearMonth" => "2011-11"
"year" => "2011"
"title" => "Extending a Tourism Causality Network: A Cross-Country, Multigroup Empirical Analysis"
"description" => "ASSAKER, G., ESPOSITO VINZI, V. et O'CONNOR, P. (2011). Extending a Tourism Causality Network: A Cross-Country, Multigroup Empirical Analysis. <i>Tourism and Hospitality Research (formerly International Journal of Tourism and Hospitality Research: The Surrey Quarterly Review)</i>, 11(4), pp. 258-277."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "ASSAKER G."
]
2 => array:1 [
"name" => "O'CONNOR Peter"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "Developed countries"
1 => "Less-developed countries"
2 => "Moderating effect"
3 => "Multigroup analysis"
4 => "Supply-side variables"
]
"updatedAt" => "2021-02-02 16:16:18"
"publicationUrl" => "https://journals.sagepub.com/doi/abs/10.1177/1467358411418815"
"publicationInfo" => array:3 [
"pages" => "258-277"
"volume" => "11"
"number" => "4"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => """
Cette étude donne un aperçu d'une technique statistique puissante pour tester l'invariance de modèle à travers plusieurs groupes. De cette manière, elle fournit des indications pour les décideurs et contribue à la littérature sur la prévision des demandes de tourisme par la validation et l'extension des résultats antérieurs sur les facteurs de l'offre comment l’offre influence la demande en matière de tourisme. Plus précisément, cette étude prend en considération un modèle structurel a priori validé pour les relations entre des données construites dans l'économie, la société, l’environnement et le tourisme dans 162 pays, examinant la mesure dans laquelle le modèle a été invariant à travers deux groupes d'observations isolées : pays développés et moins développés. Lors de tests, le modèle a priori n'a pas été reproduit à travers les deux groupes. Au lieu de cela on a utilisé un modèle réduit, incorporant des données construites concernant la société, l'environnement et le tourisme afin de comparer et tester les écarts des paramètres à travers les deux groupes à l'aide d’analyse d'échantillonnage multi-groupes AMOS 16.0. Les résultats indiquent que le chemin des coefficients est égal à travers les groupes.\n
Il existe une relation positive entre les données concernant la société et l'environnement, alors qu'il existait une relation significative positive semblable entre les données concernant la société et l'environnement et le tourisme, respectivement.
"""
"en" => "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."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
2 => Essec\Faculty\Model\Contribution {#2403
#_index: "academ_contributions"
#_id: "5607"
#_source: array:18 [
"id" => "5607"
"slug" => "component-based-redundancy-path-modeling"
"yearMonth" => "2014-06"
"year" => "2014"
"title" => "Component-Based Redundancy Path-Modeling"
"description" => "ESPOSITO VINZI, V. (2014). Component-Based Redundancy Path-Modeling. Dans: 2014 International Symposium on Business and Industrial Statistics."
"authors" => array:1 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
]
"ouvrage" => "2014 International Symposium on Business and Industrial Statistics"
"keywords" => []
"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" => null
"en" => null
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
3 => Essec\Faculty\Model\Contribution {#2400
#_index: "academ_contributions"
#_id: "1420"
#_source: array:18 [
"id" => "1420"
"slug" => "is-environmental-management-an-economically-sustainable-business"
"yearMonth" => "2014-11"
"year" => "2014"
"title" => "Is Environmental Management an Economically Sustainable Business?"
"description" => "GOTSCHOL, A., DE GIOVANNI, P. et ESPOSITO VINZI, V. (2014). Is Environmental Management an Economically Sustainable Business? <i>Journal of Environmental Management</i>, 144(1), pp. 73-82."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "GOTSCHOL A."
]
2 => array:1 [
"name" => "DE GIOVANNI Pietro"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "Green supply chain management"
1 => "Green production"
2 => "Environmental performance"
3 => "Economic performance"
4 => "Structural equation modeling"
]
"updatedAt" => "2021-02-02 16:16:18"
"publicationUrl" => "https://www.sciencedirect.com/science/article/pii/S0301479714002266"
"publicationInfo" => array:3 [
"pages" => "73-82"
"volume" => "144"
"number" => "1"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "This paper investigates whether environmental management is an economically sustainable business. While firms invest in green production and green supply chain activities with the primary purpose of reducing their environmental impact, the reciprocal relationships with economic performance need to be clarified. We found out that environmental management positively influences economic performance as second order (long term) target, to be reached conditioned by higher environmental performance; in addition, firms can increase their performance if they reinvest the higher economic value gained through environmental management in green practices. While investing in environmental management programs is a short term strategy, economic rewards can be obtained only with some delays. Consequently, environmental management is an economically sustainable business only for patient firms. In the evaluation of these reciprocal relationships, we discovered that green supply chain initiatives are more effective and more economically sustainable than internal actions."
"en" => "This paper investigates whether environmental management is an economically sustainable business. While firms invest in green production and green supply chain activities with the primary purpose of reducing their environmental impact, the reciprocal relationships with economic performance need to be clarified. We found out that environmental management positively influences economic performance as second order (long term) target, to be reached conditioned by higher environmental performance; in addition, firms can increase their performance if they reinvest the higher economic value gained through environmental management in green practices. While investing in environmental management programs is a short term strategy, economic rewards can be obtained only with some delays. Consequently, environmental management is an economically sustainable business only for patient firms. In the evaluation of these reciprocal relationships, we discovered that green supply chain initiatives are more effective and more economically sustainable than internal actions."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
4 => Essec\Faculty\Model\Contribution {#2404
#_index: "academ_contributions"
#_id: "1421"
#_source: array:18 [
"id" => "1421"
"slug" => "is-investing-in-social-media-really-worth-it-how-brand-actions-and-user-actions-influence-brand-value"
"yearMonth" => "2016-06"
"year" => "2016"
"title" => "Is Investing in Social Media Really Worth It? How Brand Actions and User Actions Influence Brand Value"
"description" => "COLICEV, A., O'CONNOR, P. et ESPOSITO VINZI, V. (2016). Is Investing in Social Media Really Worth It? How Brand Actions and User Actions Influence Brand Value. <i>Service Science</i>, 8(2), pp. 152-168."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "COLICEV A."
]
2 => array:1 [
"name" => "O'CONNOR Peter"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "Social media"
1 => "Branding"
2 => "Brand value"
3 => "Partial least squares (PLS)"
4 => "Return on investment"
]
"updatedAt" => "2021-02-02 16:16:18"
"publicationUrl" => "https://pubsonline.informs.org/doi/10.1287/serv.2016.0143"
"publicationInfo" => array:3 [
"pages" => "152-168"
"volume" => "8"
"number" => "2"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Although previous studies have documented a positive link between traditional media and brand performance, how social media is related to brand value has not yet been comprehensively explored. We propose a conceptual model to address this research gap, collecting a unique data set that captures information on user and brand actions on three social media platforms (Facebook, Twitter, and YouTube), word-of-mouth, and brand value for 87 brands in 17 industries. We empirically test our model with partial least squares path modeling (PLS-PM). First, we test the direct effects and find that user actions on YouTube and brand actions on Facebook have a positive influence on brand value. Second, we enrich our model by including word-of-mouth as a mediator, finding that the effect of social media goes above and beyond pure word-of-mouth spread. We test for alternative models, by first accounting for sample heterogeneity and second by including brand strength as a control variable, finding that the main model results’ are indeed robust. Our study demonstrates that making use of social media positively relates to brand value, as well as validates a set of objective metrics to measure social media actions, thus advancing knowledge on social media marketing for both academics and practitioners."
"en" => "Although previous studies have documented a positive link between traditional media and brand performance, how social media is related to brand value has not yet been comprehensively explored. We propose a conceptual model to address this research gap, collecting a unique data set that captures information on user and brand actions on three social media platforms (Facebook, Twitter, and YouTube), word-of-mouth, and brand value for 87 brands in 17 industries. We empirically test our model with partial least squares path modeling (PLS-PM). First, we test the direct effects and find that user actions on YouTube and brand actions on Facebook have a positive influence on brand value. Second, we enrich our model by including word-of-mouth as a mediator, finding that the effect of social media goes above and beyond pure word-of-mouth spread. We test for alternative models, by first accounting for sample heterogeneity and second by including brand strength as a control variable, finding that the main model results’ are indeed robust. Our study demonstrates that making use of social media positively relates to brand value, as well as validates a set of objective metrics to measure social media actions, thus advancing knowledge on social media marketing for both academics and practitioners."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
5 => Essec\Faculty\Model\Contribution {#2398
#_index: "academ_contributions"
#_id: "572"
#_source: array:18 [
"id" => "572"
"slug" => "a-quantile-composite-indicator-approach-for-the-measurement-of-equitable-and-sustainable-well-being-a-case-study-of-the-italian-provinces"
"yearMonth" => "2016-09"
"year" => "2016"
"title" => "A Quantile Composite-Indicator Approach for the Measurement of Equitable and Sustainable Well-Being: A Case Study of the Italian Provinces"
"description" => "DAVINO, C., DOLCE, P., TARALLI, S. et ESPOSITO VINZI, V. (2016). A Quantile Composite-Indicator Approach for the Measurement of Equitable and Sustainable Well-Being: A Case Study of the Italian Provinces. <i>Social Indicators Research</i>, 136(3), pp. 999-1029."
"authors" => array:4 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "DAVINO C."
]
2 => array:1 [
"name" => "DOLCE P."
]
3 => array:1 [
"name" => "TARALLI S."
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2021-09-24 10:33:27"
"publicationUrl" => "https://link.springer.com/article/10.1007%2Fs11205-016-1453-8"
"publicationInfo" => array:3 [
"pages" => "999-1029"
"volume" => "136"
"number" => "3"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "An interesting measure for equitable and sustainable well-being has been proposed recently by the National Institute of Statistics in Italy and the National Council for Economy and Labour. It is called BES (from the Italian Benessere Equo e Sostenibile). A set of indicators, partitioned into several domains and themes, is used for measuring the BES. Taking into account prior knowledge of both the structure of this set of indicators and the relationships among them, the paper proposes a hierarchical composite model for measuring and modeling the BES of the Italian provinces. This hierarchical model allows us to synthesize individual indicators into single indexes in order to construct composite indicators at a global and a partial level. Moreover, we analyze the relationships among the different domains and themes as well as the effects of these on equitable and sustainable well-being, in order to search for strongly influential factors. In order to estimate the parameters of the model, we use both Partial Least Squares path modeling and a new method, called Quantile Composite-based path modeling. In particular, Partial Least Squares path modeling is used to estimate average effects in the network of relationships between variables, while with Quantile Composite-based path modeling we investigate whether the magnitude of these effects changes across different parts of the variable distributions, providing a more complete picture and uncovering specific local leveraging factors for improvement. A final ranking of the Italian provinces, according to the BES composite indicator, is also provided at the national level and for different geographic areas of Italy."
"en" => "An interesting measure for equitable and sustainable well-being has been proposed recently by the National Institute of Statistics in Italy and the National Council for Economy and Labour. It is called BES (from the Italian Benessere Equo e Sostenibile). A set of indicators, partitioned into several domains and themes, is used for measuring the BES. Taking into account prior knowledge of both the structure of this set of indicators and the relationships among them, the paper proposes a hierarchical composite model for measuring and modeling the BES of the Italian provinces. This hierarchical model allows us to synthesize individual indicators into single indexes in order to construct composite indicators at a global and a partial level. Moreover, we analyze the relationships among the different domains and themes as well as the effects of these on equitable and sustainable well-being, in order to search for strongly influential factors. In order to estimate the parameters of the model, we use both Partial Least Squares path modeling and a new method, called Quantile Composite-based path modeling. In particular, Partial Least Squares path modeling is used to estimate average effects in the network of relationships between variables, while with Quantile Composite-based path modeling we investigate whether the magnitude of these effects changes across different parts of the variable distributions, providing a more complete picture and uncovering specific local leveraging factors for improvement. A final ranking of the Italian provinces, according to the BES composite indicator, is also provided at the national level and for different geographic areas of Italy."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
6 => Essec\Faculty\Model\Contribution {#2402
#_index: "academ_contributions"
#_id: "621"
#_source: array:18 [
"id" => "621"
"slug" => "an-attitude-model-of-environmental-action-evidence-from-developing-and-developed-countries"
"yearMonth" => "2019-06"
"year" => "2019"
"title" => "An Attitude Model of Environmental Action: Evidence from Developing and Developed Countries"
"description" => "DAVINO, C., ESPOSITO VINZI, V., SANTACREU VASUT, E. et VRANCEANU, R. (2019). An Attitude Model of Environmental Action: Evidence from Developing and Developed Countries. <i>Social Indicators Research</i>, 143(2), pp. 811-838."
"authors" => array:4 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:3 [
"name" => "SANTACREU VASUT Estefania"
"bid" => "B00318975"
"slug" => "santacreu-vasut-estefania"
]
2 => array:3 [
"name" => "VRANCEANU Radu"
"bid" => "B00000524"
"slug" => "vranceanu-radu"
]
3 => array:1 [
"name" => "DAVINO Cristina"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "Environmental attitudes"
1 => "Development"
2 => "Culture"
3 => "Multivariate analysis"
4 => "Partial least squares"
]
"updatedAt" => "2021-09-24 10:33:27"
"publicationUrl" => "https://link.springer.com/article/10.1007%2Fs11205-018-1983-3"
"publicationInfo" => array:3 [
"pages" => "811-838"
"volume" => "143"
"number" => "2"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "This paper analyzes the determinants of stated individual support towards environmental action. The analysis is realized by means of an original Partial Least Squares Path model of Environmental Awareness-Social Capital-Action and it is based on survey data provided in the fifth wave of the World Values Survey (2005–2009) regarding 34.612 individuals from 42 different countries. Besides the global estimates obtained on the whole set of countries, the paper proposes a subsample analysis for developed and developing countries, as well as country analyses for four major economies: China, India, Germany and the United States. We find that environmental awareness and trust in not-for-profit organizations are important determinants of individual action in support of environmentally friendly policies. In general, trust in science and technology does not crowd-out individual support towards the environment."
"en" => "This paper analyzes the determinants of stated individual support towards environmental action. The analysis is realized by means of an original Partial Least Squares Path model of Environmental Awareness-Social Capital-Action and it is based on survey data provided in the fifth wave of the World Values Survey (2005–2009) regarding 34.612 individuals from 42 different countries. Besides the global estimates obtained on the whole set of countries, the paper proposes a subsample analysis for developed and developing countries, as well as country analyses for four major economies: China, India, Germany and the United States. We find that environmental awareness and trust in not-for-profit organizations are important determinants of individual action in support of environmentally friendly policies. In general, trust in science and technology does not crowd-out individual support towards the environment."
]
"authors_fields" => array:2 [
"fr" => "Economie"
"en" => "Economics"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
7 => Essec\Faculty\Model\Contribution {#2405
#_index: "academ_contributions"
#_id: "626"
#_source: array:18 [
"id" => "626"
"slug" => "an-empirical-investigation-of-the-antecedents-of-partnering-capability"
"yearMonth" => "2016-08"
"year" => "2016"
"title" => "An Empirical Investigation of the Antecedents of Partnering Capability"
"description" => "DE GIOVANNI, P., ESPOSITO VINZI, V. et COLICEV, A. (2016). An Empirical Investigation of the Antecedents of Partnering Capability. <i>International Journal of Production Economics</i>, 178, pp. 144-153."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "DE GIOVANNI Pietro"
]
2 => array:1 [
"name" => "COLICEV A."
]
]
"ouvrage" => ""
"keywords" => array:6 [
0 => "Partnering capability"
1 => "Departmental integration"
2 => "Customer service"
3 => "Performance"
4 => "PLS-PM"
5 => "IMPA"
]
"updatedAt" => "2021-02-02 16:16:18"
"publicationUrl" => "https://www.sciencedirect.com/science/article/abs/pii/S0925527316300846"
"publicationInfo" => array:3 [
"pages" => "144-153"
"volume" => "178"
"number" => null
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "In this paper, we propose a new approach to evaluating firms’ Partnering Capability. While previous research treats Partnering Capability as an exogenous factor, we take into account its antecedents and thus conceive it as endogenous. Our motivations are driven by the fact that firms ex-ante evaluate their partners by assessing their Partnering Capability. We focus on departmental integration, customer service, and economic and operational performance as key antecedents of Partnering Capability. Our empirical findings show that Partnering Capability is directly induced by operational performance and departmental integration. In addition, customer service along with departmental integration generates a chain of indirect effects due to economic and operational performance. Finally, we investigate the importance-performance matrix analysis (IMPA) that further identifies the managerial levers to enhance Partnering Capability."
"en" => "In this paper, we propose a new approach to evaluating firms’ Partnering Capability. While previous research treats Partnering Capability as an exogenous factor, we take into account its antecedents and thus conceive it as endogenous. Our motivations are driven by the fact that firms ex-ante evaluate their partners by assessing their Partnering Capability. We focus on departmental integration, customer service, and economic and operational performance as key antecedents of Partnering Capability. Our empirical findings show that Partnering Capability is directly induced by operational performance and departmental integration. In addition, customer service along with departmental integration generates a chain of indirect effects due to economic and operational performance. Finally, we investigate the importance-performance matrix analysis (IMPA) that further identifies the managerial levers to enhance Partnering Capability."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
8 => Essec\Faculty\Model\Contribution {#2406
#_index: "academ_contributions"
#_id: "629"
#_source: array:18 [
"id" => "629"
"slug" => "an-empirical-operationalization-of-countries-destination-competitiveness-using-partial-least-squares-modelling"
"yearMonth" => "2013-10"
"year" => "2013"
"title" => "An Empirical Operationalization of Countries' Destination Competitiveness Using Partial Least Squares Modelling"
"description" => "ASSAKER, G., HALLAK, R., ESPOSITO VINZI, V. et O'CONNOR, P. (2013). An Empirical Operationalization of Countries' Destination Competitiveness Using Partial Least Squares Modelling. <i>Journal of Travel Research</i>, 53(1), pp. 26-43."
"authors" => array:4 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "ASSAKER G."
]
2 => array:1 [
"name" => "HALLAK R."
]
3 => array:1 [
"name" => "O'CONNOR Peter"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "Destination competitiveness"
1 => "Partial least squares modeling (PLSPM)"
2 => "Structural equation modeling (SEM)"
3 => "Latent variables (LVs) scores"
4 => "Cause indicators"
]
"updatedAt" => "2021-02-02 16:16:18"
"publicationUrl" => "https://journals.sagepub.com/doi/10.1177/0047287513481275"
"publicationInfo" => array:3 [
"pages" => "26-43"
"volume" => "53"
"number" => "1"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Growth in tourism has resulted in escalating competition among destinations. Understanding destination competitiveness and its determinant factors is thus critical to tourism researchers and policy makers. Using partial least squares path modeling (PLSPM) on a cross-sectional sample of 154 countries, this study examines relationships among destination competitiveness and its predictors, including the economy, natural environment, and infrastructure."
"en" => "Growth in tourism has resulted in escalating competition among destinations. Understanding destination competitiveness and its determinant factors is thus critical to tourism researchers and policy makers. Using partial least squares path modeling (PLSPM) on a cross-sectional sample of 154 countries, this study examines relationships among destination competitiveness and its predictors, including the economy, natural environment, and infrastructure."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
"en" => "Information Systems, Decision Sciences and Statistics"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
9 => Essec\Faculty\Model\Contribution {#2407
#_index: "academ_contributions"
#_id: "2280"
#_source: array:18 [
"id" => "2280"
"slug" => "preface-special-issue-on-the-6th-international-symposium-on-business-and-industrial-statistics-isbis-6"
"yearMonth" => "2009-08"
"year" => "2009"
"title" => "Préface : Special issue on the 6th International Symposium on Business and Industrial Statistics (ISBIS-6)"
"description" => "ESPOSITO VINZI, V. (2009). Préface : Special issue on the 6th International Symposium on Business and Industrial Statistics (ISBIS-6)., 4(25), pp. 421-424."
"authors" => array:1 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2020-12-17 17:55:06"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => "421-424"
"volume" => "4"
"number" => "25"
]
"type" => array:2 [
"fr" => "Préfaces / Introductions de revue"
"en" => "Prefaces of a journal"
]
"support_type" => array:2 [
"fr" => null
"en" => null
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => null
"en" => null
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
10 => Essec\Faculty\Model\Contribution {#2408
#_index: "academ_contributions"
#_id: "2575"
#_source: array:18 [
"id" => "2575"
"slug" => "teaching-and-research-in-an-international-context"
"yearMonth" => "2016-04"
"year" => "2016"
"title" => "Teaching and Research in an International Context"
"description" => "ESPOSITO VINZI, V. (2016). Teaching and Research in an International Context. <i>Reflets Hors-Série ESSEC Knowledge</i>, (2), pp. 16-17."
"authors" => array:1 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
]
"ouvrage" => ""
"keywords" => []
"updatedAt" => "2021-07-13 14:30:56"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => "16-17"
"volume" => null
"number" => "2"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue professionnelle"
"en" => "Professional journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => null
"en" => null
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
11 => Essec\Faculty\Model\Contribution {#2409
#_index: "academ_contributions"
#_id: "896"
#_source: array:18 [
"id" => "896"
"slug" => "covariance-versus-component-based-estimations-of-performance-in-green-supply-chain-management"
"yearMonth" => "2012-02"
"year" => "2012"
"title" => "Covariance versus Component-Based Estimations of Performance in Green Supply Chain Management"
"description" => "DE GIOVANNI, P. et ESPOSITO VINZI, V. (2012). Covariance versus Component-Based Estimations of Performance in Green Supply Chain Management. <i>International Journal of Production Economics</i>, 135(2), pp. 907-916."
"authors" => array:2 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "DE GIOVANNI Pietro"
]
]
"ouvrage" => ""
"keywords" => array:5 [
0 => "Green supply chain management"
1 => "Environmental performance"
2 => "Economic performance"
3 => "PLS Path Modeling"
4 => "Formative indicators"
]
"updatedAt" => "2021-02-02 16:16:18"
"publicationUrl" => "https://www.sciencedirect.com/science/article/abs/pii/S0925527311004634"
"publicationInfo" => array:3 [
"pages" => "907-916"
"volume" => "135"
"number" => "2"
]
"type" => array:2 [
"fr" => "Articles"
"en" => "Journal articles"
]
"support_type" => array:2 [
"fr" => "Revue scientifique"
"en" => "Scientific journal"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "We investigate the relationships between environmental management (EM) and performance to verify: whether the implementation of an effective internal environmental is a firm’s pre-condition to belong to a green supply chain; which type of environmental practices (either internal or external) contribute the most to increasing a firm’s performances; and whether performing the environment translates into higher economic performance. We use structural equation modeling for testing our research hypotheses on a large sample of Italian firms and estimate the structural paths between constructs by means of both covariance- and component-based approaches."
"en" => "We investigate the relationships between environmental management (EM) and performance to verify: whether the implementation of an effective internal environmental is a firm’s pre-condition to belong to a green supply chain; which type of environmental practices (either internal or external) contribute the most to increasing a firm’s performances; and whether performing the environment translates into higher economic performance. We use structural equation modeling for testing our research hypotheses on a large sample of Italian firms and estimate the structural paths between constructs by means of both covariance- and component-based approaches."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
12 => Essec\Faculty\Model\Contribution {#2410
#_index: "academ_contributions"
#_id: "4061"
#_source: array:18 [
"id" => "4061"
"slug" => "path-directions-incoherence-in-pls-path-modeling-a-prediction-oriented-solution"
"yearMonth" => "2016-12"
"year" => "2016"
"title" => "Path Directions Incoherence in PLS Path Modeling: A Prediction-Oriented Solution"
"description" => "DOLCE, P., ESPOSITO VINZI, V. et LAURO, C. (2016). Path Directions Incoherence in PLS Path Modeling: A Prediction-Oriented Solution. Dans: <i>The Multiple Facets of Partial Least Squares and Related Methods</i>. 1st ed. Springer, pp. 59-70."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "DOLCE P."
]
2 => array:1 [
"name" => "LAURO C."
]
]
"ouvrage" => "The Multiple Facets of Partial Least Squares and Related Methods"
"keywords" => []
"updatedAt" => "2021-09-24 10:33:27"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => "59-70"
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Chapitres"
"en" => "Book chapters"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "PLS-PM presents some inconsistencies in terms of coherence with the direction of the relationships specified in the path diagram (i.e. the path directions). The PLS-PM iterative algorithm analyses interdependence among blocks and misses to distinguish explicitly between dependent and explanatory blocks in the structural model. This inconsistency of PLS-PM is illustrated by using the simple two-blocks model. For the case of more than two blocks of variables, it is necessary a close look at the different criteria optimized by PLS-PM in order to show this issue. In general, the role of latent variables in the structural model depends on the way the outer weights are calculated. A recently proposed method, called Non-Symmetrical Component-based Path Modeling, which is based on the optimization of a redundancy-related criterion in a multi-block framework, respects the direction of the relationships specified in the structural model. In order to assess the quality of the model, we provide a new goodness-of-fit index based on redundancy criterion and prediction capability. Furthermore, we provide a procedure to address the problem of multicollinearity within blocks of variables."
"en" => "PLS-PM presents some inconsistencies in terms of coherence with the direction of the relationships specified in the path diagram (i.e. the path directions). The PLS-PM iterative algorithm analyses interdependence among blocks and misses to distinguish explicitly between dependent and explanatory blocks in the structural model. This inconsistency of PLS-PM is illustrated by using the simple two-blocks model. For the case of more than two blocks of variables, it is necessary a close look at the different criteria optimized by PLS-PM in order to show this issue. In general, the role of latent variables in the structural model depends on the way the outer weights are calculated. A recently proposed method, called Non-Symmetrical Component-based Path Modeling, which is based on the optimization of a redundancy-related criterion in a multi-block framework, respects the direction of the relationships specified in the structural model. In order to assess the quality of the model, we provide a new goodness-of-fit index based on redundancy criterion and prediction capability. Furthermore, we provide a procedure to address the problem of multicollinearity within blocks of variables."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
13 => Essec\Faculty\Model\Contribution {#2411
#_index: "academ_contributions"
#_id: "4070"
#_source: array:18 [
"id" => "4070"
"slug" => "pls-path-modeling-from-foundations-to-recent-developments-and-open-issues-for-model-assessment-and-improvement"
"yearMonth" => "2010-03"
"year" => "2010"
"title" => "PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement"
"description" => "ESPOSITO VINZI, V., TRINCHERA, L. et AMATO, S. (2010). PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement. Dans: <i>Handbook of Partial Least Squares: Concepts, Methods and Applications</i>. 1st ed. Springer, pp. 47-82."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "TRINCHERA L."
]
2 => array:1 [
"name" => "AMATO S."
]
]
"ouvrage" => "Handbook of Partial Least Squares: Concepts, Methods and Applications"
"keywords" => array:2 [
0 => "Mosel Validation"
1 => "Unobserved Heterogeneity"
]
"updatedAt" => "2021-09-06 14:06:32"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => "47-82"
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Chapitres"
"en" => "Book chapters"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "In this chapter the authors first present the basic algorithm of PLS Path Modeling by discussing some recently proposed estimation options. Namely, they introduce the development of new estimation modes and schemes for multidimensional (formative) constructs, i.e. the use of PLS Regression for formative indicators, and the use of path analysis on latent variable scores to estimate path coefficients. Furthermore, they focus on the quality indexes classically used to assess the performance of the model in terms of explained variances. They also present some recent developments in PLS PathModeling framework for model assessment and improvement, including a non-parametric GoF-based procedure for assessing the statistical significance of path coefficients. Finally, they discuss the REBUS-PLS algorithm that enables to improve the prediction performance of the model by capturing unobserved heterogeneity. The chapter ends with a brief sketch of open issues in the area that, in the Authors' opinion, currently represent major research challenges."
"en" => "In this chapter the authors first present the basic algorithm of PLS Path Modeling by discussing some recently proposed estimation options. Namely, they introduce the development of new estimation modes and schemes for multidimensional (formative) constructs, i.e. the use of PLS Regression for formative indicators, and the use of path analysis on latent variable scores to estimate path coefficients. Furthermore, they focus on the quality indexes classically used to assess the performance of the model in terms of explained variances. They also present some recent developments in PLS PathModeling framework for model assessment and improvement, including a non-parametric GoF-based procedure for assessing the statistical significance of path coefficients. Finally, they discuss the REBUS-PLS algorithm that enables to improve the prediction performance of the model by capturing unobserved heterogeneity. The chapter ends with a brief sketch of open issues in the area that, in the Authors' opinion, currently represent major research challenges."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
14 => Essec\Faculty\Model\Contribution {#2412
#_index: "academ_contributions"
#_id: "4088"
#_source: array:18 [
"id" => "4088"
"slug" => "predictive-path-modeling-through-pls-and-other-component-based-approaches-methodological-issues-and-performance-evaluation"
"yearMonth" => "2017-11"
"year" => "2017"
"title" => "Predictive Path Modeling Through PLS and Other Component-Based Approaches: Methodological Issues and Performance Evaluation"
"description" => "DOLCE, P., ESPOSITO VINZI, V. et CARLO, L. (2017). Predictive Path Modeling Through PLS and Other Component-Based Approaches: Methodological Issues and Performance Evaluation. Dans: <i>Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications</i>. 1st ed. Springer, pp. 153-172."
"authors" => array:3 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "DOLCE P."
]
2 => array:1 [
"name" => "CARLO L."
]
]
"ouvrage" => "Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications"
"keywords" => []
"updatedAt" => "2021-09-24 10:33:27"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => "153-172"
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Chapitres"
"en" => "Book chapters"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => """
This paper deals with the predictive use of PLS-PM and related\n
component-based methods in an attempt to contribute to the recent debates on the suitability of PLS-PM for predictive purposes. Appropriate measures and evaluation criteria for the assessment of models in terms of predictive ability are more and more desirable in PLS-PM. The performance of the models can be improved by choosing the appropriate parameter estimation procedure among the different existing ones or by making developments and modifications of the latter. A recent example of this type of work is the non-symmetrical approach for component-based path modeling, which leads to a new method, called non-symmetrical composite-based path modeling. In the composites construction stage, this new method explicitly takes into account the directions of the relationships in the inner model. Results are promising for this new method, especially in terms of predictive relevance.
"""
"en" => """
This paper deals with the predictive use of PLS-PM and related\n
component-based methods in an attempt to contribute to the recent debates on the suitability of PLS-PM for predictive purposes. Appropriate measures and evaluation criteria for the assessment of models in terms of predictive ability are more and more desirable in PLS-PM. The performance of the models can be improved by choosing the appropriate parameter estimation procedure among the different existing ones or by making developments and modifications of the latter. A recent example of this type of work is the non-symmetrical approach for component-based path modeling, which leads to a new method, called non-symmetrical composite-based path modeling. In the composites construction stage, this new method explicitly takes into account the directions of the relationships in the inner model. Results are promising for this new method, especially in terms of predictive relevance.
"""
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"parent": null
}
15 => Essec\Faculty\Model\Contribution {#2413
#_index: "academ_contributions"
#_id: "4236"
#_source: array:18 [
"id" => "4236"
"slug" => "the-use-of-partial-least-squares-methods-in-new-food-product-development"
"yearMonth" => "2007-01"
"year" => "2007"
"title" => "The Use of Partial Least Squares Methods in New Food Product Development"
"description" => "MARTENS, M., TENENHAUS, M., ESPOSITO VINZI, V. et MARTENS, H. (2007). The Use of Partial Least Squares Methods in New Food Product Development. Dans: <i>Consumer-led Food Product Development</i>. 1st ed. Woodhead Publishing, pp. 492-523."
"authors" => array:4 [
0 => array:3 [
"name" => "ESPOSITO VINZI Vincenzo"
"bid" => "B00067049"
"slug" => "esposito-vinzi-vincenzo"
]
1 => array:1 [
"name" => "MARTENS M."
]
2 => array:1 [
"name" => "TENENHAUS M."
]
3 => array:1 [
"name" => "MARTENS H."
]
]
"ouvrage" => "Consumer-led Food Product Development"
"keywords" => []
"updatedAt" => "2021-09-06 14:06:32"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => "492-523"
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Chapitres"
"en" => "Book chapters"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Successful food product development requires a clear vision and understanding of the interaction between consumers and product in a context and time perspective. PLS represents a certain modelling principle that describes multivariate observations in terms of their patterns of co-variation. This chapter first gives a short historical and motivational overview of PLS methods followed by a user-friendly theopretical introduction. A layperson's guide to the PLS methods then corresponds to examples in practice and reflections upon future trends."
"en" => "Successful food product development requires a clear vision and understanding of the interaction between consumers and product in a context and time perspective. PLS represents a certain modelling principle that describes multivariate observations in terms of their patterns of co-variation. This chapter first gives a short historical and motivational overview of PLS methods followed by a user-friendly theopretical introduction. A layperson's guide to the PLS methods then corresponds to examples in practice and reflections upon future trends."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-13T22:21:45.000Z"
]
+lang: "fr"
+"_type": "_doc"
+"_score": 4.5160065
+"