ESPOSITO VINZI Vincenzo

Vincenzo Vinzi possède un doctorat en statistique et informatique de l'Université Frederico II de Naples.

Il a été professeur de statistique à l'Université Frederico II jusqu'en 2007, professeur invité et conférencier dans de nombreuses universités et centres de recherche à travers l'Europe, les Etats-Unis et l’Asie.
Vincenzo Vinzi est aujourd'hui directeur général de l'ESSEC Business School.

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.

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.

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).

• 1997 : Ph.D. en Statistique et Informatique (Università di Napoli Federico II, Italie)
• 1993 : Master en Economie et Gestion (Università di Napoli Federico II, Italie)

Positions académiques principales

• 2010 - présent : Professeur (ESSEC Business School, France)
• 2008 - 2012 : Professeur Visitant (Università degli Studi di Cagliari, Italie)
• 2007 - 2010 : Professeur associé (ESSEC Business School, France)
• 1997 - 2007 : Professeur Associé de Statistiques (Università di Napoli Federico II, Italie)
• 2007 : Professeur Visitant (HEC Paris, France)
• 2001 : Professeur Visitant (Université Toulouse III Paul Sabatier, France)
• 2000 : Professeur Visitant (Charles University, République tchèque)

• 1998 - 1999 : Bourse Post-Doctorale (Università di Napoli Federico II, Italie)

• 2014 : Mention honorable, 8th International Conference on Partial Least Squares and Related Methods, pour son article "Quantile PLS Path Modeling" (avec C. Davino).
• 2012 : 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.
• 2010 : Article le plus cité (2005-2010) publié dans la revue “Computational Statistics and Data Analysis”: PLS Generalised Linear Regression, Elsevier
• 2010 : Prix de l'Article le plus cité 2005-2010. Computational Statistics and Data Analysis. PLS Path Modeling, Elsevier
• 2005 : 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 (HEC Paris, France)
• 2001 : Honoré lors de la cérémonie des prix de l'enseignement "Pierre Vernimmen-BNP Paris" 2001 à HEC School of Management (HEC Paris, France)
• 2001 : Prix ISOSS (Islamic Society of Statistical Sciences) en reconnaissance de sa contribution au développement des sciences statistiques (Islamic countries society for statistical sciences (ISOSS), Pakistan)

• DAVINO, C., ESPOSITO VINZI, V., SANTACREU VASUT, E. and VRANCEANU, R. (2019). An Attitude Model of Environmental Action: Evidence from Developing and Developed Countries. Social Indicators Research, 143(2), pp. 811-838.
• DOLCE, P., ESPOSITO VINZI, V. and LAURO, N.C. (2017). Non-Symmetrical Composite-Based Path Modeling. Advances in Data Analysis and Classification, 12(4), pp. 759-784.
• DAVINO, C., DOLCE, P., TARALLI, S. and 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. Social Indicators Research, 136(3), pp. 999-1029.
• DE GIOVANNI, P., ESPOSITO VINZI, V. and COLICEV, A. (2016). An Empirical Investigation of the Antecedents of Partnering Capability. International Journal of Production Economics, 178, pp. 144-153.
• COLICEV, A., O'CONNOR, P. and ESPOSITO VINZI, V. (2016). Is Investing in Social Media Really Worth It? How Brand Actions and User Actions Influence Brand Value. Service Science, 8(2), pp. 152-168.
• DAVINO, C. and ESPOSITO VINZI, V. (2016). Quantile Composite-Based Path Modeling. Advances in Data Analysis and Classification, 10(4), pp. 491-520.
• ESPOSITO VINZI, V. (2016). Teaching and Research in an International Context. Reflets Hors-Série ESSEC Knowledge, (2), pp. 16-17.
• GOTSCHOL, A., DE GIOVANNI, P. and ESPOSITO VINZI, V. (2014). Is Environmental Management an Economically Sustainable Business? Journal of Environmental Management, 144(1), pp. 73-82.
• ESPOSITO VINZI, V. and RUSOLILLO, G. (2014). Partial Least Squares Algorithms and Methods. Wires Computational Statistics, 5, pp. 1-19.
• DE GIOVANNI, P. and ESPOSITO VINZI, V. (2014). The Benefits of a Monitoring Strategy for Firms Subject to the Emissions Trading System. Transportation Research Part D: Transport and Environment, 33, pp. 220-233.
• DE GIOVANNI, P. and ESPOSITO VINZI, V. (2014). The Benefits of the Emissions Trading Mechanism for Italian Firms: A Multi-Group Analysis. International Journal of Physical Distribution and Logistics Management, 44(4), pp. 305-324.
• ZARGOUSH, M., ALEMI, F., ESPOSITO VINZI, V., VANG, J. and KHEIRBEK, R. (2014). A psychological approach to learning causal networks. Health Care Management Science, 17(2), pp. 194-201.
• ASSAKER, G., HALLAK, R., ESPOSITO VINZI, V. and O'CONNOR, P. (2013). An Empirical Operationalization of Countries' Destination Competitiveness Using Partial Least Squares Modelling. Journal of Travel Research, 53(1), pp. 26-43.
• DE GIOVANNI, P. and ESPOSITO VINZI, V. (2012). Covariance versus Component-Based Estimations of Performance in Green Supply Chain Management. International Journal of Production Economics, 135(2), pp. 907-916.
• CARBONE, V., MOATTI, V. and ESPOSITO VINZI, V. (2012). Mapping Corporate Responsibility and Sustainable Supply Chains: An Exploratory Perspective. Business Strategy and the Environment, 21(7), pp. 475-494.
• DESMET, P., LE NAGARD, E. and ESPOSITO VINZI, V. (2012). Refund Depth Effects on the Impact of Price-Beating Guarantees. Journal of Business Research, 65(5), pp. 603-608.
• ASSAKER, G., ESPOSITO VINZI, V. and 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. Tourism Management, 32(4), pp. 890-901.
• ASSAKER, G., ESPOSITO VINZI, V. and O'CONNOR, P. (2011). Extending a Tourism Causality Network: A Cross-Country, Multigroup Empirical Analysis. Tourism and Hospitality Research (formerly International Journal of Tourism and Hospitality Research: The Surrey Quarterly Review), 11(4), pp. 258-277.
• ASSAKER, G., ESPOSITO VINZI, V. and O'CONNOR, P. (2011). Modeling a Causality Network for Tourism: An Empirical Analysis. Journal of Modelling in Management, 6(3), pp. 258-278.
• ESPOSITO VINZI, V., TRINCHERA, L., SQUILLACCIOTTI, S. and TENENHAUS, M. (2008). REBUS-PLS: A Response-based Procedure for Detecting Unit Segments in PLS Path Modelling. Applied Stochastic Models in Business and Industry, 24(5), pp. 439-458.
• ESPOSITO VINZI, V., GUINOT, C. and SQUILLACCIOTTI, S. (2007). Two-step PLS Regression for L-structured Data: An Application in the Cosmetic Industry. Statistical Methods and Applications, pp. 263-278.
• BASTIEN, P., ESPOSITO VINZI, V. and TENENHAUS, M. (2005). PLS Generalised Regression. Computational Statistics and Data Analysis, 48(1), pp. 17-46.
• TENENHAUS, M., ESPOSITO VINZI, V., CHATELIN, Y.M. and LAURO, C. (2005). PLS Path Modeling. Computational Statistics and Data Analysis, 48(1), pp. 159-205.
• TENENHAUS, M. and ESPOSITO VINZI, V. (2005). PLS Regression, PLS Path Modeling and Generalized Procrustean Analysis: A Combined Approach for Multiblock Analysis. Journal of Chemometrics, 19, pp. 145-153.
• AMATO, S. and ESPOSITO VINZI, V. (2003). Bootstrap-based Q̂kh2 for the selection of components and variables in PLS regression. Chemometrics and Intelligent Laboratory Systems, 68(43862), pp. 5-16.
• ESPOSITO VINZI, V. (2001). Explanatory Methods for Comparative Analyses. Chemometrics and Intelligent Laboratory Systems, 58(2), pp. 275-286.
• ESPOSITO VINZI, V. and BALBI, S. (2000). Rotated Canonical Analysis onto a Reference Subspace. Computational Statistics and Data Analysis, 32(43924), pp. 395-410.
• ESPOSITO VINZI, V. and BALBI, S. (1999). A Simultaneous Non-Symmetrical Principal Component Analysis with a Group Structure. Applied Stochastic Models in Business and Industry, 15(4), pp. 301-309.
• ESPOSITO VINZI, V. (1998). Deterministic and Probabilistic Models for Symmetrical and Non Symmetrical Principal Component Analysis. Metron: international journal of statistics, LVI(43924), pp. 139-154.

• ABDI, H., ESPOSITO VINZI, V., RUSSOLILLO, G., SAPORTA, G. and TRINCHERA, L. [Eds] (2016). The Multiple Facets of Partial Least Squares and Related Methods. Springer.
• ESPOSITO VINZI, V. [Ed] (2013). New Perspectives in Partial Least Squares and Related Methods. Springer.
• ESPOSITO VINZI, V., CHIN, W.W., HENSELER, J. and WANG, H. [Eds] (2010). Handbook of Partial Least Squares: Concepts, Methods and Applications. Springer.
• ESPOSITO VINZI, V., LAURO, C., ANTOCH, J. and SAPORTA, G. [Eds] (2002). Multivariate Total Quality Control: Foundation and Recent Advances. Heidelberg: Physica-Verlag.

• DOLCE, P., ESPOSITO VINZI, V. and CARLO, L. (2017). Predictive Path Modeling Through PLS and Other Component-Based Approaches: Methodological Issues and Performance Evaluation. In: Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications. 1st ed. Springer, pp. 153-172.
• DAVINO, C., ESPOSITO VINZI, V. and DOLCE, P. (2016). Assessment and Validation in Quantile Composite-Based Path Modeling. In: The Multiple Facets of Partial Least Squares and Related Methods. 1st ed. Springer, pp. 169-180.
• DOLCE, P., ESPOSITO VINZI, V. and LAURO, C. (2016). Path Directions Incoherence in PLS Path Modeling: A Prediction-Oriented Solution. In: The Multiple Facets of Partial Least Squares and Related Methods. 1st ed. Springer, pp. 59-70.
• ESPOSITO VINZI, V. and TRINCHERA, L. (2013). Modèles d'Equations Structurelles, Approches basées sur les Composantes. In: Modèles à variables latentes et modèles de mélange. 1st ed. Éditions TECHNIP, pp. 153-176.
• ESPOSITO VINZI, V. and TRINCHERA, L. (2013). Modèles locaux issus d'un modèle d'équations structurelles. In: Modèles à variables latentes et modèles de mélange. 1st ed. Éditions TECHNIP, pp. 177-214.
• ESPOSITO VINZI, V., TRINCHERA, L. and AMATO, S. (2010). PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement. In: Handbook of Partial Least Squares: Concepts, Methods and Applications. 1st ed. Springer, pp. 47-82.
• MARTENS, M., TENENHAUS, M., ESPOSITO VINZI, V. and MARTENS, H. (2007). The Use of Partial Least Squares Methods in New Food Product Development. In: Consumer-led Food Product Development. 1st ed. Woodhead Publishing, pp. 492-523.
• ESPOSITO VINZI, V., LAURO, C. and AMATO, S. (2005). PLS Typological Regression: Algorithmic, Classification and Validation Issues. In: New Developments in Classification and Data Analysis. 1st ed. New York: Springer, pp. 133-140.
• LAURO, C. and ESPOSITO VINZI, V. (2002). Non Symmetrical Multivariate Statistical Methods for Quality Control and Batch Processes Monitoring. In: Analisi Multivariata per la Qualità Totale. 1st ed. Milano: FrancoAngeli, pp. 45-65.
• ESPOSITO VINZI, V. (2002). Non-Symmetrical Comparative Analysis for Quality Control. In: Multivariate Total Quality Control: Foundation and Recent Advances. 1st ed. Heidelberg: Springer, pp. 191-220.
• ESPOSITO VINZI, V. and LAURO, C. (2000). Non Symmetrical Data Analysis Approaches: Recent Developments and Perspectives. In: Data Analysis, Scientific Modeling and Practical Application. 1st ed. Heidelberg: Springer, pp. 219-232.
• ESPOSITO VINZI, V. and SCEPI, G. (1999). A Non Symmetrical Generalised Co-Structure Analysis for Inspecting Quality Control Data. In: Classification and Data Analysis. Theory and Application. 1st ed. Heidelberg: Springer, pp. 179-186.

• MOLA, F., CONVERSANO, C., ESPOSITO VINZI, V. and FISHER, N. (2009). EURISBIS' 09 - Book of Abstracts. Tilapia, Italy.
• ESPOSITO VINZI, V., TENENHAUS, M. and GUAN, R. (2009). Proceedings of the 6th International Conference on Partial Least Squares and Related Methods. Publishing House of Electronics Industry, China.

• ESPOSITO VINZI, V., RUSSOLILO, G. and TRINCHERA, L. (2010). An Integrated PLS Regression-based Approach for Multidimensional Blocks in PLS Path Modeling. In: 42èmes Journées de Statistique de la Société Française de Statistique. SFdS, Société Française de Statistique.
• RUSSOLILLO, G., TRINCHERA, L. and ESPOSITO VINZI, V. (2009). A Non Linear Regularized Component-based Approach to Structural Equation Modeling. In: Statistical Methods for the Analysis of Large Data-sets. CLEUP, pp. 195-198.
• TRINCHERA, L. and ESPOSITO VINZI, V. (2008). Assessment of Latent Class Detection in Component-based Structural Equation Modeling: The Group Quality Index. In: First Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Edizioni Scientifiche Italiane, pp. 425-428.
• ESPOSITO VINZI, V. and TRINCHERA, L. (2008). Latent Class Detection in Component-Based Structural Equation Modeling. In: XLIV Scientific Meeting of the Italian Statistical Society (SIS). Proceedings of the XLIV SIS Scientific Meeting. CLEUP, pp. 147-154.
• ESPOSITO VINZI, V., FAHMY, T., CHATELIN, Y.M. and TENENHAUS, M. (2007). PLS Path Modeling: Some Recent Methodological Developments, a Software Integrated in XLSTAT and its Application to Customer Satisfaction Studies. In: 2007 World Marketing Congress (CD-Rom). Academy of Marketing Science (AMS).
• ESPOSITO VINZI, V., TRINCHERA, L. and SQUILLACCIOTTI, S. (2006). PLS Typological Path Modeling: a model-based approach to classification. In: Knowledge Extraction and Modeling Workshop. Naples: Tilapia, pp. 87-88.
• TENENHAUS, M., AMATO, S. and ESPOSITO VINZI, V. (2004). A global Goodness-of-Fit index for PLS structural equation modelling. In: XLII SIS Scientific Meeting. Padova: CLEUP, pp. 739-742.
• SQUILLACCIOTTI, S., GUINOT, C. and ESPOSITO VINZI, V. (2004). Orthogonal Projection to Latent Structures in Models for L-structured Data. In: XLII SIS Scientific Meeting. Padova: CLEUP, pp. 63-66.
• ESPOSITO VINZI, V., SQUILLACCIOTTI, S., AMATO, S. and GUINOT, C. (2004). Stratégie de comparaison de modèles PLS pour l'étude des préférences des consommateurs avec informations externes. In: 8émes Journées Européennes Agro-Industrie et Méthodes Statistiques. Rennes: École nationale supérieure agronomique de Rennes (ENSAR), pp. 199-206.
• ESPOSITO VINZI, V. and SCEPI, G. (2003). PLS Path Modelling and Multiple Tables Analysis: an integrated approach for time dependent data. In: PLS and Related Methods. Paris: Decisia, pp. 453-463.
• ESPOSITO VINZI, V. and LAURO, C. (2003). PLS Regression and Classification. In: PLS and related methods, Proceedings of the PLS'03 International Symposium. Paris: Decisia, pp. 45-56.
• ESPOSITO VINZI, V., LAURO, C. and AMATO, S. (2003). PLS Typological Regression: algorithmic, validation and classification issues. In: Riunione Scientifica del Gruppo di Classificazione e Analisi dei Dati della SIS. Bologna: CLUEB, pp. 163-166.
• ESPOSITO VINZI, V., SQUILLACCIOTTI, S., GUINOT, C. and TENENHAUS, M. (2003). PLS-based strategies in consumer preferences and sensory analysis: an application to the cosmetic industry. In: PLS and Related Methods. Paris: Decisia, pp. 311-323.
• ESPOSITO VINZI, V., GUINOT, C. and SQUILLACCIOTTI, S. (2003). Two-step PLS Regression for L-Structured Data: an application in the cosmetics industry. In: Proceedings of the SIS Conference on "Multivariate Statistical Analysis for Social Sciences, Economics, Natural Sciences and Technology. Naples: RCE Edizioni, pp. 157-169.
• ESPOSITO VINZI, V. and LAURO, C. (2002). Proceedings of the XLI SIS Scientific Meetingand a System for the European Customer Satisfaction. In: Proceedings of the XLI SIS Scientific Meeting. Milan: CLEUP, pp. 201-210.
• ESPOSITO VINZI, V., BASTIEN, P. and TENENHAUS, M. (2002). Régression linéaire généralisée PLS. In: HEC School of Business and Management. Jouy-en-Josas: HEC.
• ESPOSITO VINZI, V., CHATELIN, Y.M. and TENENHAUS, M. (2002). State-of-art on PLS Path Modeling through the available software. In: HEC School of Business and Management. Jouy-en-Josas: HEC.
• ESPOSITO VINZI, V. (2002). The PLS approach to Generalized Linear Models and Casual Path Modeling: Algorithms and Applications. In: Geoscience and Remote Sensing, Proceedings of the 34th Symposium on the Interface. Washington DC: Interfaces, pp. 447-447.
• ESPOSITO VINZI, V. and SCEPI, G. (2002). Three-Way Data Analysis and PLS Path Modeling for Estimating Components of a Temporal Process. In: Atti della XLI Riunione Scientifica SIS. Milan: CLEUP, pp. 387-390.
• ESPOSITO VINZI, V. and AMATO, S. (2001). Cross validated Q2 bootstrap distribution estimated for the choice of significant components in Partial Least Squared Regression. In: PLS and Related Methods. Paris: CISIA, pp. 344-356.
• ESPOSITO VINZI, V. and TENENHAUS, M. (2001). PLS Logistic Regression. In: PLS and Related Methods. Paris: CISIA, pp. 117-130.
• ESPOSITO VINZI, V., LAURO, C. and SCEPI, G. (2001). Visualisation and Synthesis of CustomerSatisfaction in terms of Simbolic Data Analysis. In: Processes and Statistical Methods for Evaluation. Rome: Centro Italiano Studi Ufologici (CISU), pp. 129-136.
• ESPOSITO VINZI, V. and DAVINO, C. (2000). Multivariate Approaches for Aggregate Time Series. In: International Symposium on Computational Statistics. Utrecht: Physica-Verlag, pp. 265-270.
• ESPOSITO VINZI, V. and LAURO, C. (2000). Non Symmetrical Multivariate Analyses for Sensory Data. In: Proceedings of Agro-Industrie et Statistique Conference. Pau: Université de Pau et des pays de l’Adour (UPPA).
• ESPOSITO VINZI, V. (2000). Non-Symmetrical Comparative Analyses for Quality Control. In: 3rd Millenium Challenge for Industrial Statistics. Spetses: International Association for Statistical Computing (IASC).
• ESPOSITO VINZI, V. (1999). Explanatory Methods for Comparative Analyses. In: Proceedings of Les Methodes PLS. Montreuil: CISIA, pp. 41-60.
• ESPOSITO VINZI, V. and LAURO, C. (1999). Multivariate Statistical Analyses for Total Quality Measurement. In: Proceedings of the IX International Symposium on Applied Stochastic Models and Data Analysis (ASMDA'99). Lisbon: Instituto Nacional De Estatistica (INE), pp. 5-12.
• ESPOSITO VINZI, V. and LAURO, C. (1999). Multivariate Statistical Methods for Total Quality Control and Planning. In: Proceedings of the VI Islamic Countries Conference on Statistical Sciences. Lahore: Islamic Countries Society of Statistical Sciences (ISOSS), pp. 69-80.
• ESPOSITO VINZI, V. and BALBI, S. (1998). Comparing advertising campaigns by means of textual data analysis with external information. In: Proceedings of 4èmes Journées Internationales d'Analyse Statistique des Données Textuelles (JADT'98). Nice: UPRESA, pp. 39-47.
• ESPOSITO VINZI, V. and LAURO, C. (1998). Non Symmetrical Data Analysis: New Methods and Applications. In: Proceedings of 3rd conference on Statistical Computing of the Asian Regional Section (ARS) of IASC. Manila: International Association for Statistical Computing (IASC), pp. 433-444.
• ESPOSITO VINZI, V. (1997). A Comparative Non Symmetrical Analysis with Stratified Observations. In: SIS Conference "Statistics for Enterprises". Torino: Tirrenia Stampatori, pp. 343-350.
• ESPOSITO VINZI, V. and BALBI, S. (1997). Representing Gaps by a Simultaneous Principal Component Analysis onto a Reference Subspace. In: VIII International Symposium on Applied Stochastic Models and Data Analysis (ASMDA97). Naples: Rocco Curto Editore, pp. 135-140.
• ESPOSITO VINZI, V. and BALBI, S. (1997). Rotated Canonical Analysis onto a Reference Subspace. In: 2nd World Conference of IASC. Pasadena: University of Southern California, pp. 72-72.
• ESPOSITO VINZI, V. and SCEPI, G. (1997). Visualising Quality Control Data by Non Symmetrical Generalised Co-Structure Analysis. In: Classification Group of the Italian Statistical Society associated with the International Federation of Classification Societies. Pescara: La Stampa, pp. 53-56.
• ESPOSITO VINZI, V. (1996). Allowing for Structures on Individuals in Principal Component Analysis onto a Reference Subspace. In: XII biannual Symposium in Computational Statistics. Barcelona: Universitat Politècnica de Catalunya, pp. 45-46.
• ESPOSITO VINZI, V. (1995). Inferential aspects and relevance of metrics in the models for Principal Component Analysis and PCA onto a Reference Subspace. In: Workshop on Multidimensional Data Analysis. Naples: pp. 91-92.

• ESPOSITO VINZI, V., TRINCHERA, L. and RUSSOLILLO, G. (2015). Advances in Composite-Based Path Modeling for Synthetic Indicators. In: 10th Scientific Meeting of the Classification and Data Analysis Group.
• ESPOSITO VINZI, V., TRINCHERA, L. and RUSSOLILLO, G. (2015). Multidimensional and Non-Metric Extensions of PLS Path Modeling for Synthetic Indicators. In: Dealing with Complexity in Society: from Plurality of Data to Synthetic Indicators.
• DAVINO, C., DOLCE, P., ESPOSITO VINZI, V. and TARALLI, S. (2015). Quantile Composite-Based Path Modeling for Measuring Equitable and Sustainable Well-Being. In: Dealing with Complexity in Society: from Plurality of Data to Synthetic Indicators.
• TRINCHERA, L., RUSSOLILLO, G. and ESPOSITO VINZI, V. (2014). Component-based Multi-block Path Modeling for building Composite Indicators. In: Conference of European Statistics Stakeholders.
• ESPOSITO VINZI, V., TRINCHERA, L. and RUSSOLILL0, G. (2014). Component-based Predictive Path Modeling by means of Projections to Latent Structures: Model Assessment and Interpretation Features with Business-related Applications. In: ISI Regional Statistics Conference 2014 (ISI-RSC 2014): Statistical Science for a Better Tomorrow.
• ESPOSITO VINZI, V. (2014). Component-Based Redundancy Path-Modeling. In: 2014 International Symposium on Business and Industrial Statistics.
• DOLCE, P., ESPOSITO VINZI, V. and LAURO, C. (2014). Predictive Component-based Multi-block Path Modeling. In: 21st International Conference on Computational Statistics.
• ESPOSITO VINZI, V., DAVINO, C. and DOLLE, P. (2014). Quantile PLSPM vs. Classical PLSPM: Methods, Performances and Interpretations. In: 7th International Conference of the ERCIM WG on Computational and Methodological Statistics.
• TRINCHERA, L. and ESPOSITO VINZI, V. (2013). Component-based Predictive and Exploratory Path Modeling and Multi-block Data Analysis. In: 59th World Statistics Congress of the International Statistical Institute (ISI).
• ESPOSITO VINZI, V. (2012). Component-Based Approaches to Multi-Block Path Modeling with Business and Industrial Applications. In: International Symposium on Business and Industrial Statistics 2012 (ISBIS 2012).
• ESPOSITO VINZI, V. (2012). Component-based Approaches to Structural Equation Models: Methodological Issues and Empirical Performances. In: International Symposium on Business and Industrial Statistics.
• ESPOSITO VINZI, V. (2012). Knowledge Extraction Through Predictive Path Modeling. In: 20th International Conference on Computational Statistics 2012.
• ESPOSITO VINZI, V., TRINCHERA, L., CHIN, W. and HENSELER, J. (2012). Methodological links and empirical comparisons between Generalized Structured Component Analysis, PLS Path Modeling and Maximum Sum of Explained Variance. In: 7th International Conference on Partial Least Squares and Related Methods.
• TRINCHERA, L., RUSSOLILLO, G., CAPELLINI, A. and ESPOSITO VINZI, V. (2012). Multidimensional Latent Variables in PLS Path Modeling. In: 20th International Conference on Computational Statistics 2012.
• ESPOSITO VINZI, V. and TRINCHERA, L. (2011). Component-based approaches to Structural Equation Modeling and Multi-Block Analysis: A Comparative Study. In: ESSEC-SUPELEC Workshop Series on “PLS Developments” #5.
• TRINCHERA, L., RUSSOLILLO, G. and ESPOSITO VINZI, V. (2011). Multi-component Estimation of PLS Predictive Path Modeling. In: 58th World Statistics Congress of the International Statistical Institute (ISI 2011).
• ESPOSITO VINZI, V., TRINCHERA, L., TENENHAUS, A. and TENENHAUS, M. (2011). New Variable Selection Methods in Case of Many Predictors. In: ESSEC-SUPELEC Workshop Series on “PLS Developments” #5.
• ESPOSITO VINZI, V. and RUSSOLILLO, G. (2010). A Comprehensive PLS Rationale for Multidimensional Blocks in Predictive Path Models. In: ISBIS-2010: International Symposium on Business and Industrial Statistics.
• ESPOSITO VINZI, V., RUSSOLILLO, G. and TRINCHERA, L. (2010). An integrated PLS Regression-based approach for multidimensional blocks in PLS Path Modeling.
• TRINCHERA, L., ESPOSITO VINZI, V., TENENHAUS, A. and TENENHAUS, M. (2010). Correlated Component PLS-type Regression with Variable Selection Features for Large Datasets. In: Computing & Statistics (ERCIM'10).
• ESPOSITO VINZI, V., JOUFFE, L., RUSSOLILLO, G., TRINCHERA, L. and ZARGOUSH, M. (2010). Integrated Approaches for PLS Path Modeling: PLS Regression Estimation Modes and Probabilistic Networks. In: 10th SENSOMETRICS Meeting.
• ESPOSITO VINZI, V. and ZARGOUSH, M. (2010). Knowledge Extraction by Investigating Model Uncertainty thorugh Predictive Path Modeling and Probabilistic Networks. In: Joint Meeting (GfKj-CLADAG'10).
• ESPOSITO VINZI, V. (2009). A Joint Partial Least Squares Component-based Approach to Structural Equation Modeling and Multi-block Data Analysis. In: PLS'09 - 6th International Conference on Partial Least Squares and Related Methods.
• ESPOSITO VINZI, V., RUSSOLILLO, G. and TRINCHERA, L. (2009). A Joint Use of PLS Regression and PLS Path Modelling for a Data Analysis Approach to Latent Variable Modelling. In: 57th Session of the International Statistical Institute (ISI).
• ESPOSITO VINZI, V., RUSSOLILLO, G. and TRINCHERA, L. (2009). A Non Linear Regularized Component-based Approach to Structural Equation Modeling.
• ESPOSITO VINZI, V. and DE GIOVANNI, P. (2009). Different Approaches to Structural Equation Modelling in Presence of a Group Structure: Contributions to the Analysis of Environmental Initiatives and Performances of Italian Firms. In: EURISBIS'09 - European Regional Meeting of the International Society for Business and Industrial Statistics.
• ESPOSITO VINZI, V. (2009). PLS Path Modeling and PLS Regression: a Joint Partial Least Squares Component-based Approach to Structural Equation Modeling. In: IFCS@GFKL - Classification as a Tool for Research (IFCS 2009).
• TRINCHERA, L. and ESPOSITO VINZI, V. (2008). A Comprehensive Partial Least Squares Approach to Component-Based Structural Equation Modeling. In: 32nd Annual Conference of the German Classification Society (GfKl).
• ESPOSITO VINZI, V. (2008). A Partial Least Squares Comprehensive Environment: In: 7th International Conference on Social Science Methodology, RC33 - Logic and Methodology in Sociology.
• TRINCHERA, L. and ESPOSITO VINZI, V. (2008). Assessing the Performance of REBUS-PLS for Latent Class Identification in PLS Path Modeling: a Simulation Study. In: XLIV Scientific Meeting of the Italian Statistical Society.
• ESPOSITO VINZI, V. (2008). Current Issues and Future Challenges in Component-based Structure. In: 7th International Conference on Social Science Methodology, RC33 - Logic and Methodology in Sociology.
• ESPOSITO VINZI, V. and TRINCHERA, L. (2008). Formative Indicators in Structural Equation Models and Highly Correlated Latent Variable Scores: a Full PLS-based Approach. In: International Symposium on Business and Industrial Statistics with emphasis on Quantitative Analytics for Banking, Finance and Insurance.
• ESPOSITO VINZI, V. and DE GIOVANNI, P. (2008). Recent Developments on Formative Constructs and a Comprehensive Environment for PLS Path Modelling. In: Structural Equation Models, PLS Path Modeling and Multi-block Techniques in Sensory and Consumer Analysis.
• ESPOSITO VINZI, V. (2008). The Contribution of PLS Regression to PLS Path Modelling: Formative Measurement Model and Causality Network in the Structural Model. In: Joint Statistical Meetings (JSM) 2008 - American Statistical Association.
• ROMANO, R., ESPOSITO VINZI, V. and PALUMBO, F. (2007). Fuzzy PLS Path Modeling for Crisp and Interval Data: A New Tool for Handling Sensory Data.
• ESPOSITO VINZI, V., ROMANO, R. and TRINCHERA, L. (2007). Fuzzy PLS Path Modeling for Latent Class Analysis: Capturing Unobserved Heterogeneity in Consumers' Preference.
• ESPOSITO VINZI, V., TRINCHERA, L. and ROMANO, R. (2007). Fuzzy PLS Path Modeling for Latent Class Detection.
• TRINCHERA, L., ROMANO, R. and ESPOSITO VINZI, V. (2007). Latent Segments Detection in PLS Path Modeling: A Tool to Capture Unobserved Heterogeneity in Customers' Preferences.
• ESPOSITO VINZI, V. (2007). PLS (Partial Least Squares) Path Modeling: Methodological Foundations and the XLSTAT-PLSPM Software.
• ESPOSITO VINZI, V. (2007). PLS Path Modeling and the PLEASURE (Partial LEAst Squares strUctural Relationships Estimation) Software.
• ESPOSITO VINZI, V., FAHMY, T., CHATELIN, Y.M. and TENEHAUS, M. (2007). PLS Path Modeling: Some Recent Methodological Developments, a Software Integrated in XLSTAT and its Application to Customer Satisfaction Studies.
• ESPOSITO VINZI, V. and FAHMY, T. (2007). Recent Developments in PLS Path Modeling: Methodological Issues and Applications.
• ESPOSITO VINZI, V. (2007). The PLS approach to data exploration and Modeling: An Everlasting Matter of Dispute or a Playground for Integrating Different Cultures?
• ESPOSITO VINZI, V., TRINCHERA, L., AMBROISINE, L., SQUILLACCIOTTI, S. and TENENHAUS, M. (2004). Linear and Non-Linear PLS Models for the Prediction of Consumer Preferences using the notion of "Average Judge". In: A Sense of Identity, European Conference on Sensory Science of Food and Beverages. Florence.
• ESPOSITO VINZI, V. and PALUMBO, F. (1999). An Index for Selecting Mixed Explanatory Variables in the Analysis of Dependence. In: 52nd Session of the International Statistical Institute. Helsinki.

• ESPOSITO VINZI, V. (2009). Préface : Special issue on the 6th International Symposium on Business and Industrial Statistics (ISBIS-6)., 4(25), pp. 421-424.

• DAVINO, C., ESPOSITO VINZI, V., SANTACREU VASUT, E. and VRANCEANU, R. (2017). An Attitude Model of Environmental Action: Evidence from Developing and Developed Countries. ESSEC Business School.
• ESPOSITO VINZI, V., RINGLE, C.M., SQUILLACCIOTTI, S. and TRINCHERA, L. (2007). Capturing and Treating Unobserved Heterogeneity by Response Based Segmentation in PLS Path Modeling. A Comparison of Alternative Methods by Computational Experiments. ESSEC Business School.

• ESPOSITO VINZI, V. and GASPAR, J.M. (2016). « Je suis un chercheur ; je ne suis pas capable de parler de tout et n’importe quoi. ». Monde des Grandes Écoles Universités Le Magazine.

• 2015 "Composite-based Path Modeling for Multi-Bock Data Analysis", Research Seminar ( Università degli Studi di Cagliari Italie)
• 2014 "Component-based Path Modeling", Tutoriel pour une audience expérimentée à la 7ème Conférence Internationale du ERCIM Working Group on Computational and Methodological Statistics ( European Research Consortium for Informatics and Mathematics (ERCIM) France)
• 2012 "A 3-day Course on PLS Path Modeling: Basic Concepts and Foundations, Advances and Applications". Cours de Formation pour des Chercheurs et Cadres ( Association for Information Systems (AIS) États-Unis)
• 2012 "PLS Path Modeling and PLS Regression", Pré-Conférence, PLS 2012 Doctoral Workshop ( The Sensometric Society États-Unis)
• 2011 "PLS Predictive Path Models with applications to Customer Satisfaction Measurement and Sensory Data Analysis", ISBIS Sardegna International Statistics Summer School ( Università degli Studi di Cagliari Italie)
• 2011 "Statistical Soft Modeling for Measuring Customer Satisfaction via Composite Indicators", Post-graduate course ( Università degli Studi di Cagliari Italie)
• 2010 "PLS Path Modeling with XLSTAT-PLSPM", Atelier Pré-Conférence Sensometrics'10 ( The Sensometric Society Pays-Bas)
• 2009 "A 3-day Course on PLS Path Modeling: Basic Concepts and Foundations, Advances and Applications".Cours de Formation pour des Chercheurs et Cadres ( Addinsoft France)
• 2009 "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 ( Université Strasbourg I France)
• 2009 "PLS Path Modeling: A Comprehensive Course" ( Lillehammer University College Norvège)
• 2009 "PLS Path Modeling: Methodological Foundations, Recent Developments and Software Applications" - Tutoriel à 6th International Conference on Partial Least Squares and Related Methods ( Peking University Chine)
• 2009 “A Comprehensive PLS-based Environment to Structural Equation Modeling” ( Conservatoire National des Arts & Métiers (CNAM) France)
• 2009 “Component-based Structural Equation Models: the PLS Path Modelling Approach” ( Sorbonne Université France)
• 2009 “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 ( Università di Macerata Italie)
• 2009 “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) ( International Federation of Classification Societies (IFCS) Allemagne)
• 2008 "A Comprehensive PLS Environment to Structural Equation Modeling" ( Università di Napoli Federico II Italie)
• 2008 "Detection and Assessment of Local Models in PLS Path Modeling" ( Università di Napoli Federico II Italie)
• 2008 "Model assessment and multi-group comparison in PLS Path Modeling: methodological foundations and the XLSTAT-PLSPM software" ( Università di Napoli Federico II Italie)
• 2008 “Component-based Structural Equation Models” – Journées d'Etudes en Statistique (JES) de la Société Française de Statistique (SFdS) ( Société Française de Statistique (SFdS) France)
• 2008 - 2010 : “Factor Analysis and Classification” – Cours de formation pour les cadres juniors et seniors de EUROSTAT (Statistical Office of the European Union) ( Eurostat Luxembourg)
• 2008 “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) ( Eurostat Luxembourg)
• 2008 “Local Model in Component-based SEM” – Journées d'Etudes en Statistique (JES) de la Société Française de Statistique (SFdS) ( Société Française de Statistique (SFdS) France)
• 2008 “Path Analysis, Confirmatory Factor Analysis and Structural Equation Modelling” ( Sorbonne Université France)
• 2008 - 2010 : “Regression and Analysis of Variance” – Cours de formation pour les cadres juniors et seniors de EUROSTAT (Statistical Office of the European Union) ( Eurostat Luxembourg)
• 2008 “Statistical Modelling for Measuring Customer Satisfaction” ( Università degli Studi di Cagliari Italie)
• 2007 “PLS (Partial Least Squares) Path Modeling” – 11ème Cours du programme ECAS (European Courses in Advanced Statistics) sur le thème: “Structural Equation Models” ( Université Grenoble Alpes France)
• 2007 “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 ( HEC Paris France)
• 2007 “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 ( HEC Paris France)
• 2005 “The Classical (ML) and the Partial Least Squares Approaches to Study Causality Relationships by Structural Equation Modeling”– Séminaire de Finance Quantitative ( Humboldt-Universität zu Berlin Allemagne)
• 2005 “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” ( Société Française de Statistique (SFdS) France)
• 2005 “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 ( Italian Sensory Sciences Society (SISS) Italie)
• 2004 A Modeling Approach for measuring Customer Satisfaction – Cours de Statistiques à la Faculté de Sciences Politiques, University of Macerata ( Università di Macerata Italie)
• 2004 PLS Model Evaluation and Comparisons with LISREL – PLS Summer School, Technical University of Berlin ( Technische Universität Berlin Allemagne)
• 2004 Use of PLS Graph for the European Customer Satisfaction Index – PLS Summer School, Technical University of Berlin ( Technische Universität Berlin Allemagne)
• 2003 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 ( International Association for Statistical Computing (IASC) Portugal)
• 2003 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). ( International Conference on Partial Least Squares and Related Methods Portugal)
• 2003 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 ( Università di Napoli Federico II Italie)
• 2003 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 ( Universitat Politècnica de Catalunya Espagne)
• 2001 Explanatory Analyses – Module du cours sur l'analyse de données multidimensionnelle pour le Master en Marketing, LUISS Management University ( Luiss University Italie)
• 2001 LISREL and PLS Path Modeling – series of lectures at the IASC-IASS Joint International Summer School on Knowledge Discovery & Large Surveys Design and Analysis ( International Association for Statistical Computing (IASC) Italie)
• 2001 - 2006 : “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” ( Università di Napoli Federico II Italie)
• 2000 Analysts of Scenarios on International Markets (post-graduate course). Module Statistiques ( Università di Napoli Federico II Italie)
• 2000 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 ( Università di Napoli Federico II Italie)
• 1999 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 ( International Association for Statistical Computing (IASC) Grèce)
• 1998 Experts of Tourism Marketing (post-graduate course). Module Statistiques ( Università di Napoli Federico II Italie)
• 1998 Experts of Typical Food Products Marketing (post-graduate course). Module Statistiques ( Università di Napoli Federico II Italie)
• 1997 Experts in Quality Management for Small Enterprises (post-graduate course). Module Statistiques ( Università di Napoli Federico II Italie)
• 1997 Market Analysts: Methodologies and Experiences supporting Small Enterprises (post-graduate course). Module Statistiques ( Università di Napoli Federico II Italie)
• 1997 Statistics for Business and Management - cours au "Master in Economy and Management for the Small Enterprises" de la Faculté d'Economie de University of Naples Federico II ( Università di Napoli Federico II Italie)