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TRINCHERA Laura

PhD, Statistics

Laura TRINCHERA is Full Professor of Statistics at NEOMA BS.

She holds a Master Degree in Business and Economics and a PhD in Statistics (2008) from the University of Naples « Federico II », Italy.

Her research is on Data Science with an emphasis on Structural Equation Modeling, Partial Least Squares (PLS) Methods, Clustering and Classification algorithms. Her research is published in high-ranking journals such as Structural Equation Modeling: A Multidisciplinary Journal, Journal of Production Economics, Journal of Organizational Behavior, Recherche et Applications en Marketing, International Journal of Information Management and Management Decision.

She has been visiting researcher at University of California at Santa Barbara, University of Michigan at Ann Arbor, University of Hamburg, Charles University in Prague, HEC School of Management in Paris and external lecturer at ESSEC Business School, SciencesPo Paris and Sorbonne University at Abu Dhabi.

Areas of research

  • Multivariate Data Analysis
  • Variable selection
  • Clustering and Classification
  • Partial Least Squares Regression and Path Modeling
  • Structural Equation Modeling

Recent academic contributions

  • GONZALEZ CORTES, D., E. ONIEVA, I. P. LÓPEZ, L. TRINCHERA, J. WU, "Autoencoder-Enhanced Clustering: A Dimensionality Reduction Approach to Financial Time Series", IEEE Access, February 2024, vol. 12, pp. 16999-17009
    DOI : 10.1109/ACCESS.2024.3359413
  • FOSSO WAMBA, S., M. M. QUEIROZ, L. TRINCHERA, "The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA", International Journal of Production Economics, February 2024, vol. 268, pp. 109131
    DOI : 10.1016/j.ijpe.2023.109131
  • LAMBERTI, G., T. ALUJA-BANET, L. TRINCHERA, "University image, hard skills or soft skills: which matters most for which graduate students?,", Quality & Quantity, December 2023, vol. 57, no. 4 supplement, pp. 553–574
    DOI : 10.1007/s11135-021-01149-z

Article

  • GONZALEZ CORTES, D., E. ONIEVA, I. P. LÓPEZ, L. TRINCHERA, J. WU, "Autoencoder-Enhanced Clustering: A Dimensionality Reduction Approach to Financial Time Series", IEEE Access, February 2024, vol. 12, pp. 16999-17009
    DOI : 10.1109/ACCESS.2024.3359413
  • FOSSO WAMBA, S., M. M. QUEIROZ, L. TRINCHERA, "The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA", International Journal of Production Economics, February 2024, vol. 268, pp. 109131
    DOI : 10.1016/j.ijpe.2023.109131
  • SCHUBERTH, F., Y. ROSSEEL, M. RÖNKKÖ, L. TRINCHERA, R. B. KLINE, J. HENSELER, "Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling: A Comment on Yuan and Deng (2021)", Structural Equation Modeling: A Multidisciplinary Journal, April 2023, vol. 30, no. 3, pp. 339-345
    DOI : 10.1080/10705511.2022.2134140
  • LAMBERTI, G., T. ALUJA-BANET, L. TRINCHERA, "University image, hard skills or soft skills: which matters most for which graduate students?,", Quality & Quantity, December 2023, vol. 57, no. 4 supplement, pp. 553–574
    DOI : 10.1007/s11135-021-01149-z
  • MASSIERA, P., L. TRINCHERA, "Taxonomie des configurations de capacités marketing complémentaires au sein des PME/ Taxonomy of complementary marketing capabilities configurations in SMES /Taxonomía de las configuraciones de las capacidades complementarias de marketing en las PYMES", Management International, October 2022, vol. 26, no. 4, pp. 52–77
    DOI : 10.7202/1092158ar
  • MARCOULIDES, K., L. TRINCHERA, "Residual-Based Algorithm for Growth Mixture Modeling: A Monte Carlo Simulation Study", Frontiers in Psychology, February 2021, vol. 12, pp. 1-7
    DOI : 10.3389/fpsyg.2021.618647
  • GODEFROY, V., L. TRINCHERA, G. DORARD, "Optimizing the empirical assessment of orthorexia nervosa through EHQ and clarifying its relationship with BMI", Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity, March 2021, vol. 26, no. 2, pp. 649-659
    DOI : 10.1007/s40519-020-00909-4
  • FOSSO WAMBA, S., M. QUEIROZ, L. TRINCHERA, "Dynamics between blockchain adoption determinants and supply chain performance: An empirical investigation", International Journal of Production Economics, November 2020, vol. 229, pp. 107791
    DOI : 10.1016/j.ijpe.2020.107791
  • FOSSO WAMBA, S., S. AKTER, , L.TRINCHERA, M.DE BOURMONT, "Turning Information Quality into Firm Performance in Big Data Economy", Management Decision, September 2019, vol. 57, no. 8, pp. 1756-1783
    DOI : 10.1108/MD-04-2018-0394
  • MARCOULIDES, K., L.TRINCHERA, "Detecting Unobserved Heterogeneity in Latent Growth Curve Models", Structural Equation Modeling: A Multidisciplinary Journal, March 2019, vol. 26, no. 3, pp. 390-401
    DOI : 10.1080/10705511.2018.1534591
  • GIRAUD, L., A. BERNARD, L. TRINCHERA, "Early career values and individual factors of objective career success", Career Development International, September 2019, vol. 24, no. 4, pp. 350-382
    DOI : 10.1108/CDI-06-2017-0093
  • TRINCHERA, L., N.MARIE, G. A.MARCOULIDES, "A Distribution Free Interval Estimate for Coefficient Alpha", Structural Equation Modeling: A Multidisciplinary Journal, October 2018, vol. 25, no. 6, pp. 876-887
    DOI : 10.1080/10705511.2018.1431544
  • GODEFROY, V., C.CHAMPEL, L.TRINCHERA, N.RIGAL, "Disentangling the effects of parental food restriction on child’s risk of overweight", Appetite, April 2018, no. 123, pp. 82-90
    DOI : 10.1016/j.appet.2017.12.008
  • MASSIERA, P., L.TRINCHERA, G.RUSSOLILLO, "Évaluation de la présence des capacités marketing : Proposition d’un index multidimensionnel et hiérarchique", Recherche et Applications en Marketing, January 2018, vol. 33, no. 1, pp. 31-55
    DOI : 10.1177/0767370117741108
  • AZZALI, S., T. MAZZA, L. FORNACIARI, L. TRINCHERA, "Effects of Materiality Assessment on Internal Controls over Financial Reporting Maturity", International Journal of Business and Management, December 2018, vol. 13, no. 11, pp. 17
    DOI : 10.5539/ijbm.v13n11p17
  • GODEFROY, V., L.TRINCHERA, N.DARCEL, N.RIGAL, "Behavioural measures of child's eating temperament and their link with BMI.", Appetite, February 2017, no. 110, pp. 6-14
  • FOSSO WAMBA, S., M.BHATTACHARYA, L.TRINCHERA, E. W. T.NGAI, "Role of Intrinsic and Extrinsic Factors in User Social Media Acceptance within Workspace: Assessing Unobserved Heterogeneity", International Journal of Information Management, April 2017, vol. 37, no. 2, pp. 1-13
  • GODEFROY, V., L.TRINCHERA, L.ROMO, N.RIGAL, "Modelling the effect of temperament on BMI through appetite reactivity and self-regulation in eating: a Structural Equation Modelling approach in young adolescents", International Journal of Obesity, January 2016, vol. 40, no. 4, pp. 573-580
    DOI : 10.1038/ijo.2016.6
  • CAVARRETTA, F., L.TRINCHERA, D. O.CHOI, S. T.HANNAH, "When “It depends” amounts to more than simple contingent relationships: Three canonical forms of inversions", Journal of Organizational Behavior, August 2016, vol. 37, no. 6, pp. 933-945
    DOI : 10.1002/job.2093
  • SERRANO, E., S. LÓPEZ-SORIA, L. TRINCHERA, J. SEGALÉS, "The use of null models and partial least squares approach path modelling (PLS-PM) for investigating risk factors influencing post-weaning mortality in indoor pig farms", Epidemiology and Infection, March 2014, vol. 142, no. 3, pp. 530-539
  • LE FLOCH, E., V.GUILLEMOT, V.FROUIN, P.PINEL, C.LALANNE, L.TRINCHERA, A.TENENHAUS, A.MORENO, M.ZILBOVICIUS, T.BOURGERON, S.DEHAENE, B.THIRION, J.POLINE, E.DUCHESNAY, "Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares", NeuroImage, October 2012, vol. 63, no. 1, pp. 11-24
    DOI : 10.1016/j.neuroimage.2012.06.061
  • TRINCHERA, L., G.RUSSOLILLO, C.LAURO, "Using categorical variables in PLS Path Modeling to build system of composite indicators", Statistica Applicata - Italian Journal of Applied Statistics, August 2008, vol. 20, no. 3, pp. 309-330
  • INGRASSIA, S., L.TRINCHERA, "Some remarks on nonlinear relationships in PLS Path Modeling", Statistica Applicata - Italian Journal of Applied Statistics, July 2008, vol. 20, no. 3, pp. 197-216
  • ESPOSITO VINZI, V., L.TRINCHERA, S.SQUILLACCIOTTI, M.TENHENHAUS, "REBUS-PLS: A Response-Based Procedure for detecting Unit Segments in PLS Path Modeling", Applied Stochastic Models in Business & Industry, September 2008, vol. 24, no. 5, pp. 439-458
    DOI : 10.1002/asmb.728

Book chapter

  • PETRARCA, F., G.RUSSOLILLO, L.TRINCHERA, "Integrating Non-metric Data in Partial Least Squares Path Models" in Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications., Latan H., Noonan R. Eds, Springer, pp. 259-279, 2017
  • ESPOSITO VINZI, V., L.TRINCHERA, "Modèles locaux issus d'un modèle à équations structurelles" in Modèles à variables latentes et modèles de mélange., Droesbeke, Saporta, Thomas-Agnan Eds, Editions Technip, pp. 177-214, 2013
  • ESPOSITO VINZI, V., L.TRINCHERA, "Modèles à équations structurelles, approches basées sur les composantes" in Modèles à variables latentes et modèles de mélange., Droesbeke, Saporta, Thomas-Agnan Eds, Editions Technip, pp. 153-176, 2013
  • LE FLOCH, E., L.TRINCHERA, A.TENENHAUS, J.POLINE, V.FROUIN, E.DUCHESNAY, "Dimension reduction and regularisation combined with Partial Least Squares in high dimensional imaging-genetic studies" in New Perspectives in Partial Least Squares and Related Methods., H. Abdi, W.W. Chin, V. Esposito Vinzi, G. Russolillo & L. Trinchera Eds, Springer Verlag, pp. 147-158, 2013
  • LIU, T., L.TRINCHERA, A.TENENHAUS, D.WEI, A.HERO, "Globally Sparse PLS Regression" in New Perspectives in Partial Least Squares and Related Methods., H. Abdi, W.W. Chin, V. Esposito Vinzi, G. Russolillo & L. Trinchera Eds, Springer Verlag, pp. 117-127, 2013
  • TRINCHERA, L., "Assessment of latent class detection in component-based Structural Equation Modeling: a simulation study to evaluate the Group Quality Index performance" in Classification and Multivariate Analysis for Complex Data Structures (Studies in Classification, Data Analysis, and Knowledge Organization)., B. Fichet, D. Piccolo, R. Verde, M. Vichi Eds, Springer Verlag, pp. 281-289, 2011
    DOI : 10.1007/798-3-642-13312-129
  • BALZANO, S., L.TRINCHERA, "Structural Equation Models and Student Evaluation of Teaching: a PLS Path Modeling Study" in Statistical Methods for the Evaluation of University Systems (Contributions to Statistics)., V. Attanasio, V. Capursi Eds, Springer Verlag, pp. 55-66, 2011
    DOI : 10.1007/978-3-7908-2375-2-4
  • ESPOSITO VINZI, V., L.TRINCHERA, S.AMATO, "PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement" in Handbook Partial Least Squares: Concepts, Methods and Applications., V. Esposito Vinzi, W. Chin, J. Henseler and H. Wang Eds, Springer Verlag, pp. 47-82, 2010
    DOI : 10.1007/978-3-540-32827-8

Academic conferences

  • CAO, L., X. LIU, L. TRINCHERA, M. TOUZANI, "HOW SHOULD RETAILERS MANAGE MOBILE COMMERCE ACTIVITIES? THE IMPACTS OF ESSENTIAL ACTIVITIES ON FIRMS PERFORMANCE" in 8th COLLOQUIUM ON EUROPEAN RESEARCH IN RETAILING (CERR), 2023
  • MARCOULIDES, K., L. TRINCHERA, "Natural Cubic Smoothing Splines for Latent Class Identification in Longitudinal Growth Trajectories" in 17th conference of the International Federation of Classification Societies (IFCS), pp. 19-23, 2022, Porto, Portugal
  • CAO, L., X. LIU, L. TRINCHERA, "Refining Retail Mobile Commerce Activities for an Enhance Firm Performance" in 2021 AMA Winter Academic Conference, 2021
  • MARCOULIDES, K., L.TRINCHERA, "Residual-Based Algorithm for Detecting Mixtures in Latent Growth Models" in American Educational Research Association AERA Annual Meeting, 2021
  • BELAOUNIA, S., L.TRINCHERA, "Creditor rights as a moderator of the relation between firm internationalisation and capital structure" in 20th European Academy of Management EURAM Conference, 2020, Dublin, Ireland
  • RUSSOLILLO, G., L.TRINCHERA, "Non-Metric Consistent Partial Least Squares Path Modeling" in 9th International Conference on Partial Least Squares and Related Methods, 2017, Macau
  • CAVARRETTA, F., L.TRINCHERA, D.CHOI, S.HANNAH, "Inversions Everywhere: when "It Depends" Does not Amount to Simple Contingent Relationship" in Academy of Management Proceedings - Academy of Management, 2015
  • TRINCHERA, L., L.FORNACIARI, T.MAZZA, "Effects of Materiality Assessment on Internal Controls over Financial Reporting Quality" in Eighth European Auditing Research Network Symposium 2015, 2015, Lausanne, France
  • TRINCHERA, L., I.WALSH, L.LOYOLA DE OLIVEIRA, "Strengthening the Legitimacy of Higher Education Institutions through Students’ Feedback." in EFMD Higher Education Research Conference, 2015
  • FORNACIARI, L., T.MAZZA, L.TRINCHERA, "The Materiality Principle in the internal controls over financial reporting" in 38th European Accounting Association Annual Congress, 2015, Glasgow, United Kingdom
  • TRINCHERA, L., P. DOLCE, V. ESPOSITO VINZI, A. HERO, "NIPALS algorithms for Kronecker structured covariance matrices" in 7th International Conference of the ERCIM WG on Computational and Methodological Statistics, Universita di Pisa, 2014, Italy
  • FOSSO WAMBA, S., L. TRINCHERA, "Assessing Unobserved Heterogeneity in SEM Using REBUS-PLS: A Case of the Application of TAM to Social Media Adoption In Proceedings of the 20th Americas Conference on Information Systems (AMCIS 2014)" in 20th Americas Conference on Information Systems, 2014
  • TRINCHERA, L., G.GIORDANO, S.SPINA, "PLS-Path model for Social Network Data" in Proceedings of the 8th International Conference on Partial Least Squares and Related Methods, 2014
  • DOLCE, P., L.TRINCHERA, V.ESPOSITO VINZI, C.LAURO, A.HERO, "Kronecker Products within NIPALS algorithms." in Proceedings of the 8th International Conference on Partial Least Squares and Related Methods, 2014, Paris, France
  • RUSSOLILLO, G., L.TRINCHERA, "An extension of Non-Metric approach to inwards directed PLS Path Models. In Proceedings of the 47th Scientific Meeting of the Italian Statistical Society" in 47th Scientific Meeting of the Italian Statistical Society, 2014
  • TRINCHERA, L., "An extension of non-metric approach to inwards directed PLS-PM" in XLVII Riunione Scientifica de la SIS (Societa Italiana di Statistica), Universita di Cagliari, 2014, Italy
  • FOSSO WAMBA, S., L.TRINCHERA, "Handling Unobserved Heterogeneity in PLS Path Modeling Using REBUS: Case of TAM Apply to Social Media Adoption" in The 8th International Symposium on PLS and Related Methods (PLS), Centre National des Arts et Métiers (CNAM) Paris, 2014, France
  • LIU, T., L.TRINCHERA, A.TENENHAUS, D.WEI, A.HERO, "Global Criteria for Sparse Penalized Partial Least Squares. In Proceedings of the 59th World Statistics Congresses (ISI 2013)" in Proceedings of the 59th World Statistics Congresses (ISI 2013), 2013, Hong-Kong
  • ESPOSITO VINZI, V., L.TRINCHERA, "Component-based Predictive and Exploratory Path Modeling and Multi-block Data Analysis. In Proceedings of the 59th World Statistics Congresses (ISI 2013)," in Proceedings of the 59thWorld Statistics Congresses (ISI 2013), 2013, Hong-Kong
  • LE FLOCH, E., L.TRINCHERA, A.TENENHAUS, J.POLINE, V.FROUIN, E.DUCHESNAY, "Dimension reduction and regularisation combined with Partial Least Squares in high dimensional imaging-genetics studies" in Proceedings of the 7th International Conference on Partial Least Squares and Related Methods, 2012
  • TRINCHERA, L., W.CHIN, V.ESPOSITO VINZI, J.HENSELER, "GSCA and PLSPM: a comparative study" in Proceedings of the 7th International Conference on Partial Least Squares and Related Methods, 2012
  • LIU, T., L.TRINCHERA, A.TENENHAUS, D.WEI, A.HERO, "Globally Sparse PLS Regression" in Proceedings of the 7th International Conference on Partial Least Squares and Related Methods, 2012
  • LE FLOCH, E., P.PINEL, A.TENENHAUS, L.TRINCHERA, J.POLINE, V.FROUIN, E.DUCHESNAY, "Discovering Associations in High Dimensional Imaging-Genetics Data: a Comparasion Study of Dimension Reduction and Regularization Strategies combined with Partial Least Squares" in 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012, Spain
  • TRINCHERA, L., W.CHIN, V.ESPOSITO VINZI, J.HENSELER, "A Methodological Comparison between PLS Path Modeling and Generalized Structured Component Analysis" in 43èmes Journées de Statistique de la Société Française de Statistique, 2011, Gammarth, Tunisia
  • TRINCHERA, L., E.LE FLOCH, A.TENENHAUS, "Variable Selection via Correlated Component PLS-type Regression" in 8th Scientific Meeting of the CLAssification and Data Analysis Group of the Italian Statistical Society (CLADAG), 2011, Italy
  • LE FLOCH, E., C.LALANNE, C.PINEL, A.MORENO, L.TRINCHERA, A.TENENHAUS, B.THIRION, J.POLINE, V.FROUIN, E.DUCHESNAY, "Bridging the gap between imaging and genetics: a multivariate statistical investigation" in 17th Annual Meeting of the Organization for Human Brain Mapping, 2011, Québec City, Canada
  • BALZANO, S., G.PORZIO, L.TRINCHERA, "PLS Path Modeling with Ordinal Data" in 34th Annual conference of the German Classification Society, 2010, Germany
  • ESPOSITO VINZI, V., G.RUSSOLILLO, L.TRINCHERA, "An Integrated PLS Regression-based Approach for Multidimensional Blocks in PLS Path Modeling" in 42èmes Journées de Statistique de la Société Française de Statistique, 2010, France
  • RUSSOLILLO, G., L.TRINCHERA, "PLS algorithms for non-metric data" in 6th International Conference on Partial Least Squares and Related Methods, 2009
  • TRINCHERA, L., G.RUSSOLILLO, "Role and treatment of categorical variables in PLS Path Models for Composite Indicators In Proceedings of the 6th International Conference on Partial Least Squares and Related Methods" in 6th International Conference on Partial Least Squares and Related Methods, 2009
  • RUSSOLILLO, G., L.TRINCHERA, V.ESPOSITO VINZI, "A Non Linear Regularized Component-based Approach to Structural Equation Modeling" in Convegno Intermedio SIS-2009 "Statistical Methods for the analysis of large data-sets", 2009, Italy
  • ESPOSITO VINZI, V., G.RUSSOLILLO, L.TRINCHERA, "A joint use of PLS Regression and PLS Path Modelling for a data analysis approach to latent variable modeling In Proceedings of the 57th ISI World Statistics Congresses (WSCs)" in 57th ISI World Statistics Congress (WSCs), 2009, Durban, South Africa
  • TRINCHERA, L., G.RUSSOLILLO, "Using Categorical Indicators to take into account Unobserved hetergogeneity in PLS Path Modeling In Proceedings of the 57th ISI World Statistics Congresses (WSCs)" in 57th ISI World Statistics Congress (WSCs), 2009, Durban, South Africa
  • TRINCHERA, L., V.ESPOSITO VINZI, "Assessment of latent class detection in component-based Structural Equation Modeling: the Group QUality Index" in 1st Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society (SFC CLADAG 2008), 2008, Italy
  • ESPOSITO VINZI, V., L.TRINCHERA, "Latent Class Detection in Component-based Structural Equation Modeling In Proceedings of the XLIV SIS Scientific Meeting, vol. Invited Sessions" in XLIV SIS Scientific Meeting, 2008, Padova, Italy
  • INGRASSIA, S., L.TRINCHERA, "Some remarks on nonlinear relationships in PLS Path Modeling" in 7th International Conference on Social Science Methodology, 2008, Italy
  • TRINCHERA, L., "Clustering Units in Formative PLS Path Modeling" in 7th international Conference on Social Science Methodology, 2008, Italy
  • ESPOSITO VINZI, V., L.TRINCHERA, "Capturing Unobserved Heterogeneity in PLS Path Modeling" in Abstract of IFCS 2006 Conference, pp. 168, 2006
  • TRINCHERA, L., S.SQUILLACCIOTTI, V.ESPOSITO VINZI, "PLS Typological Path Modelling: a model-based approach to classification" in Book of Abstracts of the Knowledge Extraction and Modeling Workshop, pp. 87-88, 2006

Participation at an academic or professional conference

  • TRINCHERA, L., G.RUSSOLILLO, V.KUPPELWIESER, "Categorical Data in PLS Path Modeling: A Marketing Study" in Correspondence Analysis and Related Methods (CARME), 2015, Naples, Italy
  • TRINCHERA, L., S.SQUILLACCIOTTI, "PLS Typological Path Modeling: une nouvelle approche à la classification. Technical Report, EDF R&D Departement", 2006