Vincenzo Esposito Vinzi

• ESSEC - Ecole Supérieur des Sciences Economiques et Commerciales

This Handbook on Partial Least Squares (PLS) represents a comprehensive presentation of the current, original and most advanced research in the domain of PLS methods with specific reference to their use in Marketing-related areas and with a discussion of the forthcoming and most challenging directions of research and perspectives. The Handbook cover...

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 individua...

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...

Partial least squares path modeling presents some inconsistencies in terms of coherence with the predictive directions specified in the inner model (i.e. the path directions), because the directions of the links in the inner model are not taken into account in the iterative algorithm. In fact, the procedure amplifies interdependence among blocks an...

This chapter deals with the predictive use of PLS-PM and related 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 performan...

The paper aims to introduce assessment and validation measures in Quantile Composite-based Path modeling. A quantile approach in the Partial Least Squares path modeling framework overcomes the classical exploration of average effects and highlights how and if the relationships among observed and unobserved variables change according to the explored...

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 analyzes interdependence among blocks and misses to distinguish explicitly between dependent and explanatory blocks in the structural model. This inconsistency o...

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 analyzes interdependence among blocks and misses to distinguish explicitly between dependent and explanatory blocks in the structural model. This inconsistency o...

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. Would firms and suppliers adjust thei...

This study tests the impact of Internal and External Environmental Management on performance in firms subject to the European Union’s Emissions Trading System (ETS). A conceptual model is drawn up based on the existing literature, and tested on a large sample of Italian firms. The unit of analysis is single firms subject to the ETS that are involve...

Purpose – The purpose of this paper is to test the impact of internal and external environmental management (EM) on performance to verify the emission trading (ET) mechanism ' s effectiveness. It aims to investigate whether EM that is carried out by ET firms has a higher influence on performance than EM that is carried out by no-ET firms. Design/m...

We examine the role of a common cognitive heuristic in unsupervised learning of Bayesian probability networks from data. Human beings perceive a larger association between causal than diagnostic relationships. This psychological principal can be used to orient the arcs within Bayesian networks by prohibiting the direction that is less predictive. T...

Partial least squares (PLS) refers to a set of iterative algorithms based on least squares that implement a broad spectrum of both explanatory and exploratory multivariate techniques, from regression to path modeling, and from principal component to multi‐block data analysis. This article focuses on PLS regression and PLS path modeling, which are P...

Refund depth may influence the effectiveness of a price guarantee when a store offers to reimburse customers more than the price difference. Using an experimental study that features real stores with high credibility, this article shows that a simple price-matching guarantee has no effect on either the perceived value of an offer or intentions to v...

In this paper, we investigate the relationships between Environmental Management (EM) and performance to verify: whether the implementation of an effective internal environmental is a firm’s precondition to belong to a green supply chain; which type of environmental practices (either internal or external) contribute the most to increasing a firm’s...

Purpose The purpose of this paper is to capture the causal relationships between the primary constituents of the tourism destination paradigm – namely, the economy, society, and the natural and infrastructural environments – and demand for tourism at that destination. Design/methodology/approach Inspired by prior tourism literature, the study uses...

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 st...

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 inve...

This Handbook on Partial Least Squares (PLS) represents a comprehensive presentation of the current, original and most advanced research in the domain of PLS methods with specific reference to their use in Marketing-related areas and with a discussion of the forthcoming and most challenging directions of research and perspectives. The Handbook cove...

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 l...

L'approche PLS aux modèles à équations structurelles (PLS Path Modeling, PLS-PM) est couramment considérée comme une approche basée sur les composantes. Cette méthode a été récemment revisitée en tant que cadre général pour l'analyse des tableaux multiples. Nous proposons ici deux nouvelles méthodes d'estimation des poids externes dans le cadre de...

Regularized generalized canonical correlation analysis (RGCCA) is a generalization of regularized canon-ical correlation analysis to 3 or more sets of variables. RGCCA is a component-based approach which aims to study the relationships between several sets of variables. The quality and interpretability of the RGCCA components are likely to be affec...

Structural equation models (SEMs) make it possible to estimate the causal relationships, defined according to a theoretical model, linking two or more latent complex concepts, each measured through a number of observable indicators, usually called manifest variables. Traditionally, the component-based estimation of SEMs by means of partial least sq...

The present paper proposes a PLS-based methodology for the study of so called “L” data-structures, where external information on both the rows and the columns of a dependent variable matrix is available. L-structures are frequently encountered in consumer preference analysis. In this domain it may be desirable to study the influence of both product...

Segmentation in PLS path modeling framework results is a critical issue in social sciences. The assumption that data is collected from a single homogeneous population is often unrealistic. Sequential clustering techniques on the manifest variables level are ineffective to account for heterogeneity in path model estimates. Three PLS path model relat...

In sensory analysis a panel of assessors gives scores to blocks of sensory attributes for proling products, thus yielding a three-way table crossing assessors, attributes and products. In this context, it is important to evaluate the panel performance as well as to synthesize the scores into a global assessment to investigate differences between pr...

A situation where J blocks of variables are observed on the same set of individuals is considered in this paper. A factor analysis logic is applied to tables instead of variables. The latent variables of each block should well explain their own block and, at the same time, the latent variables of same order should be as positively correlated as pos...

A presentation of the Partial Least Squares approach to Structural Equation Modeling (or PLS Path Modeling) is given together with a discussion of its extensions. This approach is compared with the estimation of Structural Equation Modeling by means of maximum likelihood (SEMML). Notwithstanding, this approach still shows some weaknesses. In this r...

PLS univariate regression is a model linking a dependent variable y to a set X={x1, …, xp} of (numerical or categorical) explanatory variables. It can be obtained as a series of simple and multiple regressions. By taking advantage from the statistical tests associated with linear regression, it is feasible to select the significant explanatory vari...

Abstract PLS univariate regression is a model linking a dependent variable y to a set X = {x1 ;:::; xp} of (numerical or categorical) explanatory variables. It can be obtained as a series of simple and multiple regressions. By taking advantage from the statistical tests associated with linear regression, it is feasible to select the signi6cant expl...

The aim of this paper is to suggest a bootstrap-based method for choosing the number of components in Partial Least Squares Regression (PLSR). Cross-validated Qh2 statistic is used, for which is intended to derive a bootstrap distribution and to perform a hypothesis testing. Monte Carlo approximation is adopted. Applications on both artificial and...

The purpose of this paper is to present PLS Path Modeling, to describe the various options of LVPLS 1.8 and PLS-Graph 3.0 for carrying out a path model, and to comment the output of both software. PLS-Graph 3.0 is actually based on LVPLS 1.8. As an added value, PLS-Graph has a very friendly graphical interface for drawing the model and a resampling...

The major focus of the book is on using the methods suitable for an on-line and off-line process control both in the univariate and multivariate case. The authors do not only concentrate on the standard situation when the errors accompanying the observed process are normally distributed, but also describe in detail the more general situations that...

Cahier de Recherche du Groupe HEC, n° 766/2002 ISBN : 2-85418-766-0

The aim of the paper is to give some insights into the different methods for the simultaneous and comparative analysis of particularly structured multiple matrices. These matrices are made up of multivariate multi-occasion data. These data relate to several variables collected on the same set of statistical units and under different observational c...

Riassunto: La modellizzazione delle misure di customer satisfaction a livello nazionale ed europeo rappresenta un campo di applicazione alquanto nuovo per i modelli ad equazioni strutturali con variabili latenti. In questo lavoro si presenta anzitutto la metodologia dell'approccio PLS per la costruzione dell'indice europeo di customer satisfaction...