MULTIVARIATE STATISTICAL APPROACHES FOR CUSTOMER SATISFACTION INTO THE TRANSPORTATION SECTOR

Gallo, Michele and Ciavolino, Enrico (2009) MULTIVARIATE STATISTICAL APPROACHES FOR CUSTOMER SATISFACTION INTO THE TRANSPORTATION SECTOR. Global & Local Economic Review, 13 (2). pp. 55-70. ISSN 1974-5125

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Abstract

The aim of this paper is to study the effect of the dimensions of the transportation service on the Passenger Satisfaction (PS) taking into account the spatial effect due to the interaction across spatial units and spatial heterogeneity. The relationships between the service dimensions and PS are formalized by a Structural Equation Model (SEM) based on the Partial least Squares (PlS) estimation method which includes the spatial effects in the measurement model. Moreover, in order to get a ‘true’ measure of satisfaction, the rating scale model is proposed.

Item Type:Article
Uncontrolled Keywords:Latent trait; Rating Scale Model; Spatial Structural Equation Models; Partial Least Squares
Subjects:AREA 13 - Scienze economiche e statistiche > STATISTICA
ID Code:322
Deposited By:Prof. Michele Gallo
Deposited On:28 Sep 2010 22:18
Last Modified:28 Sep 2010 22:18

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