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Your search keyword '"Ciavolino, Enrico"' showing total 4 results
Start Over Author "Ciavolino, Enrico" Journal journal of applied statistics
4 results on '"Ciavolino, Enrico"'

3. Modelling the quality of work in the Italian social co-operatives combining NPCA-RSM and SEM-GME approaches.

Author

Ciavolino, Enrico, Carpita, Maurizio, and Al-Nasser, Amjad

Subjects
*QUALITY of work life, *PRINCIPAL components analysis, *RASCH models, *STRUCTURAL equation modeling, *MAXIMUM entropy method
Abstract

The objective of this paper is to describe and analyse with appropriate statistical models the links between work quality latent factors. Due to the complexity of the task, the analysis is carried out through a two-step approach:In the first step, we construct some multidimensional measures of the subjective quality of work, using nonlinear principal component analysis (NPCA) and Rasch analysis with the Rating Scale Model (NPCA-RSM);In the second step, we adopt a Structural Equation Model based on generalized maximum entropy (SEM-GME) to integrate the measures achieved with the previous step and to evaluate the relationships between the subjective work quality latent factors. Therefore, the novel aspects of this paper are the following: (i) The integration between the NPCA-RSM and SEM-GME, which allows reduction of the variables analysed and evaluation of the measurement errors; (ii) The formalization of a Job Satisfaction Model for the study of the relationships between the subjective work quality latent factors in the Italian social services sector. [ABSTRACT FROM AUTHOR]

Published
2015
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4. Generalized cross entropy method for analysing the SERVQUAL model

Author

Enrico Ciavolino, Antonio Calcagnì, Ciavolino, Enrico, and Calcagnì, A.

Subjects
Statistics and Probability, Service quality, patient satisfaction, Computer science, Statistics, Cross-entropy method, generalized cross entropy, Gap analysis, gap analysis, SERVQUAL, Statistics, Probability and Uncertainty, computer.software_genre, Cross entropy, Data analysis, Probability and Uncertainty, Data mining, computer, Formal description
Abstract

The aim of this paper is to define a new approach for the analysis of data collected by means of SERVQUAL questionnaires which is based on the generalized cross entropy (GCE) approach. In this respect, we firstly give a short review about the important role that SERVQUAL plays in the analysis of service quality as well as in the assessment of the competitiveness of public and private organizations. Secondly, we provide a formal definition of GCE approach together with a brief discussion about its features and usefulness. Finally, we show the application of GCE for a SERVQUAL model, based on a patients’ satisfaction case study and we discuss the results obtained by using the proposed GCE-SERVQUAL methodology.

Published
2014

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