Costigliola, Francesco
(2017)
Nonlinear Approach to PLS Path Modelling: Methodology, Software and Application.
[Tesi di dottorato]
Item Type: |
Tesi di dottorato
|
Lingua: |
English |
Title: |
Nonlinear Approach to PLS Path Modelling: Methodology, Software and Application |
Creators: |
Creators | Email |
---|
Costigliola, Francesco | fcostigliola@gmail.com |
|
Date: |
10 April 2017 |
Number of Pages: |
272 |
Institution: |
Università degli Studi di Napoli Federico II |
Department: |
Scienze Economiche e Statistiche |
Dottorato: |
Statistica |
Ciclo di dottorato: |
27 |
Coordinatore del Corso di dottorato: |
nome | email |
---|
Lauro, Carlo Natale | clauro@unina.it |
|
Tutor: |
nome | email |
---|
Marino, Marina | UNSPECIFIED | Scepi, Germana | UNSPECIFIED |
|
Date: |
10 April 2017 |
Number of Pages: |
272 |
Uncontrolled Keywords: |
PLS Path Modelling; Nonlinear PLSPM; Component-Based
approach; ECSI; Customer Satisfaction; Energy Supply Market |
Settori scientifico-disciplinari del MIUR: |
Area 13 - Scienze economiche e statistiche > SECS-S/01 - Statistica |
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Date Deposited: |
04 May 2017 13:30 |
Last Modified: |
14 Mar 2018 14:09 |
URI: |
http://www.fedoa.unina.it/id/eprint/11735 |
DOI: |
10.6093/UNINA/FEDOA/11735 |

Abstract
This thesis proposes a flexible nonlinear alternative to the PLSPM algorithm which tackles two main issues identified and motivated throughout this study: (i) the presence of linearity assumptions; and (ii) the path direction's incoherence within the inner model estimation phase.
The proposed approach can be seen, when it comes to the inner model, as a data-driven estimation approach. In fact, the algorithm adapts to the form assumed by the inner relationships among composites by means of a piecewise estimation method. As detailed and motivated along this work, another added value is represented by the possibility of defining a non-symmetrical weighting system designed to accommodate a coherent path direction modelling among composites.
The customer satisfaction application to the energy supply market shows how using the proposed nonlinear approach to PLSPM allows the definition of a more precise business strategy.
The results obtained are very promising and the proposed Nonlinear PLSPM approach achieved two main goals: (i) the relation defined in the theoretical model are free from the linearity assumption; (ii) the results provided set the basis for a more suitable interpretation of the relation between composites, based on the natural patterns present in the data.
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