Costigliola, Francesco (2017) Nonlinear Approach to PLS Path Modelling: Methodology, Software and Application. [Tesi di dottorato]
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| Item Type: | Tesi di dottorato |
|---|---|
| Resource language: | 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 |
| 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 |
| 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 |
Collection description
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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