Perceived Value in Tourism: A PLSPM Approach

Risultato della ricerca: Conference contribution

Abstract

This paper examines the concept of perceived value in rural tourism referred to the specific context of Sicilian holiday farms. Herein main dimensions composing the rural tourist perceived value (RTPV) are discussed. Using Partial Least Squares Path Modelling (PLSPM) –a statistical technique especially suitable for exploratory purposes with small samples – a theoretical structural model of the multidimensional structure of RTPV is tested and the causal relationships among RTPV and its dimensions (Functional, Convenience, Emotional and Educational) and among RTPV and tourists’ satisfaction and loyalty are explored. Results from a field survey on 350 tourists give a contribution in terms of investigating relationships among considered constructs and offer a plausible diagnostic framework for managers of the sector.
Lingua originaleEnglish
Titolo della pubblicazione ospiteProceedings of the SIS 2015 Statistical Conference -
Pagine1-6
Numero di pagine6
Stato di pubblicazionePublished - 2015

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Perceived value
Partial least squares
Tourists
Tourism
Modeling
Farm
Rural tourism
Tourist satisfaction
Emotion
Small sample
Diagnostics
Structural model
Loyalty
Managers
Education
Holidays

Cita questo

Scaglione, A., & Mendola, D. (2015). Perceived Value in Tourism: A PLSPM Approach. In Proceedings of the SIS 2015 Statistical Conference - (pagg. 1-6)

Perceived Value in Tourism: A PLSPM Approach. / Scaglione, Aurelio; Mendola, Daria.

Proceedings of the SIS 2015 Statistical Conference -. 2015. pag. 1-6.

Risultato della ricerca: Conference contribution

Scaglione, A & Mendola, D 2015, Perceived Value in Tourism: A PLSPM Approach. in Proceedings of the SIS 2015 Statistical Conference -. pagg. 1-6.
Scaglione A, Mendola D. Perceived Value in Tourism: A PLSPM Approach. In Proceedings of the SIS 2015 Statistical Conference -. 2015. pag. 1-6
Scaglione, Aurelio ; Mendola, Daria. / Perceived Value in Tourism: A PLSPM Approach. Proceedings of the SIS 2015 Statistical Conference -. 2015. pagg. 1-6
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