When statistical approaches for customer satisfaction are employed in larger digital applications, longitudinal structured Big Data are produced. Result of this ‘crowd rating’ is not independent from interaction between users and online platforms. Given an empirical case study, we propose our interpretation on employment of parametric and not parametric indexes for rankings’ construction from data collected from rating online platforms.
An index for crowdsourced data on multipoint scales in tourism services evaluation
TOMASELLI V.
Primo
;Cantone G. G.
2020-01-01
Abstract
When statistical approaches for customer satisfaction are employed in larger digital applications, longitudinal structured Big Data are produced. Result of this ‘crowd rating’ is not independent from interaction between users and online platforms. Given an empirical case study, we propose our interpretation on employment of parametric and not parametric indexes for rankings’ construction from data collected from rating online platforms.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
2020_TOMASELLI, Cantone_An index for crowdsourced data ..._IES 2019.pdf
accesso aperto
Descrizione: Articolo principale
Tipologia:
Versione Editoriale (PDF)
Licenza:
Creative commons
Dimensione
988.18 kB
Formato
Adobe PDF
|
988.18 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
