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.
2020
9788891921239
tourism evaluation, customer satisfaction, crowd rating, ranking.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/492634
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