The aim of this extended abstract is to explore the relevance of consumers’ offline privacy discourse through big data analytics. Exploiting the advantages of text mining techniques applied to big datasets, the present study contributes to the ongoing debate on consumer offline privacy concerns in the hospitality domain by mean of an exploratory analysis of the extent to which the privacy discourse appears in user-generated content of hotel guests.
Privacy concerns: an exploratory analysis through big data
D'Acunto D;
2020-01-01
Abstract
The aim of this extended abstract is to explore the relevance of consumers’ offline privacy discourse through big data analytics. Exploiting the advantages of text mining techniques applied to big datasets, the present study contributes to the ongoing debate on consumer offline privacy concerns in the hospitality domain by mean of an exploratory analysis of the extent to which the privacy discourse appears in user-generated content of hotel guests.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
Sinergie-SIMA conference 2020.pdf
non disponibili
Dimensione
692.52 kB
Formato
Adobe PDF
|
692.52 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.