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

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.
97888943937-6-7
consumer privacy concerns: big data; text analytics; hospitality industry
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/1055438
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