Tourism and culture management (SIMA)

Privacy concerns: an exploratory analysis through big data

David D'Acunto, Serena Volo

The role of big data is widely acknowledged in tourism and hospitality literature with most authors pointing out the relevance of adequately collecting, analyzing and processing online user-generated content to investigate various aspects of consumer behavior and explore tourism and hospitality performances (Li et al., 2018; Mariani et al., 2018; Volo, 2018). In the realm of big data, online travel reviews (OTR) have received extensive attention for their ability to serve as source of input data for companies to understand of their customers and destinations to explore the image portrayed by tourists (Volo, 2019; Marine-Roig, 2019). The usefulness of big data has led scholars to explore a variety of topics both in tourism and hospitality literature, indeed using the analysis of OTR recent contributions investigate among the others: customers´ motivation to contribute to OTR (Yoo, & Gretzel, 2008); the persuasive effect of online travel reviews (Sparks, Perkins & Buckley, 2013); OTR value and connection to hotel performance (Xie, Zhang, & Zhang, 2014); the influence of trust and its antecedents on online reviews (Filieri, Alguezaui, & McLeay, 2015); the differences in image as portrayed by destination agents and as perceived by tourists (Liu, Teichert, Rossi, Li, & Hu, 2017; Paül i Agustí, 2018; Marine-Roig & Mariné Gallisà, 2018); hotel customer characteristics and their perception of satisfaction (Gao, Li, Liu, & Fang, 2018).

#automated content analysis #big data analytics #hotel reviews #Offline privacy #user-generated content