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Segmenting travelers based on responses to nudging for information disclosure

Lu, Yang ORCID logoORCID: https://orcid.org/0000-0002-0583-2688, Ioannou, Athina, Tussyadiah, Iis and Li, Shujun (2020) Segmenting travelers based on responses to nudging for information disclosure. e-Review of Tourism Research, 17 (3). pp. 394-406.

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Abstract

Digital technologies shape travel environments. Noticing online privacy issues, consumers can hold distinct attitudes towards disclosing personal information to service providers. We conducted a panel survey to gauge travelers’ willingness to share personal information with service providers, provided with different types of nudges. Based on the results of clustering analysis, two segments were identified: travelers who are reasonably willing to share (Privacy Rationalists) and those who are reluctant to share (Privacy Pessimists). This study provides empirical evidence of privacy segmentations in the travel context, which has not been reported before and thus deserves more attention from both researchers and practitioners.

Item Type: Article
Status: Published
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HA Statistics
H Social Sciences > HB Economic Theory
H Social Sciences > HB Economic Theory > HB135-147 Mathematical economics. Quantitative methods
H Social Sciences > HE Transportation and Communications
Q Science > Q Science (General)
Q Science > Q Science (General) > Q325 Machine learning
Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76.9.H85 Human-Computer Interaction; Virtual Reality; Mixed Reality; Augmented Reality ; Extended Reality
Z Bibliography. Library Science. Information Resources > ZA Information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
School/Department: School of Science, Technology and Health
URI: https://ray.yorksj.ac.uk/id/eprint/5254

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