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Segmenting travelers based on responses to nudging for information disclosure

Lu, Yang, Ioannou, Athina, Tussyadiah, Iis, Li, Shujun (2019) Segmenting travelers based on responses to nudging for information disclosure. e-Review of Tourism Research, 17 (3). pp. 394-406. ISSN 1941-5842. (KAR id:79517)

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
Projects: PriVELT: PRIvacy-aware personal data management and Value Enhancement for Leisure Travellers
Uncontrolled keywords: travel; privacy; information disclosure; incentive; nudge; segmentation; profiling
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5105 Data transmission systems > TK5105.5 Computer networks > TK5105.875.I57 Internet
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications > TK5105.888 World Wide Web
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
University-wide institutes > Institute of Cyber Security for Society
Funders: Engineering and Physical Sciences Research Council (https://ror.org/0439y7842)
Depositing User: Shujun Li
Date Deposited: 08 Jan 2020 15:54 UTC
Last Modified: 12 Jul 2022 10:41 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/79517 (The current URI for this page, for reference purposes)

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