Personal-data disclosure in a field experiment: Evidence on explicit prices, political attitudes, and privacy preferences
Autor: | Joachim Plesch, Irenaeus Wolff |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Statistics and Probability
Information privacy media_common.quotation_subject personal data consumer behaviour lcsh:Technology Information economics Biology and political orientation lcsh:Social Sciences C93 0502 economics and business Loyalty information economics ddc:330 D91 Data Protection Act 1998 050207 economics Marketing Consumer behaviour 050205 econometrics media_common Service (business) jel:D91 jel:C93 data protection data privacy lcsh:T Applied Mathematics explicit prices 05 social sciences D19 lcsh:H jel:D19 field experiment Predictive power ComputingMilieux_COMPUTERSANDSOCIETY Business Statistics Probability and Uncertainty |
Zdroj: | Games, Vol 9, Iss 2, p 24 (2018) Games; Volume 9; Issue 2; Pages: 24 |
Popis: | Many people implicitly sell or give away their data when using online services and participating in loyalty programmes—despite growing concerns about company’s use of private data. Our paper studies potential reasons and co-variates that contribute to resolving this apparent paradox, which has not been studied previously. We ask customers of a bakery delivery service for their consent to disclose their personal data to a third party in exchange for a monetary rebate on their past orders. We study the role of implicitly and explicitly stated prices and add new determinants such as political orientation, income proxies and membership in loyalty programmes to the analysis of privacy decision. We document large heterogeneity in privacy valuations, and that the offered monetary benefits have less predictive power for data-disclosure decisions than expected. However, we find significant predictors of such decisions, such as political orientation towards liberal democrats (FDP) and membership in loyalty programmes. We also find suggestive evidence that loyalty programmes are successful in disguising their “money for data” exchange mechanism. |
Databáze: | OpenAIRE |
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