Acceptance of data sharing in smartphone apps from key industries of the digital transformation: A representative population survey for Germany

Janis Cloos and Svenja Mohr

Technological Forecasting and Social Change, 2022, vol. 176, issue C

Abstract: The use of smartphone apps has numerous advantages for app providers and users. However, the users of many smartphone apps are confronted with a trade-off between usage benefits and preferences for personal data protection. We investigate the acceptability of data sharing in different vignettes describing five types of these apps from key industries of the digital transformation. The vignettes are embedded in a representative survey for the German population (N=1,013). For each vignette we examine to what extent the acceptance of data sharing differs with respect to potential recipients, collected information attributes, and the promoted benefits of data sharing. We differentiate the promoted benefits in two treatments according to monetary (or personal) and environmental (or public) benefits. Our results show no treatment effects but significant differences in acceptance values for different recipients and information attributes. We further observe that participants with stronger green consumption values, participants with a stronger risk propensity, men, and younger participants show a higher acceptance towards data sharing in the described scenarios.

Keywords: privacy; digitalization; digital transformation; representative survey; data protection; environmental attitudes (search for similar items in EconPapers)
JEL-codes: C83 L86 M31 M37 O33 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Working Paper: Acceptance of Data Sharing in Smartphone Apps from Key Industries of the Digital Transformation: A Representative Population Survey for Germany (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:176:y:2022:i:c:s0040162521008945

DOI: 10.1016/j.techfore.2021.121459

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