The Value of Personal Data: An Experimental Analysis of Data Types and Personal Antecedents

Fast, Victoria; Schnurr, Daniel

doi:10.2139/ssrn.3611232

Cited by 3 publications

(2 citation statements)

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“…models 4 and 8. The results of the studies by Fast and Schnurr (2020) and Fogel and Nehmad (2009) further show that women, on average, have higher privacy concerns than men. We therefore include the interaction term Privacy*Male in models 4 and 8.…”

Section: The Influence Of Personal Attitudes and Demographicsmentioning

confidence: 87%

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

Cloos¹,

Mohr

2022

Technological Forecasting and Social Change

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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 hypothetical scenarios describing five types of these apps from key industries of the digital transformation. In a representative survey for the German population (𝑁 = 1,013), we examine to what extent the acceptance of data sharing is influenced by 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.

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Section: The Influence Of Personal Attitudes and Demographicsmentioning

confidence: 87%

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

Cloos¹,

Mohr

2022

Technological Forecasting and Social Change

View full text Add to dashboard Cite

show abstract

“…Since previous research by Dohmen et al (2011Dohmen et al ( , 2017 shows that risk attitudes are higher for younger people and for men, we include the interaction terms Risk*Age and Risk*Male in models 4 and 8. The results of the studies by Fast and Schnurr (2020) and Fogel and Nehmad (2009) further show that women, on average, have higher privacy concerns than men. We therefore include the interaction term Privacy*Male in models 4 and 8.…”

Section: The Influence Of Personal Attitudes and Demographicsmentioning

confidence: 87%

Acceptance of Data Sharing in Smartphone Apps from Key Industries of the Digital Transformation: A Representative Population Survey for Germany

Mohr

Cloos

2021

SSRN Journal

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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 hypothetical scenarios describing five types of these apps from key industries of the digital transformation. In a representative survey for the German population ( = 1,013), we examine to what extent the acceptance of data sharing is influenced by 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.

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An Exploratory Analysis of Interface Features Influencing Mobile Location Data Disclosure

Shore

Cummings

2022

International Journal of Human–Computer Interaction

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The Value of Personal Data: An Experimental Analysis of Data Types and Personal Antecedents

Cited by 3 publications

References 0 publications

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

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

Acceptance of Data Sharing in Smartphone Apps from Key Industries of the Digital Transformation: A Representative Population Survey for Germany

An Exploratory Analysis of Interface Features Influencing Mobile Location Data Disclosure

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