Consumers' Privacy-Related Decision-Making in the Digital Landscape

Nowadays, consumers are often required to disclose private data in various contexts such as while surfing the internet, downloading a mobile application, or engaging in a business relationship with a firm. Privacy-related decision-making research has so far mainly investigated data disclosure as a cognitive risk-benefit trade-off analysis. While this cognitive approach might be appropriate for situations where consumers have the opportunity for cognitive evaluations, there are many situations in the modern landscape where consumers cannot or do not want to engage in cognitive processing. Decision-making under stress or data disclosure to a business network of collaborating firms, for example, constitute challenges to purely cognitive decision-making approaches, calling for an extension of the established paradigm of cognitive privacy-related decision making. This dissertation advocates for the crucial role of affective processing in many modern data disclosure situations, where consumers do not engage in purely cognitive processing due to external hindrances or a lack of personal involvement in the data disclosure situation.

Level thesis:degree_level

thesis.doctoral

Grantor dc:publisher

Universität Passau

Year

2020

Author dc:creator

• Bidler, Margarita

Contributors dc:contributor

• Schumann, Jan H.
• Widjaja, Thomas

• privacy-related decision-making

Statement dc:rights

• Standardbedingung laut Einverständniserklärung

Repository record source_url

https://opus4.kobv.de/opus4-uni-passau/frontdoor/index/index/docId/799

OAI identifier oai:identifier

oai:kobv.de-opus4-uni-passau:799