Paper Number
2257
Paper Type
Complete Research Paper
Abstract
In today’s digital economy, businesses often collect customer data. Governments respond with data privacy regulations to ensure privacy. However, the existing literature disagrees on how regulations influence individual disclosure behavior. Based on a comprehensive literature review, we propose a new perspective on regulation that considers which level of abstraction is used in a study (macro-level country-values vs. micro-level individual-values) and two distinct types of regulatory measures (for assured vs. self-determined privacy). We propose a research model based on TTAT and hypothesize that regulation that increases assured privacy lowers privacy concerns, which in turn reduce the execution of self-determined privacy. We survey 208 participants to test the model. Our results provide empirical evidence that regulatory measures for assured privacy reduce concerns and, in turn, lead to low execution of self-determined privacy. We contribute to the literature by measuring regulation on a micro-level and implementing executed self-determined privacy as an influencing factor.
Recommended Citation
Richthammer, Martin and Widjaja, Thomas, "Assuring or Enabling Privacy? — How Different Types of Regulatory Measures for Data Privacy Affect Individual Disclosure Behavior" (2024). ECIS 2024 Proceedings. 21.
https://aisel.aisnet.org/ecis2024/track02_general/track02_general/21
Assuring or Enabling Privacy? — How Different Types of Regulatory Measures for Data Privacy Affect Individual Disclosure Behavior
In today’s digital economy, businesses often collect customer data. Governments respond with data privacy regulations to ensure privacy. However, the existing literature disagrees on how regulations influence individual disclosure behavior. Based on a comprehensive literature review, we propose a new perspective on regulation that considers which level of abstraction is used in a study (macro-level country-values vs. micro-level individual-values) and two distinct types of regulatory measures (for assured vs. self-determined privacy). We propose a research model based on TTAT and hypothesize that regulation that increases assured privacy lowers privacy concerns, which in turn reduce the execution of self-determined privacy. We survey 208 participants to test the model. Our results provide empirical evidence that regulatory measures for assured privacy reduce concerns and, in turn, lead to low execution of self-determined privacy. We contribute to the literature by measuring regulation on a micro-level and implementing executed self-determined privacy as an influencing factor.
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