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Effects and Causality of Measures for Personal Information: Empirical Studies on Firm and Individual Behaviors and their Implications
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 Title & Authors
Effects and Causality of Measures for Personal Information: Empirical Studies on Firm and Individual Behaviors and their Implications
Shin, Ilsoon;
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This paper studies the empirical relationship between various privacy protection measures and personal information invasion experience of firms and individuals using rich and heterogeneous survey data. By analyzing PSM models. we get the following results: first, the treatment group which have more technical measures and/or IS investment tends to experience more privacy invasion than the control group which have less of them. second, the reverse causality, that is firms and individuals with more experience of privacy invasion tends to take more measure for personal information protection, is found to exist. From these result, we discuss proper privacy policies implications in respects of attackers benefits and individual irrationality.
Privacy;Personal Information;Invasion;Empirical Analysis;Propensity Score Matching;Reverse Causality;
 Cited by
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