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A Behavioral Perspective on the Privacy Calculus Model

Authors: Maria Moloney; Valerio Potì;

A Behavioral Perspective on the Privacy Calculus Model

Abstract

Previous studies generally support the belief that privacy risk has a negative impact on intention to disclose personal information (Malhotra, Kim and Agarwal, 2004; Xu, Teo and Tan, 2005; Drennan, Mort and Previte, 2006). Individuals who have concerns about disclosing personal information engage in various types of risk handling behaviour to reduce their concerns. Reports conflict on whether this privacy risk handling behaviour leads to online interaction (Drennan, Mort and Previte, 2006). This study explores the role of Knightian uncertainty, ambiguity aversion, and heuristic-driven biases (availability bias, representativeness bias and anchoring and adjustment bias) as determinants of attitudes towards informational privacy and privacy risk handling behaviour. Survey data were collected from a sample of 420 individuals chosen to be representative of the population of online users. Using age as a proxy for uncertainty, analysis of the data suggests that the more uncertain individuals are about their ability to quantify the risks in a given situation the less likely they are to engage online (ambiguity aversion). The findings also suggest that an individual’s experience of recent privacy breaches increases their privacy risk behaviour (availability bias and representativeness). 20 follow-up interviews were conducted to explore the findings of the questionnaire in more detail.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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