This study proposes a configurational privacy calculus model (CPCM) to understand calculus interdependency, personality contingency, and causal asymmetry in the information disclosure behavior in social networking sites (SNS). The results based on qualitative comparative analysis (QCA) showed that high disclosure can be caused by the configurations with the presence of at least one perceived benefit among the three types of benefits (i.e., self-expression, life documentation, and social rewards) while the absence of privacy risks, or the configurations with the presence of both perceived benefits and privacy risks meanwhile with the presence of behavioral activation system (BAS) but the absence of behavioral inhibition system (BIS). In contrast, low disclosure can be caused by the configurations with the absence of all the three types of perceived benefits, or the configurations with the presence of both perceived benefits and privacy risks meanwhile with the presence of BIS, but the absence of BAS.
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