Most theories of information security policy (ISP), except a few focused on the insider-centric view, are grounded in the control-centric perspective, and most ISP compliance models stem from Western countries. Regulatory focus theory (RFT) proposes two modes of motivational regulation, promotion and prevention focused that are supposed to motivate employee compliance in a trade-off. Culture is crucial to the study of ISP that puts control over human connections. Chinese guanxi, a specific dimension of Chinese culture, is better understood underlying the trust-distrust frame. To bridge the theoretical gap between the control-centric and the insider-centric perspectives, we develop an ISP behavioral model by taking an integrated approach from RFT and the trust-distrust frame. We employed scenario-based events about information security misconduct in the workplace to examine employees’ compliance intention and non-violation choice of ISP upon counterfactual thinking. Our empirical results improve the theoretical and practical implications of security practices.

Consumer-generated self-disclosure is better than firm-generated advertising and sales reports in increasing contact opportunities and also more credible for firms to foster alignment with future market expectations. Previous research mostly assesses online self-disclosure from the rational approach of anticipated benefits and privacy risks without considering the “privacy paradox” phenomenon (users behave contrarily to privacy concern) in social networking sites (SNSs). We develop a theoretical model, grounded in constraint-based (lock-in) and dedication-based (trust-building) mechanisms and social identity theory, to predict online self-disclosure. We test the proposed theoretical model by surveying 395 consumers with participation experience in an online SNS. Different from the rational approach behind personalization, we advance knowledge on how to apply social identity, as well as constraint-based and dedication-based mechanisms, to motivate online self-disclosure induced by consumers. We provide theoretical and practical insights based on our research findings for managing the motivational mechanisms of online self-disclosure.