Purpose This study aims to focus on the information sharing behavior of employees in the context of online brand advocacy based on the cognition–affection–behavior framework. Design/methodology/approach Online surveys were distributed to 840 employees, and the gathered data was analyzed by using structural equation modeling. Findings The effects of perceived organizational justice, employee emotions, organizational trust on online brand advocacy and the moderating role of organizational identification were empirically supported in this study. Noteworthy exceptions to these findings included the lack of evidence of the effect of informational justice on emotions, the effect of procedural justice on negative emotion and the effect of negative emotion on online brand advocacy. Originality/value This study expands brand activism research by investigating online brand advocacy and the employee context. Moreover, this work also extends online brand advocacy research through the employee points of view.

The growing number of attacks on crucial cyber networks is one of humanity’s most significant security threats. Combining technological solutions with the convenient cybersecurity behavior of the human factor is necessary to reduce the effects of these attacks. In this study, the impact of individual decision-making styles on cybersecurity compliance behavior was examined. A conceptual framework was developed based on the protective motivation theory, and it was tested with a data set representing the survey results of 668 employees and students with work experience. Regression analyses were performed to evaluate the impacts of individuals’ decision-making styles on cybersecurity compliance behaviors. Results showed that the decision-making styles of individuals affected their cybersecurity compliance behaviors, and these effects showed significant differences according to their decision-making styles. The study also confirmed that security awareness was another important indicator of cybersecurity compliance behavior. Our research provided new insight into the effects of individual decision-making styles on cybersecurity compliance behavior.