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Drawing upon the cognitive-affective processing system (CAPS) framework, the current study proposes a dual-pathway model that suggests self-serving leadership has a positive influence on employee knowledge hiding. The study also examines the mediating effects of relative deprivation and emotional exhaustion, as well as the moderating effect of political skill, to provide a comprehensive understanding of these relationships.

This study employed two-wave time-lagged survey data collected from 644 employees in 118 teams within a company based in Shenzhen, China. Moreover, hierarchical linear modeling (HLM) was used to test the hypothesized relationships.

The results indicated that self-serving leadership positively influenced employee knowledge hiding, and this relationship was mediated by relative deprivation and emotional exhaustion. Additionally, political skill was found to negatively moderate both the direct relationship between self-serving leadership and relative deprivation and emotional exhaustion, and the indirect path from self-serving leadership to employee knowledge hiding through relative deprivation and emotional exhaustion.

This study makes a unique contribution to the knowledge management literature in several ways. First, it introduces self-serving leadership as a predictor of employee knowledge hiding, expanding the current understanding of this phenomenon. Second, it offers a novel conceptualization, suggesting that employees coping with self-serving leadership may experience relative deprivation and emotional exhaustion, and these factors can predict their engagement in knowledge hiding. Third, the research findings on the moderating role of political skill push the boundaries of the knowledge-hiding literature, providing new insights into the conditions under which this behavior occurs.

Social media-induced fatigue has received much attention in recent years. Although studies have discussed the association between related stress and fatigue, few studies have analyzed the media characteristics corresponding to social interaction stress and their effects on fatigue from the perspective of social relations and interaction structure. This paper aims to explore the association between network heterogeneity, social stressors and fatigue from the perspective of a person-environment misfit.

The survey data of 402 social media users were analyzed, and hierarchical regression models were used to validate the proposed theoretical model.

Data analysis showed that supplementary misfits (network heterogeneity) and complementary misfits (information overload and role conflict) positively affect fatigue. Additionally, supplementary misfits can indirectly affect fatigue through complementary misfits. The analysis results also confirmed the positive moderating effect of the relationship climate between network heterogeneity and role conflict. However, the quality of information does not reduce the impact of network heterogeneity on information overload.

This study reveals the mechanisms affecting user fatigue due to a lack of match with the environment. It also provides evidence of stress self-regulation among social media users and suggests how managers can help alleviate it.