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To analyze the influence of emotional intelligence on team performance, knowledge sharing, team conflict, and the structure mechanism, the influence of knowledge sharing, team conflict, the structure mechanism, and emotional intelligence on team performance, and the influence of emotional intelligence on team performance through knowledge sharing, team conflict, and the structure mechanism.

This research uses the quantitative research method and is included in explanatory research. Data collection was done cross-sectionally. This research was conducted at provincial hospitals in South Sulawesi and in Central Sulawesi.

Emotional intelligence directly influences knowledge sharing, conflict in teams, the structure mechanism, and team performance. There is a direct influence of knowledge sharing, team conflict, and the structure mechanism on team performance. Then, there is an indirect influence of emotional intelligence on team performance through the mediation of knowledge sharing, team conflict, and the structure mechanism.

The novelty of this research is in its effort to observe the mediation of knowledge sharing, team conflict and the structure mechanism with other variables developed in the research model. No previous studies have found a relationship between emotional intelligence and team performance, knowledge sharing, team conflict, and the structure mechanism, or the influence of knowledge sharing, team conflict, the structure mechanism, and emotional intelligence on team performance.

Job performance literature has evolved to address the aspects of performance thinking where knowledge sharing (KS) and emotions on the job are considered important. This study evaluates the influence of emotional intelligence (EI), mediated through KS, on job outcomes measured as job performance (JP) and job satisfaction (JS).

Structural equation modeling methods are used to investigate the degree of influence of EI on job outcomes through KS. The data for analysis has been collected from 227 project managers at Information Technology-Information Technology Enabled Services (IT-ITeS) firms.

The findings suggest that the EI has a positive and significant effect on KS. This implies that employees with high EI scores are more involved in the KS behavior. Furthermore, the findings suggest that KS partially mediates the relationship between EI and JP, and it fully mediates the relationship between EI and JS.

For KS, the answer lies in the recruitment and retention of emotionally intelligent persons rather than investing only in information technology. The study enhances the literature on knowledge management, sharing and EI.

The proposed research model suggests a successful infusion of KS within IT-ITeS firms. Knowing the EI of employees and, accordingly, changing their behavior towards sharing knowledge is probably a distinctive, most efficacious and essential strategy for augmenting job outcomes.

The study establishes the role of KS in translating the impact of EI on JP and JS. Furthermore, it contributes a novel framework of KS behavior.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

In a competitive business world, knowledge has become an invaluable asset. The transfer and creation of knowledge between employees is essential for improving team performance and achieving organizational goals. An important contributing factor for knowledge sharing is emotional intelligence; the ability to identify, manage and control emotions in oneself and in others. This leads to increased positive relationships and decreased team conflict. Increased emotional intelligence leads to increased collaboration and sharing of knowledge. Team working is more successful, leading to increased team performance.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This study seeks to comprehend if political exposure containing disapproval and different values will affect implicit knowledge sharing (KS) amongst colleagues in the organization. This research examines participants' responses to a colleague's social-media political exposure and their readiness to perform implicit KS to their colleague.

Data collection uses an online questionnaire and a vignette approach. Subsequently, data analysis for 316 finished surveys employs structural equation modelling-partial least squares (SEM-PLS).

The findings show that the perceived-value similarity of political posts of a colleague significantly and indirectly affects workers' readiness to do implicit KS. Besides, likes and trusts also significantly affect workers' readiness to perform implicit KS. While perceived-value similarity strongly shapes likes, likes significantly and positively affect trusts.

Sharing social-media postings associated with political exposure can hinder the implicit KS in organizations and is understudied in the field of knowledge management. Especially, unlike this study which focuses on private companies, previous studies have paid more attention to public enterprises. Besides, this paper's empirical verification is obtained from private organizations in Indonesia, which is also neglected by scholars.