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Antecedents and Consequences of Labor Relations Climate Perception: An Investigation of a Moderated Mediation Model
Previous researchers have yet to examine the antecedents and consequences of labor relations climate perception. Drawing from social information processing theory, we utilize psychological contract breach (PCB) as a negative environment input that diminishes employees’ perceived harmonious labor relations climate, which in turn affects employee outcomes (task performance, organization identification, and turnover intention); meanwhile, this indirect relationship is moderated by benevolent leadership. The results of the analysis of 284 questionnaires obtained from a multi-time, multi-source field survey supported our proposed moderated mediation model. This research contributes to revealing the critical role of psychological contracts in developing a labor relations climate and expands knowledge and understanding of the labor relations climate.
Antecedents and Consequences of Labor Relations Climate Perception: An Investigation of a Moderated Mediation Model
Previous researchers have yet to examine the antecedents and consequences of labor relations climate perception. Drawing from social information processing theory, we utilize psychological contract breach (PCB) as a negative environment input that diminishes employees’ perceived harmonious labor relations climate, which in turn affects employee outcomes (task performance, organization identification, and turnover intention); meanwhile, this indirect relationship is moderated by benevolent leadership. The results of the analysis of 284 questionnaires obtained from a multi-time, multi-source field survey supported our proposed moderated mediation model. This research contributes to revealing the critical role of psychological contracts in developing a labor relations climate and expands knowledge and understanding of the labor relations climate.
Antecedents and Consequences of Labor Relations Climate Perception: An Investigation of a Moderated Mediation Model
2023
Article (Journal)
Electronic Resource
Unknown
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