Group citizenship behaviour in healthcare organization, doctor‐patient relationship, work engagement and turnover intention: A moderated mediation model

Abstract

The effective functioning of health care organisations depends on the inter‐professional collaboration among healthcare professionals from diverse backgrounds, representing different work units, to provide quality services. This study aims to understand how group citizenship behaviour (GCB) that supports other work groups may moderate the relationship between doctor‐patient relationship (DPR), Work Engagement (WE) and Turnover Intention (TI). The data for this study were collected through two waves of questionnaire survey at a tertiary public hospital in China. The hypothesised model was tested by Hayes' PROCESS macro. There were significant differences of perceived GCB across different professional units with work units practicing a multidisciplinary working approach and working in the high‐stake working environment reported higher levels of GCB. The results show that WE mediates the relationships between DPR and TI and GCB accentuates the positive relationship between DPR and WE. Specifically, the path between DPR and WE was stronger for individuals with high perceived GCB than those with low perceived GCB. The study contributes to the development of Job Demands‐Resources model with integrating GCB into the model and enriching the challenge job demand conceptualisation by focussing on DPR in Chinese health care setting. In practice, the hospital administrators should encourage GCB to improve organizational effectiveness and doctors' attitudes.

The role of organizational citizenship behaviour in the relationship between the dark triad and the intention to leave

“…Lastly, OCB's contribution to the overall effectiveness and success of the organization creates a climate of job security and ample opportunities for career development, further lowering TOI. This finding is supported by many studies in the literature (Khalid, Jusoff, Ali, Ismail, Kassim and Rahman, 2009;Tsai and Wu, 2010;Çelik and Çıra, 2013;Zeng, Ma, Wu, Wang, Huang and Li, 2023).…”