MARATTO

article · Evidence-based HRM a Global Forum for Empirical Scholarship

Organizational compassion, employees' mental health, commitment and engagement in the context of COVID-19: a serial mediation analysis

20241 citationMakerere University

Abstract

Purpose The study examines the effects of organizational compassion during the COVID-19 pandemic on teachers' mental health and, consequently, their commitment and work engagement. The study tests a serial mediation model for the effects of organizational compassion on employee engagement via mental health and the three components of organizational commitment. Design/methodology/approach A cross-sectional sample ( N = 436) completed an online questionnaire towards the end of the prolonged lockdown of schools in Uganda (2021–2022). Serial mediation analysis in PROCESS Macro was employed to test the hypotheses. Findings As hypothesized, organizational compassion was significantly related to teachers' mental health, the three components of organizational commitment, and employee engagement. A double mediation path of the effects of organizational compassion on employee engagement via mental health and affective commitment was significant. Practical implications The findings highlight how organizational compassion benefits employees’ psychological health and work attitudes and behavior. The findings draw attention to the need to design compassion practices that boost the emotional value of organizational compassion to the individual over the economic and normative value. Originality/value The study contributes to the literature on organizational compassion outcomes by focusing on employee engagement and the underlying mediating mechanisms. The study is also one of the few that has examined the effects of organizational compassion on the three components of organizational commitment.

Research topics

  • Job Satisfaction and Organizational Behavior
  • Emotional Intelligence and Performance
  • Resilience and Mental Health

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1108/ebhrm-01-2024-0001

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.