<scp>Customer</scp> Mistreatment Among Frontline Staff in Social Care: Supporting Employees Through <scp>HRM</scp> Practices

ABSTRACT The social care sector across the globe is increasingly witnessing customer mistreatment incidents that pose significant personal and work‐related challenges for frontline employees. Extant research suggests that human resource management (HRM) can be instrumental in extending support to the frontline to overcome the adversities of such mistreatment. In this study, we first develop a comprehensive account of the types of customer mistreatment prevalent in social care. Then, drawing on psychological contract theory, we outline the frontline's expectations of support from HRM practices to deal with such incidents. We further elaborate on gaps in social care that inhibit extending such support through HRM practices to the frontline and establish how the HR co‐creation approach can be utilized to plug these gaps. In this multistage qualitative study, we collect data in three stages from 51 frontline employees and 15 HR professionals working in the social care sector who have witnessed customer mistreatment. Based on our study's findings, we propose a novel framework called “FRESH against mistreatment” (Frontline Expectations for Support from HRM), which can aid HR professionals in identifying expectations, gaps, and possibilities for extending support through HRM practices to the frontline in social care to handle incidents of customer mistreatment.

Authors

Institutions

Publication Details

Journal
Human Resource Management
Published
2026-03-24
DOI
https://doi.org/10.1002/hrm.70064
Primary Topic
Workplace Violence and Bullying
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Customer Mistreatment Among Frontline Staff in Social Care: Supporting Employees Through HRM Practices

Amandeep Dhir, Puneet Kaur, Shivinder Nijjer, Pawan Budhwar
Human Resource Management
Workplace Violence and Bullying
article

Customer Mistreatment Among Frontline Staff in Social Care: Supporting Employees Through HRM Practices

Amandeep Dhir, Puneet Kaur, Shivinder Nijjer, Pawan Budhwar
article en

Abstract

ABSTRACT The social care sector across the globe is increasingly witnessing customer mistreatment incidents that pose significant personal and work‐related challenges for frontline employees. Extant research suggests that human resource management (HRM) can be instrumental in extending support to the frontline to overcome the adversities of such mistreatment. In this study, we first develop a comprehensive account of the types of customer mistreatment prevalent in social care. Then, drawing on psychological contract theory, we outline the frontline's expectations of support from HRM practices to deal with such incidents. We further elaborate on gaps in social care that inhibit extending such support through HRM practices to the frontline and establish how the HR co‐creation approach can be utilized to plug these gaps. In this multistage qualitative study, we collect data in three stages from 51 frontline employees and 15 HR professionals working in the social care sector who have witnessed customer mistreatment. Based on our study's findings, we propose a novel framework called “FRESH against mistreatment” (Frontline Expectations for Support from HRM), which can aid HR professionals in identifying expectations, gaps, and possibilities for extending support through HRM practices to the frontline in social care to handle incidents of customer mistreatment.

Human Resource Management
Aston University (GB), University of Agder (NO), Agder Research (NO), Indian Institute of Management Visakhapatnam (IN), University of Bergen (NO)
Openalex Percentile: Top 14%
Workplace Violence and Bullying
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.