A Process Approach to Reduce Male Harassment Proclivity: Understanding the Behaviour of Male Harassment

Workplace harassment affects both men and women globally, with male ethnic harassment receiving limited attention. Few national or international studies have explored the issue from the perspective of male ethnic harassment. This study examines the influence of leadership styles, specifically ethical and destructive leadership, on the incidence of ethnic harassment among male employees in Karachi, Pakistan. Using a quantitative, survey-based approach, data were collected from 374 male employees across ethnically diverse districts (Lyari, Baldia, and Korangi) through purposive sampling. Partial Least Squares Structural Equation Modelling (PLS-SEM) was employed for analysis. The study reveals that, contrary to expectations, ethical leadership may inadvertently contribute to ethnic harassment by reinforcing hierarchical structures, while destructive leadership predictably increases harassment. The findings suggest that ethnic harassment mediates the relationship between leadership styles and moral disengagement, where harassed employees become morally detached, rationalising unethical behaviour and engaging in further harassment. Moreover, collective moral identity was found to significantly moderate this relationship, reducing the proclivity for harassment among morally aligned groups. These results contribute to the literature on moral identity and provide empirical evidence on the effects of ethnic harassment in politically charged environments, such as Karachi. This data can inform future organisational policies to address ethnic tensions and promote ethical leadership practices.

Authors

Institutions

Publication Details

Journal
SAGE Open
Published
2026-01-01
DOI
https://doi.org/10.1177/21582440251408851
Primary Topic
Ethics in Business and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Process Approach to Reduce Male Harassment Proclivity: Understanding the Behaviour of Male Harassment

Qaiser Mohi Ud Din, Li Zhang, Yao Zhang
SAGE Open
Ethics in Business and Education
article

A Process Approach to Reduce Male Harassment Proclivity: Understanding the Behaviour of Male Harassment

Qaiser Mohi Ud Din, Li Zhang, Yao Zhang
article en

Abstract

Workplace harassment affects both men and women globally, with male ethnic harassment receiving limited attention. Few national or international studies have explored the issue from the perspective of male ethnic harassment. This study examines the influence of leadership styles, specifically ethical and destructive leadership, on the incidence of ethnic harassment among male employees in Karachi, Pakistan. Using a quantitative, survey-based approach, data were collected from 374 male employees across ethnically diverse districts (Lyari, Baldia, and Korangi) through purposive sampling. Partial Least Squares Structural Equation Modelling (PLS-SEM) was employed for analysis. The study reveals that, contrary to expectations, ethical leadership may inadvertently contribute to ethnic harassment by reinforcing hierarchical structures, while destructive leadership predictably increases harassment. The findings suggest that ethnic harassment mediates the relationship between leadership styles and moral disengagement, where harassed employees become morally detached, rationalising unethical behaviour and engaging in further harassment. Moreover, collective moral identity was found to significantly moderate this relationship, reducing the proclivity for harassment among morally aligned groups. These results contribute to the literature on moral identity and provide empirical evidence on the effects of ethnic harassment in politically charged environments, such as Karachi. This data can inform future organisational policies to address ethnic tensions and promote ethical leadership practices.

SAGE OpenVol. 16(1)
Harbin Engineering University (CN), Harbin Institute of Technology (CN)
Gender equality
Openalex Percentile: Top 94%
Ethics in Business and Education
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.