Hostname: page-component-74656f9884-8r8nv Total loading time: 0 Render date: 2026-11-07T04:17:34.838Z Has data issue: false hasContentIssue false

Work harassment in the UK and US nursing context

Published online by Cambridge University Press:  29 March 2019

Ben Farr-Wharton
Affiliation:
School of Business, UTS, Sydney, NSW, Australia
Yvonne Brunetto*
Affiliation:
School of Business & Tourism, Southern Cross University, Bilinga, Queensland , Australia
Mathew Xerri
Affiliation:
Griffith Business School, Griffith University, Gold Coast, Queensland, Australia
Art Shriberg
Affiliation:
Management and Entrepreneurship, Xavier University, Cincinnati, OH, USA
Stefanie Newman
Affiliation:
TriHealth Inc., Bethesda North Hospital, OH, USA
Joy Dienger
Affiliation:
TriHealth Inc., Corporate Nursing, Cincinnati, OH, USA
*
*Corresponding author. Email: yvonne.brunetto@scu.edu.au
Rights & Permissions [Opens in a new window]

Abstract

This paper examines one type of negative work behaviour, work harassment, using two theoretical frameworks: Social Exchange Theory (SET) and Similarity-Attraction (SA). SET explains work harassment as a product of poor management practices, whereas using SA theory explains it as a result of the growing normalisation of high workloads. The study undertakes latent mean and path model comparison analysis using structural equation modelling of data from 189 nurses in the UK and 401 nurses in the USA. The findings indicate a good model fit showing a significant path from Leader Member Exchange (LMX) to work harassment, wellbeing and subsequent turnover intentions, with LMX fully mediating the path from LMX to wellbeing for UK nurses, but only partially mediating the same path for nurses in the USA. The findings suggest SET provides a better explanation for work harassment for UK nurses, whereas SA theory better explains the US nurse experience.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press and Australian and New Zealand Academy of Management 2019
Figure 0

Table 1. Reliability and discriminant validity indicators

Figure 1

Table 2. Results of model-fit and test of invariance

Figure 2

Table 3. Results from mean invariance test

Figure 3

Table 4. Results from mediation testing

Figure 4

Figure 1. UK path model. n = 189. *Significant at the .05 level. **Significant at the .01 level. ***Significant at the .001 level. ^^Gender coded as ‘1’ for males, and ‘2’ for females. ^^^Generational cohort as ‘1’ for under 31 years of age, ‘2’ for between 32–46, and ‘3’ for over 47 years of age. #9% of the UK sample, and 26% of the US sample, were aged between 18 and 31 years; ##33% UK and 34% USA were between 32 and 46 years; and ###58% UK and 40% USA were aged over 47 years. &&Control group – age is not significantly related to turnover.

Figure 5

Figure 2. US path model. n = 401. *Significant at the 0.05 level. **Significant at the 0.01 level. ***Significant at the 0.001 level. ^^Gender coded as ‘1’ for males, and ‘2’ for females. ^^^Generational cohort as ‘1’ for under 31 years of age, ‘2’ for between 32 and 46, and ‘3’ for over 47 years of age. #9% of the UK sample, and 26% of the US sample, were aged between 18 and 31 years; ##33% UK and 34% USA were between 32 and 46 years; and ###58% UK and 40% USA were aged over 47 years. &&Control group – age is not significantly related to turnover.