Work harassment in the UK and US nursing context

Farr-Wharton, B; Brunetto, Y; Xerri, M; Shriberg, A; Newman, S; Dienger, J

Work harassment in the UK and US nursing context

Farr-Wharton, B

Brunetto, Y Xerri, M Shriberg, A Newman, S Dienger, J

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Publisher:: Cambridge University Press
Publication Type:: Journal Article
Citation:: Journal of Management and Organization, 2022, 28, (2), pp. 348-362
Issue Date:: 2022

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Field	Value	Language
dc.contributor.author	Farr-Wharton, B https://orcid.org/0000-0001-9987-934X
dc.contributor.author	Brunetto, Y
dc.contributor.author	Xerri, M
dc.contributor.author	Shriberg, A
dc.contributor.author	Newman, S
dc.contributor.author	Dienger, J
dc.date.accessioned	2022-10-27T04:30:53Z
dc.date.available	2022-10-27T04:30:53Z
dc.date.issued	2022
dc.identifier.citation	Journal of Management and Organization, 2022, 28, (2), pp. 348-362
dc.identifier.issn	1833-3672
dc.identifier.issn	1839-3527
dc.identifier.uri	http://hdl.handle.net/10453/162754
dc.description.abstract	Copyright © Cambridge University Press and Australian and New Zealand Academy of Management 2019. 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.
dc.language	en
dc.publisher	Cambridge University Press
dc.relation.ispartof	Journal of Management and Organization
dc.relation.isbasedon	10.1017/jmo.2019.16
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1303 Specialist Studies in Education, 1503 Business and Management, 1505 Marketing
dc.title	Work harassment in the UK and US nursing context
dc.type	Journal Article
utslib.citation.volume	28
utslib.for	1303 Specialist Studies in Education
utslib.for	1503 Business and Management
utslib.for	1505 Marketing
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Management Discipline
utslib.copyright.status	closed_access	*
pubs.consider-herdc	true
dc.date.updated	2022-10-27T04:30:52Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	28
utslib.citation.issue	2

Abstract:

Copyright © Cambridge University Press and Australian and New Zealand Academy of Management 2019. 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.

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http://hdl.handle.net/10453/162754