Cited by 146Human Resource and Talent ManagementEmployment, Labor, and Gender StudiesCorporate Management and Leadership

Building sustainable societies through human-centred human resource management: emerging issues and research opportunities

Open access
Cooke, Fang Lee, Dickmann, Michael, Parry, Emma·2022·The International Journal of Human Resource Management

Abstract

In this paper, we argue that adopting a human-centred approach to human resource management (HRM) will contribute to building sustainable workforces, organizations, communities and societies against a backdrop of a global pandemic and political and economic uncertainty. The economic and social cost of the pandemic will continue to be felt for years to come, and the road to recovery should be human-centred and sustainable, with built-in climate actions as part of the socio-economic rejuvenation programme. We draw on several cross-cutting themes to illustrate how the use of digital technology and how remote working, for example, may impact workers from different socio-economic backgrounds in diverse ways. We call for researchers to engage in in-depth qualitative research to identify new phenomena related to work and HRM in the context of accelerating adoption of digital technology and post-Covid recovery to explore power dynamics and forms of exclusion in the labour market and workplaces. Findings of these studies can contribute to positive policy actions to prevent the exacerbation of existing socio-economic inequality and exclusion. They will also contribute to new ways of conceptualizing HRM models and practices and extending HRM theories.

Integrity signals

Registry

Crossref · 10.1080/09585192.2021.2021732

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 29 · Cited by 146

Authors
Cooke, F. L., Dickmann, M., & Parry, E.
Affiliations
  • Monash University (AU)
  • Cranfield University (GB)
Corresponding author
Cooke, Fang Lee
Venue
The International Journal of Human Resource Management
Published
2022-01-02
Volume
33
Issue
1
Pages
1-15
ISSN
  • 0958-5192 (ISSN-L)
  • 1466-4399
OpenAlex
W4205370981
Cited by
146
References
29
Citations by year
2026: 30 · 2025: 38 · 2024: 35 · 2023: 29 · 2022: 14
Type
journal article
Language
en
Licence
cc-by-nc
Locations
  • The International Journal of Human Resource Management (publishedVersion)
  • CERES (Cranfield University) (submittedVersion, cc-by-nc)
Funders
Economic and Social Research Council (ES/S012532/1)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Human Resource and Talent Management
  • Social Sciences › Safety Research › Employment, Labor, and Gender Studies
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Corporate Management and Leadership
Keywords
sustainable workforce, COVID-19 pandemic, socioeconomic disparities, digital technologies in the workplace, remote work, labour market exclusion, post-pandemic recovery, climate action, sustainable organizations, HRM theory

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review