arbiter
JournalsAccount

Trade unions and the digitalisation of admin work in public services: An international comparative analysis of the hospital sector

Caroline Lloyd & Jonathan Payne

Economic and Industrial Democracy: an international journal2025https://doi.org/10.1177/0143831x251355449article
AJG 3ABDC A
Weight
0.41

Abstract

Research on digitalisation in the public sector has largely overlooked trade unions or found mainly top-down change and limited involvement. This article focuses on unions representing admin workers in hospitals in Norway and the devolved nations of the UK. Drawing upon interviews in two unions, it offers a novel analysis of their involvement and influence in digitalisation, emphasising the interrelationships between union power and forms of political governance at multiple levels. The findings underline the enduring role of national systems, but with regions and devolved nations offering distinct patterns of union influence, and reveal some promising cases in Norway and Scotland.

2 citations

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1177/0143831x251355449

Or copy a formatted citation

@article{caroline2025,
  title        = {{Trade unions and the digitalisation of admin work in public services: An international comparative analysis of the hospital sector}},
  author       = {Caroline Lloyd & Jonathan Payne},
  journal      = {Economic and Industrial Democracy: an international journal},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/0143831x251355449},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Trade unions and the digitalisation of admin work in public services: An international comparative analysis of the hospital sector

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.