Evidence map›Paper›PMID 41195243›Full record

ReviewFrontiers in sociology2025

Digital empowerment of women in the South African public sector.

Elvin Shava, Tigere Paidamoyo Muringa

Abstract readReview
In one paragraph

Review in Frontiers in sociology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Elvin ShavaCollege of Law and Management, University of Kwazulu-Natal, Durban, South Africa.
Tigere Paidamoyo MuringaCollege of Law and Management, University of Kwazulu-Natal, Durban, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The digital empowerment of women in the South African public sector presents a strategic opportunity to enhance women's technical competencies and boost their confidence in digital environments. Despite global progress, the inclusion of women in digital technologies and information communication technologies (ICTs) in South Africa remains low, reflecting persistent gendered marginalisation in the digital economy. Methods: This study employed a systematic literature review methodology to investigate the challenges and opportunities surrounding women's digital empowerment in the public sector of South Africa. Scholarly databases and search engines, including Google Scholar, Web of Science, and ScienceDirect, were used to retrieve and analyse peer-reviewed publications and relevant grey literature. Results: The findings highlight significant digital disparities that hinder the empowerment of women in the public sector. Key barriers include limited access to technical skills training, insufficient funding, a lack of targeted skills development workshops, organisational resistance to change, and broader issues of data marginalisation. These factors collectively undermine women's participation in the digital transformation of public service. Conclusion: The study emphasises the urgent need for government-led initiatives to address the digital skills gap among women in the public sector. Strategic coproduction between government and stakeholders is essential to ensure inclusive and sustainable digital empowerment programmes. This research adds to the body of knowledge on digital democracy, innovation, and the empowerment of marginalised groups within public sector transformation efforts.

Indexed as

digital disparitiesdigital empowermentdigital governanceSouth Africawomen in public sector

Identifiers

PMID41195243
PMCPMC12583043

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.