Evidence map›Paper›PMID 40014564›Full record

ArticlePloS one2025

Citizens' preference for e-participatory governance.

Oluwafemi Victor Oludu, Tuğberk Kaya, Damla Karagozlu

Abstract read
In one paragraph

Article in PloS one, 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

3 authors.

Oluwafemi Victor OluduDepartment of Management Information Systems, Cyprus International University, TRNC, Nicosia, Turkey.ORCID 0000-0002-7939-9565
Tuğberk KayaFaculty of Business and Economics, Department of Business Administration, Rauf Denktas University, Nicosia, Turkey.
Damla KaragozluDepartment of Management Information Systems, Cyprus International University, TRNC, Nicosia, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper investigates the preference, adoption, and utilization of e-government services among the citizens of Nigeria through preferred social media. Adopting a quantitative methodology approach with 1000 samples from various local governments and Statistically Analyzing the data, the research explores the extent to which Nigerian citizens have embraced e-government initiatives through social media and the factors influencing their adoption. Questions focusing on the availability of e-government platforms, social media e-governance, and e-participation level based on trust in government, the most preferred social media for e-participation were considered. Findings reveal varying levels of e-government adoption across different local government authorities, influenced by factors such as infrastructure limitations, institutional capacity, and political will, also a high level of participation through various social media platforms was observed, and the level of correlation between government trust and e-participation using the available platforms was found to be minimal. The paper contributes to the understanding of e-government implementation in the Nigerian context, offering insights into strategies for enhancing the effectiveness and sustainability of e-government initiatives at the local government level using social media Platforms.

Indexed as

Community ParticipationSocial MediaFemaleGovernmentHumansLocal GovernmentMaleNigeriaTrust

Identifiers

PMID40014564
PMCPMC11867333

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.