Evidence map›Paper›PMID 36091981›Full record

ArticlePeerJ. Computer science2022

A user satisfaction model for mobile government services: a literature review.

Abdulla Jaafar Desmal, Suraya Hamid, Mohd Khalit Othman, Ali Zolait

Abstract read
In one paragraph

Article in PeerJ. Computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

4 authors.

Abdulla Jaafar DesmalFaculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia.ORCID 0000-0002-2723-6596
Suraya HamidFaculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia.
Mohd Khalit OthmanFaculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia.
Ali ZolaitCollege of Information Technology, University of Bahrain, Sakheer, Bahrain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

User satisfaction is essential for the success of an organisation. With the development of government service delivery through mobile platforms, a compatible measurement model must be found to measure user satisfaction with performing such services through a mobile government portal. Measuring user satisfaction with mobile government services is necessary nowadays due to the increasing popularity of smart devices. Research on mGovernment users' satisfaction is lacking, leading to difficulties in understanding users' expectations. In the present study, systematic literature reviews have been used to analyze users' satisfaction with mGovernment portals and propose a comprehensive model compatible with such contexts. The results show that government agencies can evaluate users' satisfaction using the proposed model of six quality constructs: usability, interaction, consistency, information, accessibility, and privacy and security. The study recommends improving the evaluation strategies of mGovernment portals regularly to ensure they fit with challenges. Measuring user satisfaction at mGovernment services encourages the user to perform the transactions through such online platforms, increasing the digitalization process and reducing the cost and efforts for both the service provider and end-users.

Indexed as

Electronic governmentElectronic satisfactionElectronic serviceMobile governmentMobile government satisfactionMobile service satisfactionOnline satisfactionUser satisfaction

Identifiers

PMID36091981
PMCPMC9455267

What OpenQuestion 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 OpenQuestion graph.