Evidence map›Paper›PMID 36092015›Full record

ArticlePeerJ. Computer science2022

Exploration of the usability quality attributes of 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. 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

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 ZolaitDepartment of Information Systems, University of Bahrain, Sakhir, Bahrain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article investigates and analyzes the usability quality attributes of mobile government services. The lack of previous research in the area of mobile government service quality encourages the researchers of the current work to select the usability quality dimension, which is considered one of the most significant parts of the mobile government service quality framework. Using the systematic literature reviews in the area of usability in human-computer interaction and software design, the main attributes are extracted and analyzed to fit into the context of mobile government services. Five quality attributes of the usability dimensions are identified for evaluation of the quality of services of mobile government. These attributes are efficiency, satisfaction, memorability, error and compatibility. The present research proposes a model that can be used to evaluate the usability of mobile government services. The attributes were extracted according to the mobility features with consideration of the service category (Government-To-Citizens). By measuring the usability quality of the mGovernment portal by the electronic government agencies, it leads to understanding the degree of usability of the provided services from the public's perspective.

Indexed as

Electronic servicesE-servicesMobile government servicesMobile usabilityUsability

Identifiers

PMID36092015
PMCPMC9455145

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.