Evidence map›Paper›PMID 42232203›Full record

ArticleData in brief2026

Insights from a dataset on web system adoption among small and medium-sized enterprises (SMEs): A survey in Malaysia.

Mathivannan Jaganathan, Subramaniam Kolandan, Logeswari Uthama Puthran, Oussama Saoula

Abstract read
In one paragraph

Article in Data in brief, 2026. 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.

Mathivannan JaganathanSchool of Business Management, College of Business, Universiti Utara Malaysia, Sintok, Kedah, Malaysia.
Subramaniam KolandanDepartment of Business Management and Entrepreneurship, Faculty of Management and Economic, Universiti Pendidikan Sultan Idris, Malaysia.
Logeswari Uthama PuthranInstitut Aminuddin Baki, Ministry of Education Malaysia, Malaysia.
Oussama SaoulaSchool of Business Management, College of Business, Universiti Utara Malaysia, Sintok, Kedah, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This dataset comprises survey responses from 207 actively operating small and medium-sized enterprises (SMEs) in Malaysia, collected to examine factors influencing the adoption of web systems among SMEs. The data include measures of relative advantage, compatibility, security, cost, top management support, and web system adoption, captured using validated multi-item Likert scales. Data were collected via an online survey. The dataset is structured into demographic profiles and item-level responses for all constructs, enabling researchers to perform descriptive, correlational, and predictive modelling analyses. The dataset is openly accessible through Mendeley Data and can be reused for comparative studies, meta-analyses, replication work, or methodological demonstrations involving technology adoption among SMEs. The study provides valuable insights for managers and practitioners seeking to revolutionise technology adoption initiatives, particularly in SMEs, to improve day-to-day business operations. Furthermore, the dataset is relevant to policymakers seeking to promote technology adoption among SMEs in Malaysia.

Indexed as

CompatibilityCostRelative advantageSecurityTop management supportWeb system adoption

Identifiers

PMID42232203
PMCPMC13224116

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.