Evidence map›Paper›PMID 39104475›Full record

ArticleHeliyon2024

Integration of technology acceptance models and government support to improve digital literacy.

Susi Desmaryani, Ahmad Soleh, Irmanelly, Iqra Wiarta

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Susi DesmaryaniDepartment of Business and Manegement, Universitas Muhammadiyah Jambi, Indonesia.
Ahmad SolehDepartment of Business and Manegement, Universitas Muhammadiyah Jambi, Indonesia.
IrmanellyDepartment of Business and Manegement, Universitas Muhammadiyah Jambi, Indonesia.
Iqra WiartaDepartment of Business and Manegement, Universitas Muhammadiyah Jambi, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital domain is important for the expansion of micro and small enterprises but the gap in readiness to accept the technology impacts businesses. Therefore, this research aims to build an integrated model of Technology Readiness Index, Technology Acceptance Models, and Theory of Reasoned Action expanded with Motivation and government support to increase digital literacy. There are 551 respondents consisting of owners and managers who have been running a business for at least a year. The integration model between Technology Readiness Index, Technology Acceptance Models, and Theory of Reasoned Action expanded with Motivation increases digital literacy, while government support positively influences the variable. The model emphasizes optimism and innovation as key factors in enhancing the construct of Technology Readiness Index model. The results show that there is a strong foundation for the establishment of Technology Acceptance Models and Theory of Reasoned Action expanded with Motivation aimed at supporting digital literacy. This contributes to developing knowledge about the integration model for digital technology acceptance. Practical contributions guide the government in creating appropriate policies to increase digital literacy in SMEs.

Indexed as

Government support and digital literacyTechnology acceptance modelsTechnology readiness indexTheory of reasoned action expanded with motivation

Identifiers

PMID39104475
PMCPMC11298828

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.