Evidence map›Paper›PMID 39003300›Full record

ArticleScientific reports2024

Examining the influence of technological self-efficacy, perceived trust, security, and electronic word of mouth on ICT usage in the education sector.

Shuo Xu, Kanwal Iqbal Khan, Muhammad Farrukh Shahzad

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Will Teacher-AI Collaboration Enhance Teaching Engagement?Behavioral sciences (Basel, Switzerland) · 2025
    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

3 authors.

Shuo XuCollege of Economics and Management, Beijing University of Technology, Beijing, 100124, People's Republic of China.
Kanwal Iqbal KhanDepartment of Management Sciences, University of Engineering and Technology, New Campus, Kala Shah Kaku, Pakistan.
Muhammad Farrukh ShahzadCollege of Economics and Management, Beijing University of Technology, Beijing, 100124, People's Republic of China. farrukhshahzad207@gmail.com.

Funding

National Natural Science Foundation of China 72074014
6 · The paper itself

Abstract

The context of education has changed due to revolutionary developments in the information communication technology (ICT) industry in the post-COVID era. Innovative learning methods were introduced in the education sector to promote quality education. The students find it more convenient to use ICT tools to integrate their knowledge-seeking. China has recently paid more attention to developing and adopting electronic infrastructure. The study assesses the effect of technology self-efficacy (TSE) on ICT acceptance and implementation in China's education sector. It also analyzed the role of perceived trust, perceived security, and electronic word of mouth (eWOM) in integrating digital information sharing and interaction tools. Data is collected from 382 business students at Chinese universities. The results revealed that perceived trust mediates the relationship between TSE and the actual use of ICT tools, intention to use ICT tools for information, and intention to use ICT tools for interaction. Further, perceived security and eWOM significantly moderate the relationship between TSE and perceived trust. The findings indicate that it is essential to offer assistance and instruction to students in the educational sector so they can use ICT technology more frequently. It is also crucial for organizations to establish a supportive culture and provide the necessary technological resources to facilitate the use of ICT.

Indexed as

Self EfficacyStudentsTrustAdultChinaComputer SecurityCOVID-19FemaleHumansInformation TechnologyMaleSurveys and QuestionnairesUniversitiesYoung AdultActual useElectronic word of mouthIntention to use for informationIntention to use for interactionPerceived securityPerceived trustTechnology self-efficacy

Identifiers

PMID39003300
PMCPMC11246501

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.