Evidence map›Paper›PMID 39962566›Full record

ArticleBMC psychology2025

Understanding the impact of technology usage at work on academics' psychological well-being: a perspective of technostress.

Qiong Wang, Ni Yao

Abstract read
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

2 authors.

Qiong WangCollege of Science (Teacher Education College), Shaoyang University, Shaoyang, China.
Ni YaoSchool of Educational Science, Nanjing Normal University of Special Education, Nanjing, China. 220054@njts.edu.cn.

Funding

The Education Department of Hunan Province 24B0689
6 · The paper itself

Abstract

backgroundOver the recent years, technology has brought huge benefits to the academics, enabling their work more efficient and flexible. However, technology usage also poses challenges for academics and may lead to technostress. PURPOSES: This study aims to understand the academics' technostress by examining the effects of information and communications technology (ICT) self-efficacy and work-home conflict on academics' techno-stressors (techno-overload, techno-complexity, techno-invasion, techno-insecurity, techno-uncertainty) and, furthermore, how techno-stressors impact their psychological well-being.

methodsA research model is proposed based on the previous literature. A sample of 251 academics from several higher education institutions in China was collected and analyzed using structural equation modeling.

resultsThe results of structural equation modelling reveal that: (a) ICT self-efficacy is significantly and negatively associated with techno-complexity and techno-insecurity; (b) Work-home conflict is a crucial contributor to techno-overload, techno-complexity, and techno-invasion; (c) Among the five typical techno-stressors, only techno-invasion significantly decreases academics' psychological well-being.

conclusionsThe study informs the higher education organizations should improve academics' ICT self-efficacy, monitor academics' psychological well-being and techno-stressors, promptly replace the outdated facilities, and assign dedicated personnel responsible for maintenance and problem-solving. Academics should also adjust themselves and seek compatibility between work and family.

Indexed as

FacultyInformation TechnologyMental HealthSelf EfficacyTechnologyWork-Life BalanceAdultChinaFemaleHumansMaleMiddle AgedPsychological Well-BeingUniversitiesAcademics in higher educationICT self-efficacyPsychological well-beingTechnostressWork-home conflict

Identifiers

PMID39962566
PMCPMC11834606

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.