Evidence map›Paper›PMID 40774981›Full record

ArticleScientific reports2025

Different pathways linking social media-induced technostress and work performance identified by fsQCA.

Xinyi Wang, Loo-See Beh

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

2 authors.

Xinyi WangFaculty of Business and Economics, Universiti Malaya, Kuala Lumpur, Malaysia. 17222307@siswa.um.edu.my.
Loo-See BehFaculty of Business and Economics, Universiti Malaya, Kuala Lumpur, Malaysia. LooSeeBeh@imu.edu.my.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study addresses three critical gaps in the literature on technostress: the potential for technostress to enhance performance, the methodological limitations of previous research, and the debate of demographic factors in shaping technostress experiences. By utilizing fuzzy-set qualitative comparative analysis (fsQCA), we explore the complex interactions between technostress dimensions and demographic characteristics in the context of social media-induced technostress. Our findings reveal that technostress can act as both a detriment and a catalyst for improved performance, depending on specific conditions. We identify multiple configurations leading to high and low work performance, emphasizing the need for tailored strategies to manage technostress effectively. The study highlights the significant roles of age, gender, and education in moderating the impact of technostress. These insights guide organizations in adopting a holistic and individualized approach to mitigate the negative effects of technostress while leveraging its potential benefits to enhance work performance.

Indexed as

Social MediaWork PerformanceAdultFemaleFuzzy LogicHumansMaleMiddle AgedDemographic characteristicsFsQCASocial mediaTechnostressWork performance

Identifiers

PMID40774981
PMCPMC12332095

What OpenQuestion holds

Textmetadata
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.