Evidence map›Paper›PMID 42730124›Full record

ArticleFrontiers in sociology2026

Digital strain in the workplace: the role of instrumental social platform use on employee emotional exhaustion.

Jun Zhou, Mengni Wei, Jinhao Huang, Qimeng Dai

Abstract read
In one paragraph

Article in Frontiers in sociology, 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.

Jun ZhouSchool of Business, Changzhou University, Changzhou, China.
Mengni WeiSchool of Business, Changzhou University, Changzhou, China.
Jinhao HuangSchool of Law, Wenzhou University, Wenzhou, China.
Qimeng DaiSchool of Business, Changzhou University, Changzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: As digitalization increasingly permeates work environments, employees' persistent use of social platforms for task management, collaboration, and information sharing (i. e., instrumental use) has become widespread. However, its potential negative impact on mental health remains under-examined. To explore this phenomenon, this study constructs a chained path model-"social tool use → digital fatigue → work-family conflict → emotional exhaustion"-based on resource conservation theory and boundary theory, while examining the moderating role of digital literacy. Design/methodology/approach: Through empirical research, this study constructed and validated a chained mediation model. Structural equation modeling and other methods were employed to examine the pathways from "social tool use → digital fatigue → work-family conflict → emotional exhaustion" and the moderating effect of digital literacy. Findings: (1) Instrumental use of social platforms significantly positively associated with emotional exhaustion; (2) Digital fatigue and work-family conflict not only mediate this relationship individually but also form a chained mediating association; and (3) Digital literacy effectively mitigates the negative impact of social tool use on digital fatigue. Originality/value: This research deepens and expands the understanding of the formation mechanisms of stressors in digital work environments, helping enterprises navigate the dual effects of social platform tools. It provides "mitigation" strategies for companies that have already deployed such tools, while also offering decision-making and implementation guidance for those still observing.

Indexed as

digital fatiguedigital literacyemotional exhaustioninstrumental use of social platformswork-family conflict

Identifiers

PMID42730124
PMCPMC13563645

What OpenQuestion holds

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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.