Evidence map›Paper›PMID 40305484›Full record

ArticlePloS one2025

The 'side effects' of digitalization: A study on role overload and job burnout of employees.

Quanjun Zhang, Wei Dai, Jian Chen, Yuan Gu, Yang Zhao

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Quanjun ZhangGuangxi Big Data Research Institute, Nanning, Guangxi, China.
Wei DaiInstitute of Science, Technology and Industrial Development, Sichuan College of Architectural Technology, Deyang, Sichuan, China.
Jian ChenDepartment of Geography, University College London, London, England, United Kingdom.ORCID 0000-0002-1220-7266
Yuan GuDepartment of Public Administration and Humanities, Dalian Maritime University, Dalian, Liaoning, China.
Yang ZhaoSchool of Law, Southwest University of Science and Technology, Mianyang, Sichuan, China.ORCID 0000-0002-4525-4691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of the digital economy, enterprise digitalization represents a significant opportunity to enhance core competitiveness. Nevertheless, the digitalization of enterprises may have unanticipated effects on employee's mental health, which could impede the digital advancement of the enterprise. Such consequences may be evidenced by employee role overload and burnout, which in turn impede enterprise digitalization. This study employed the JR-D model to investigate the empirical data obtained from 250 completed questionnaires by employees. The results indicated that (1) enterprise digitalization had a positive effect on young employees' levels of role overload and burnout; (2) employees' role overload served as a mediator between enterprise digitalization and burnout; (3) perceived organizational support moderated the direct predictive effect of enterprise digitalization on burnout and the indirect predictive effect of enterprise digitalization on burnout through role overload, respectively. The higher the level of perceived organizational support, the weaker the direct and indirect predictive effects would be. This study proposed measures and recommendations to mitigate the unintended consequences of digitalization and promote optimal advancement of enterprise digitalization.

Indexed as

Burnout, ProfessionalAdultFemaleHumansJob SatisfactionMaleMiddle AgedSurveys and QuestionnairesYoung Adult

Identifiers

PMID40305484
PMCPMC12043186

What OpenQuestion holds

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LicenceCC BY
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.