Evidence map›Paper›PMID 42396118›Full record

ArticleFrontiers in psychology2026

When connectivity depletes: the negative effects of enterprise social media use on employee well-being and work engagement.

Da Eun Song, Seongcheol Kim

Abstract read
In one paragraph

Article in Frontiers in psychology, 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

2 authors.

Da Eun SongResearch Institute for Information and Culture, Korea University, Seoul, Republic of Korea.
Seongcheol KimCollege of Media and Communication, Korea University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The rapid proliferation of digital technologies such as enterprise social media (ESM) has improved workplace collaboration by enabling seamless connectivity and real-time interaction across organizations. At the same time, it has introduced digital interruptions that demand constant responsiveness and digital presence from employees, which may be linked to adverse psychological and behavioral outcomes. Thus, a systematic examination of the negative effects of ESM on employee outcomes is needed. Methods: Grounded in the conservation of resources (COR) theory, this study used partial least squares structural equation modeling with a sample of 200 office workers in Korea to investigate how increased ESM usage is associated with multiple forms of overload and boundary management stress, and which specific forms were most directly related to employee outcomes such as well-being and work engagement. We also examined two variables-customized use of ESM features and perceived organization/team support-to test whether they moderate different forms of overload. Results: ESM usage was positively associated with higher levels of overload and boundary management stress. Interruption overload was significantly associated with lower work engagement, and boundary management stress was significantly associated with lower well-being. Customized use of ESM features and perceived organization/team support negatively moderated the relationship between ESM usage and boundary management stress. Conclusion: This study advances the technostress literature and offers practical implications for leveraging ESM to support sustainable digital work environments and mitigate adverse outcomes.

Indexed as

boundary managementconservation of resources theoryenterprise social mediaoverloadwell-beingwork engagement

Identifiers

PMID42396118
PMCPMC13323711

What OpenQuestion holds

Textmetadata
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.