Evidence map›Paper›PMID 42247406›Full record

ArticlePloS one2026

Navigating the digital era: The impact of digitalization and work-life harmony on well-being among solo self-employed individuals.

Hyeon Jo, Hyunchul Ahn

Abstract read
In one paragraph

Article in PloS one, 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.

Hyeon JoHeadquarters, HJ Institute of Technology and Management, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-7442-4736
Hyunchul AhnGraduate School of Business IT, Kookmin University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-1867-6423

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In an era where technological advancements and work-life integration significantly shape the professional landscape, understanding their impact on individual job satisfaction and well-being is crucial, particularly for self-employed business owners. This study explores the effects of digitalization, autonomy, work-life balance, work engagement, and burnout on the job satisfaction and well-being of the self-employed. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) on a sample of 12,703 respondents from the Sixth Korean Working Conditions Survey (2020), this research offers comprehensive insights into the unique challenges faced by this demographic. The findings indicate that digitalization and automation significantly increase technology anxiety. In contrast, leadership autonomy and responsibility enhance job satisfaction but adversely impact well-being. Work-life interference negatively affects job satisfaction and well-being but positively correlates with burnout. Conversely, life-work interference positively influences job satisfaction but negatively impacts work engagement. Both work engagement and job satisfaction positively affect well-being, while burnout shows a negative relationship. Notably, work-life time balance positively influences job satisfaction and well-being, and overtime work has a surprisingly positive effect on these aspects. This research contributes to existing literature by underscoring the distinct experiences of the self-employed in the digital age, laying a groundwork for future research.

Indexed as

EmploymentJob SatisfactionWork-Life BalanceAdultBurnout, ProfessionalFemaleHumansMaleMiddle AgedPsychological Well-BeingRepublic of KoreaSurveys and QuestionnairesWork Engagement

Identifiers

PMID42247406
PMCPMC13240905

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.