Evidence map›Paper›PMID 36901192›Full record

ArticleInternational journal of environmental research and public health2023

Negative Impact of Telework, Job Insecurity, and Work-Life Conflict on Employee Behaviour.

Marcela-Sefora Nemțeanu, Dan-Cristian Dabija

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Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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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.

Marcela-Sefora NemțeanuFaculty of Economics and Business Administration, Babeș-Bolyai University, 400570 Cluj-Napoca, Romania.ORCID 0000-0002-7831-9041
Dan-Cristian DabijaFaculty of Economics and Business Administration, Babeș-Bolyai University, 400570 Cluj-Napoca, Romania.ORCID 0000-0002-8265-175X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic imposed a large-scale adoption of teleworking in various fields, accepted by many employers as the ideal solution to protect their employees against the risk of contracting SARS-CoV-2. Working from home generated substantial savings for organisations and also contributed to alleviating employee stress. In addition to the potential positive effects, telework during COVID-19 favoured counterproductive behaviour, job insecurity, and intention to retire because of the negative outcomes generated by the growing conflict between personal life and working from home and professional and social isolation. The purpose of this research is to define and analyse a conceptual model capable of highlighting the way in which telework, job insecurity, and work-life conflict led to professional isolation and turnover intention, and finally, to the counterproductive behaviour of employees during the COVID-19 pandemic. This research was implemented using employees in Romania, an emerging European economy severely affected by the recent pandemic. The results have been analysed with the help of structural equations in SmartPLS, thus reflecting a significant influence of teleworking on work-life conflict, professional isolation, intentions, and insecurity during the pandemic. The insecurity of employees trained in teleworking contributes significantly to enhancing work-life conflict and professional isolation.

Indexed as

COVID-19TeleworkingHumansPandemicsSARS-CoV-2Work-Life Balancecounterproductive work behaviourjob insecurityprofessional isolationteleworkingturnover intentionswork–life conflict

Identifiers

PMID36901192
PMCPMC10002209

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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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.