Evidence map›Paper›PMID 36405876›Full record

ArticleComputers in human behavior2023

How new ways of working during COVID-19 affect employee well-being via technostress, need for recovery, and work engagement.

Rémi Andrulli, Ruud Gerards

Abstract read
In one paragraph

Article in Computers in human behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Work Time Control Tradeoff in Flexible Work: Competitive Pathways to Need for Recovery.International journal of environmental research and public health · 2022
    Article
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.

Rémi AndrulliSchool of Business and Economics, Maastricht University, Tongersestraat 53, 6211LM, Maastricht, the Netherlands.
Ruud GerardsResearch Centre for Education and the Labour Market (ROA), School of Business and Economics, Maastricht University, Tongersestraat 49, 6211LM, Maastricht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 led to a surge in employees experiencing New Ways of Working (NWW), as many had to work from home supported by ICT. This paper studies how experiencing NWW during COVID-19 affected job-related affective well-being (JAWS) for a sample of employees of the Dutch working population. Hypotheses are tested using Preacher and Hayes' (Behav Res Methods 40 (3):879-891, 2008) bootstrap method, including technostress, need for recovery and work engagement as serial mediators. The results show that higher levels of NWW relate to higher JAWS, to more feelings of positive well-being (PAWS), and less feelings of negative well-being (NAWS). Much of these relations is indirect, via reduced technostress and need for recovery, and increased work engagement. Distinguishing the separate facets of NWW and their relations to PAWS/NAWS, the results show that NWW facets management of output, access to colleagues and access to information directly relate to less negative well-being. However, as the NWW facet time- and location-independent work negatively relates to feelings of positive well-being, NWW as a bundle of facets is not a set-and-forget strategy. Therefore, this study recommends that NWW be supplemented with regular monitoring of employees' well-being, technostress, need for recovery and work engagement.

Indexed as

COVID-19Employee well-beingNeed for recoveryNew ways of workingTechnostressWork engagement

Identifiers

PMID36405876
PMCPMC9643432

What OpenQuestion holds

Textmetadata
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.