Evidence map›Paper›PMID 36193197›Full record

ArticleJournal of business research2023

The adoption of remote work platforms after the Covid-19 lockdown: New approach, new evidence.

Jean Michel Sahut, Raphael Lissillour

Abstract read
In one paragraph

Article in Journal of business research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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.

Jean Michel SahutIPAG Business School, France.
Raphael LissillourAssociate researcher at BIBS School of Sustainability Management, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the aim of providing further insights into the driving factors influencing behavioral intentions and expectations to use remote work after the Covid-19 lockdown, this study draws on an enhanced version of the technology acceptance model to analyze the determinants and moderating factors of remote work platform use. From an analysis of quantitative data collected from questionnaires and qualitative data from interviews with employees of Chinese firms in the service sector, we conclude that post-lockdown adoption of remote work is explained by three main variables: behavioral intention, behavioral expectation and facilitating conditions, but demographic characteristics and factors related to the specific features of remote work all nevertheless moderate the relationships in our model. In addition to gender, the generational gap and behavioral tendency should be taken into consideration to improve employee acceptance rates.

Indexed as

PlatformRemote workServiceTechnology adoptionUnified theory of acceptance and use of technology (UTAUT)

Identifiers

PMID36193197
PMCPMC9519525

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.