Evidence map›Paper›PMID 40479300›Full record

ArticleEmployee responsibilities and rights journal2022

Informational Justice and Remote Working: All is Not Fair for Work at Home.

Emily Lane, Matthew J Aplin-Houtz

Abstract read
In one paragraph

Article in Employee responsibilities and rights journal, 2022. 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.

Emily LaneCollege of Business Administration, University of Missouri Saint Louis, St. Louis, MO USA.ORCID 0000-0002-3493-7817
Matthew J Aplin-HoutzCollege of Business Administration, University of Missouri Saint Louis, St. Louis, MO USA.ORCID 0000-0001-5793-9789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the increase in remote working due to the social distancing requirements as part of the response to the Covid-19 Pandemic, the variable of work-from-home has become more salient in the business community. The existing literature squarely places remote working as an antecedent to employee perceptions of Organizational Justice throughout many industries. The same literature presents work from home in a positive frame of reference in a pre-pandemic world. However, in the Covid-19 environment, many perceptions have changed regarding employment. Likely overall perceptions regarding work from home have also shifted because more people engage in the activity. We argue that perceptions of work from home through the frame of reference found in the literature of Organizational Justice have shifted to be more negative. To study this phenomenon, we gathered social media data in comments from a work discussion forum on the Reddit website. We coded the data with an a priori codeset and assigned dummy variables for analysis. The dataset was analyzed via a five-way Factorial ANOVA examining the influences of the four independent variables of Organizational Justice (Distributive, Procedural, Interpersonal, and Informational Justice) and the temporal occurrence of Covid-19 on the sentimental polarity of comments surrounding the topic of work from home. Our findings indicated that Informational Justice significantly contributes to more negative sentiment regarding work-from-home. Additionally, when Distributive, Interpersonal, and Informational Justice and Distributive and Informational Justice interact, sentimental polarity grows more negative for work from home. Discussion of results, implications for practice, and limitations presented.

Indexed as

Fairness perceptionsInformational justiceOrganizational justiceRemote working

Identifiers

PMID40479300
PMCPMC9649407

What OpenQuestion holds

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Registered trials

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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.