Evidence map›Paper›PMID 38206987›Full record

ArticlePloS one2024

COVID-19 masks and limited number of shoppers as determinants of shop assistants' (dis)honesty.

Maciej Koscielniak, Dorota Marciniak, Dariusz Doliński

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. 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, top 99% of its field
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, 0 citations in OpenAlex.

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

3 authors at 2 institutions in 1 country.

Maciej KoscielniakInstitute of Psychology, SWPS University of Social Sciences and Humanities, Warszawa, Poland.ORCID 0000-0003-3452-864X
Dorota MarciniakInstitute of Psychology, SWPS University of Social Sciences and Humanities, Warszawa, Poland.
Dariusz DolińskiInstitute of Psychology, SWPS University of Social Sciences and Humanities, Warszawa, Poland.
Uniwersytet SWPS · PLCenter for Social and Economic Research · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous laboratory and field studies have demonstrated that the dishonesty of commercial transaction participants may depend on subtle cues. In this field study conducted on a sample of 216 shop assistants in Poland, we planned to demonstrate that coronavirus disease-related factors could result in an increased propensity for dishonesty among shop assistants. This investigation is unique in its application of social psychological theories to illuminate hitherto unexplored side effects of combating the coronavirus disease 2019 pandemic. Our supposition was that the potential detriment encountered by individuals wearing solid surgical masks would involve being viewed as more abstract and remote, thereby heightening the likelihood of being deceived by a vendor. Moreover, we examined the potential relationship between the limited number of customers in retail establishments (related to pandemic restrictions) and the unscrupulous practices of sellers-specifically the act of retaining change. The effect of wearing masks was statistically non-significant, whereas the impact of other customers' absence was significant. Moreover, unexpected results related to transaction parties' genders were obtained, showing that shop assistants tended to be more honest when dealing with customers of the same gender. The results are discussed in the context of empathy toward masked customers, self-awareness theory, social norms of honesty, and identification with gender groups.

Indexed as

COVID-19CommerceFemaleHumansMaleMasksPandemicsPoland

Identifiers

PMID38206987
PMCPMC10783755
OpenAlexW4390736687

What OpenQuestion holds

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LicenceCC BY
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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.