Evidence map›Paper›PMID 42145528›Full record

ArticleFrontiers in psychology2026

When competence isn't enough: age and gender stereotypes in recruitment practices in Czechia.

Martina Rašticová, Štěpán Konečný, Jakub Šácha, Martin Lakomý, Arpit Tripathi, Pawan Kumar Mishra

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. 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

6 authors.

Martina RašticováFaculty of Business and Economics, Mendel University in Brno, Brno, Czechia.
Štěpán KonečnýFaculty of Business and Economics, Mendel University in Brno, Brno, Czechia.
Jakub ŠáchaFaculty of Business and Economics, Mendel University in Brno, Brno, Czechia.
Martin LakomýFaculty of Business and Economics, Mendel University in Brno, Brno, Czechia.
Arpit TripathiFaculty of Business and Economics, Mendel University in Brno, Brno, Czechia.
Pawan Kumar MishraFaculty of Business and Economics, Mendel University in Brno, Brno, Czechia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the intersection of age and gender biases in recruitment, particularly in the context of digitalization, where evolving job demands are reshaping the hiring landscape. Using an experimental design, we examine how HR managers in the Czech Republic assess candidates with similar qualifications but varying in age (32 and 56 years) and gender (male and female) for digitally demanding roles. A representative sample of 608 HR professionals evaluated candidate profiles, allowing us to isolate the impact of demographic factors on perceptions of key competencies such as digital proficiency, interpersonal skills, and adaptability. Our findings show that age and gender influence candidate evaluations in early recruitment, even when qualifications are equivalent. Although explicit recommendation scores were not statistically different across profiles, younger candidates, especially younger women, tended to receive more favorable impressions than older male candidates. Older applicants were often viewed as technically strong and creative, but younger applicants were more frequently associated with adaptability and interpersonal ease, which are increasingly emphasized in digital work settings. These perception patterns reflect demographic expectations rather than verified competencies and suggest that hiring decisions can be shaped by assumptions linked to age and gender rather than by the documented strengths of the applicant. In light of labor market shortages in the European Union, this research emphasizes the importance of inclusive recruitment strategies. This study contributes a novel experimental approach in Central Europe, particularly within the Czech context, where research on these biases remains scarce, and offers directions for future inquiry into the effects of digitalization on recruitment practices.

Indexed as

age biascandidate evaluationcompetency-based hiringdigitalizationgender biasHR decision-makingrecruitment

Identifiers

PMID42145528
PMCPMC13176237

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.