Evidence map›Paper›PMID 34456790›Full record

ArticleFrontiers in psychology2021

Job Assessment Through Bioelectrical Measures: A Neuromanagement Perspective.

Margherita Zito, Marco Bilucaglia, Alessandro Fici, Giorgio Gabrielli, Vincenzo Russo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2021. 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
2.0field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Margherita ZitoDepartment of Business, Law, Economics and Consumer Behavior "Carlo A. Ricciardi," Università IULM, Milan, Italy.
Marco BilucagliaDepartment of Business, Law, Economics and Consumer Behavior "Carlo A. Ricciardi," Università IULM, Milan, Italy.
Alessandro FiciDepartment of Business, Law, Economics and Consumer Behavior "Carlo A. Ricciardi," Università IULM, Milan, Italy.
Giorgio GabrielliDepartment of Business, Law, Economics and Consumer Behavior "Carlo A. Ricciardi," Università IULM, Milan, Italy.
Vincenzo RussoDepartment of Business, Law, Economics and Consumer Behavior "Carlo A. Ricciardi," Università IULM, Milan, Italy.
IULM University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During recruitment, human resource departments face two challenges: finding the right people for the job and attracting talent. Therefore, the hiring process requires both the ability to communicate a good company brand image and to understand the characteristics and potential of candidates. In this study, we used a neuroscientific approach to measure the experience of candidates during a job interview. The experiment involved 30 participants that individually took part in a job interview lasting 40 min. During the experiment, their engagement and stress levels were measured in real-time with skin conductance and electroencephalographic (EEG) data. From the results, we identified both the most stressful phases (the second and the fourth parts, relating to the explanation of the job and remuneration) and the most engaging phases (the first and the third phases, relating to the presentation of the company and the explanation of the career process) of the interview, suggesting implications for the assessment process. This study is a contribution to the field of neuromanagement, as a neuroscientific approach was applied to management issues in light of work and organizational psychology.

Indexed as

EEGhuman resourcesjob assessmentneuromanagementskin conductance

Identifiers

PMID34456790
PMCPMC8387828
OpenAlexW3190857347

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.