Evidence map›Paper›PMID 42510329›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Leadership and Human-AI Collaboration: A Measurement Scale.

Julio César Acosta-Prado, José Pablo Camargo, Rodrigo Arturo Zárate-Torres, C Fabiola Rey-Sarmiento

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 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

4 authors.

Julio César Acosta-PradoDepartamento de Ingeniería, Pontificia Universidad Católica del Perú, Lima 15088, Peru.ORCID 0000-0002-7920-9602
José Pablo CamargoDepartamento de Investigación, Colegio de Estudios Superiores de Administración-CESA, Bogotá 110311, Colombia.
Rodrigo Arturo Zárate-TorresDepartamento de Investigación, Colegio de Estudios Superiores de Administración-CESA, Bogotá 110311, Colombia.ORCID 0000-0002-9618-1752
C Fabiola Rey-SarmientoDepartamento de Investigación, Colegio de Estudios Superiores de Administración-CESA, Bogotá 110311, Colombia.ORCID 0000-0002-2068-9963

Funding

Fondo Nacional de Financiamiento para la Ciencia, Tecnología y la Innovación Francisco José de Caldas 0352-937-100909
6 · The paper itself

Abstract

This paper aims to develop and provide the validity and reliability of a measurement scale that establishes the relationship between Leadership and Human-AI Collaboration. An instrumental study was conducted to inform the design and revision of a scale's psychometric properties. The techniques used for statistical analysis were carried out in three sequences, namely, the first consisted of collecting validity evidence based on test content; the second consisted of an exploratory and confirmatory factor analysis to gather validity evidence based on internal structure; and the third consisted of estimating the test reliability of internal consistency through the omega coefficient. The results show that the proposed measurement scale meets the psychometric properties required of a social-science instrument.

Indexed as

human–AI collaborationleadershipmeasurement scalepsychometric properties

Identifiers

PMID42510329
PMCPMC13405254

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.