Evidence map›Paper›PMID 42183493›Full record

ArticleFrontiers in psychology2026

When artificial intelligence becomes a job resource: how psychological capital fuels innovation in algorithm-driven workplaces.

Yanru Liu, Qing Tian, Jiachun Chen

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
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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

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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

3 authors.

Yanru LiuSchool of Business, Macau University of Science & Technology, Taipa, Macao SAR, China.
Qing TianSchool of Business, Macau University of Science & Technology, Taipa, Macao SAR, China.
Jiachun ChenSchool of Business, Macau University of Science & Technology, Taipa, Macao SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This paper examines the relationship between AI adoption and employees' innovative work behavior (IWB), focusing on the mediating role of psychological capital and the moderating role of perceived error management culture. Methods: Using two-wave survey data, we tested the hypothesized relationships with SPSS 27.0 and Mplus 8.0. Results: The results show that AI adoption is positively related to employees' psychological capital, which in turn is positively related to IWB. In addition, perceived error management culture strengthens the positive relationship between AI adoption and psychological capital, thereby strengthening the indirect relationship between AI adoption and IWB through psychological capital. Discussion: By conceptualizing AI as a new form of job resource, this study examines the internal mechanism and boundary condition underlying the AI-innovation link through a "technology-psychology-behavior" framework. Theoretically, we extend JD-R theory to the AI context and incorporate error management culture through trait activation theory. In practice, we provide empirical evidence on how AI adoption is associated with employee innovation through psychological capital.

Indexed as

AI adoptionartificial intelligence (AI)error management cultureinnovative work behaviorpsychological capital

Identifiers

PMID42183493
PMCPMC13193907

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.