Evidence map›Paper›PMID 40681703›Full record

ArticleScientific reports2025

How challenge stressors affect deviant innovation behavior among Chinese frontline textile workers in the age of artificial intelligence.

Xiaoru Du, Chunzi Cai

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

2 authors.

Xiaoru DuSchool of Art and Design, Wuhan Textile University, Wuhan, China.
Chunzi CaiSchool of Art and Design, Wuhan Textile University, Wuhan, China. 1074059244cai@gmail.com.

Funding

National Natural Science Foundation of China 72202165
6 · The paper itself

Abstract

Previous research has examined the impact of internal organizational stress on employee innovation behavior, but recent research has not thoroughly examined whether artificial intelligence can aid frontline workers in innovating beyond their workflow. This study explores the impact of challenge stressors on deviant innovation behavior among employees of a textile mill based on the conservation of resources theory. This empirical study surveyed a sample of 400 frontline employees of a textile mill in China. Results revealed that challenge stressors significantly positively impact employees' deviant innovation behavior, and that psychological empowerment mediates their relationship. In addition, satisfaction with human-robot collaboration moderates the relationship between challenge stressors and deviant innovation behavior. Higher satisfaction can enhance employees' willingness to engage in innovative behaviors, even in the presence of challenge stressors, while lower satisfaction may hinder such behaviors. These findings offer new insights into how stressors affect employees' deviant innovation behavior and provide valuable guidance for human resource management practices.

Indexed as

Artificial IntelligenceOccupational StressTextile IndustryAdultChinaEast Asian PeopleFemaleHumansJob SatisfactionMaleMiddle AgedSurveys and QuestionnairesChallenge stressorsDeviant innovation behaviorFrontline mill workersPsychological empowermentSatisfaction with human–robot collaboration

Identifiers

PMID40681703
PMCPMC12274437

What OpenQuestion holds

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LicenceCC BY
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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.