Parenting Journal · Volume 1 · Issue 3 · Licensed source edition
The Impact of AI Usage on Innovation Behavior at Work: The Moderating Role of Openness and Job Complexity
Originally published 2025-04-08 · Behavioral Sciences
Multidisciplinary Digital Publishing Institute (MDPI) · DOI 10.3390/bs15040491 ↗
AI / system type
Workplace AI usage in manufacturing enterprises
Workplace evidenceExamines workers, organizations or AI at work. Participants are not necessarily parents; family benefits are not established by this evidence alone.
The AI connection
System or context examined: Workplace AI usage in manufacturing enterprises. The source-specific system and study design determine what can be inferred.
Why this reading matters
The reading brings self-efficacy, job complexity and employee innovation into a concrete discussion of humane work during technological change. It offers two-wave questionnaire study evidence or analysis, not a promise of organizational or family benefit.
Workplace evidence
Work, care and the whole person.
The workplace lens is self-efficacy, job complexity and employee innovation. Source setting or population: 339 employees from 13 manufacturing enterprises in China. Parenting and child-development outcomes are not inferred from the workplace evidence.
Examines workers, organizations or AI at work. Participants are not necessarily parents; family benefits are not established by this evidence alone.
Editorial reading guide · Independence
Which job conditions help AI support my own ideas?
This two-wave questionnaire study examines self-efficacy, job complexity and employee innovation. Its TRICK home is Independence, an editorial reading path rather than a claim that the paper tests the full framework.
Study context
339 employees from 13 manufacturing enterprises in China
Age / stage: Adult workplace context; no child age range inferred
Read with three questions
- Which job conditions help AI support my own ideas?
- What do this study’s design and population — 339 employees from 13 manufacturing enterprises in China — allow you to infer about another workplace?
- When considering self-efficacy, job complexity and employee innovation, which decisions would need employee input before applying this reading to a working family’s circumstances?
Keep the limits in view
Non-randomized questionnaires cannot establish that AI causes innovation; openness and job complexity may matter differently elsewhere.
The text below is the original article’s licensed repository edition. Its wording is not rewritten. Use the Paper Agent beside the text to locate evidence; open the source for figures, tables and complete context.
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Original authorship, publication date, journal and DOI are preserved. This issue’s TRICK placement and reading questions are editorial additions, not claims made by the original authors.
Qichao Zhang; Ganli Liao; Xueying Ran; Feiwen Wang (2025). The Impact of AI Usage on Innovation Behavior at Work: The Moderating Role of Openness and Job Complexity Behavioral Sciences. https://doi.org/10.3390/bs15040491
Permissions checked against the saved article notice; repository publication notices screened 2026-11-05. This is not a new peer-review decision. The source authors and publishers are not represented as endorsing this issue.