Parenting Journal · Volume 1 · Issue 3 · Licensed source edition
Artificial Intelligence and Employee Innovation: A Literature Review
Originally published 2026-10-13 · Behavioral Sciences
Multidisciplinary Digital Publishing Institute (MDPI) · DOI 10.3390/bs16101890 ↗
AI / system type
Generative AI, human–AI collaboration and algorithmic management in innovation work
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: Generative AI, human–AI collaboration and algorithmic management in innovation work. Algorithmic management/control is not assumed to be machine learning or generative AI.
Why this reading matters
The reading brings the stages of employee innovation and the risks of collective homogenization into a concrete discussion of humane work during technological change. It offers framework-based literature review evidence or analysis, not a promise of organizational or family benefit.
Workplace evidence
Work, care and the whole person.
The workplace lens is the stages of employee innovation and the risks of collective homogenization. Source setting or population: Research across innovation management, organizational behavior and human–computer interaction. 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 · Collaboration
Can collaborating with AI expand ideas without making everyone’s work look alike?
This framework-based literature review examines the stages of employee innovation and the risks of collective homogenization. Its TRICK home is Collaboration, an editorial reading path rather than a claim that the paper tests the full framework.
Study context
Research across innovation management, organizational behavior and human–computer interaction
Age / stage: Workplace literature or conceptual analysis; no single child age range
Read with three questions
- Can collaborating with AI expand ideas without making everyone’s work look alike?
- What do this study’s design and population — Research across innovation management, organizational behavior and human–computer interaction — allow you to infer about another workplace?
- When considering the stages of employee innovation and the risks of collective homogenization, which decisions would need employee input before applying this reading to a working family’s circumstances?
Keep the limits in view
The review identifies stronger short-term than long-term evidence; synthesis does not establish that AI improves realized innovation.
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.
Xi Cun; Liangbo Zhang; Jifan Ren (2026). Artificial Intelligence and Employee Innovation: A Literature Review Behavioral Sciences. https://doi.org/10.3390/bs16101890
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.