Parenting Journal · Volume 1 · Issue 3 · Licensed source edition
AI technology adoption and intergenerational knowledge transfer among older employees
Originally published 2025-11-26 · Frontiers in Psychology
Frontiers Media SA · DOI 10.3389/fpsyg.2025.1673730 ↗
AI / system type
Organizational AI adoption and older employees’ digital self-efficacy
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: Organizational AI adoption and older employees’ digital self-efficacy. The source-specific system and study design determine what can be inferred.
Why this reading matters
The reading brings intergenerational knowledge transfer and identity threat into a concrete discussion of humane work during technological change. It offers employee survey with statistical and configurational analyses evidence or analysis, not a promise of organizational or family benefit.
Workplace evidence
Work, care and the whole person.
The workplace lens is intergenerational knowledge transfer and identity threat. Source setting or population: 635 older employees from multiple industries 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 · Respect
How can workplaces value older workers’ knowledge during an AI transition?
This employee survey with statistical and configurational analyses examines intergenerational knowledge transfer and identity threat. Its TRICK home is Respect, an editorial reading path rather than a claim that the paper tests the full framework.
Study context
635 older employees from multiple industries in China
Age / stage: Adult workplace context; no child age range inferred
Read with three questions
- How can workplaces value older workers’ knowledge during an AI transition?
- What do this study’s design and population — 635 older employees from multiple industries in China — allow you to infer about another workplace?
- When considering intergenerational knowledge transfer and identity threat, which decisions would need employee input before applying this reading to a working family’s circumstances?
Keep the limits in view
Self-report associations do not establish how a particular training intervention would change knowledge transfer or family life.
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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Follow the original.
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.
Yanhong Guo; Li Wei (2025). AI technology adoption and intergenerational knowledge transfer among older employees Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2025.1673730
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.