← Collaboration · 20 readings

Parenting Journal · Volume 1 · Issue 3 · Licensed source edition

Knowledge Sharing in AI-Enabled Workplaces: A Social Cognitive Perspective on Usefulness Perceptions and Competition

Originally published 2025-11-27 · Behavioral Sciences
Multidisciplinary Digital Publishing Institute (MDPI) · DOI 10.3390/bs15121635 ↗

CollaborationThree-wave employee surveyCC BY 4.0
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AI / system type

AI-related knowledge sharing in AI-enabled workplaces

Workplace evidence

Examines 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: AI-related knowledge sharing in AI-enabled workplaces. The source-specific system and study design determine what can be inferred.

Why this reading matters

The reading brings AI usefulness, social feedback and competitive knowledge-sharing climates into a concrete discussion of humane work during technological change. It offers three-wave employee survey evidence or analysis, not a promise of organizational or family benefit.

Workplace evidence

Work, care and the whole person.

The workplace lens is AI usefulness, social feedback and competitive knowledge-sharing climates. Source setting or population: 519 Chinese employees. 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 a team share what it learns about AI without turning learning into a competition?

This three-wave employee survey examines AI usefulness, social feedback and competitive knowledge-sharing climates. Its TRICK home is Collaboration, an editorial reading path rather than a claim that the paper tests the full framework.

Study context

519 Chinese employees

Age / stage: Adult workplace context; no child age range inferred

Read with three questions

  1. Can a team share what it learns about AI without turning learning into a competition?
  2. What do this study’s design and population — 519 Chinese employees — allow you to infer about another workplace?
  3. When considering AI usefulness, social feedback and competitive knowledge-sharing climates, which decisions would need employee input before applying this reading to a working family’s circumstances?

Keep the limits in view

Self-reported sharing expectations and behavior cannot establish how a new sharing policy would work in another organization.

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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Attribution & reuse

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.

Chuling Zhong; Yao Wang (2025). Knowledge Sharing in AI-Enabled Workplaces: A Social Cognitive Perspective on Usefulness Perceptions and Competition Behavioral Sciences. https://doi.org/10.3390/bs15121635

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.