← Independence · 20 readings

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

Crafting work with AI: human–AI collaborative job crafting, human–AI fit, and employee job performance

Originally published 2026-08-14 · Frontiers in Psychology
Frontiers Media SA · DOI 10.3389/fpsyg.2026.1903517 ↗

IndependenceThree-wave employee–supervisor studyCC BY 4.0
Ask this paper · Find source passages →

AI / system type

Human–AI collaborative job crafting and inclusive HR practices

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: Human–AI collaborative job crafting and inclusive HR practices. The source-specific system and study design determine what can be inferred.

Why this reading matters

The reading brings collaborative job crafting and human–AI fit into a concrete discussion of humane work during technological change. It offers three-wave employee–supervisor study evidence or analysis, not a promise of organizational or family benefit.

Workplace evidence

Work, care and the whole person.

The workplace lens is collaborative job crafting and human–AI fit. Source setting or population: 485 employees and their direct supervisors. 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

How can I help redesign my job so AI fits the work I value?

This three-wave employee–supervisor study examines collaborative job crafting and human–AI fit. Its TRICK home is Independence, an editorial reading path rather than a claim that the paper tests the full framework.

Study context

485 employees and their direct supervisors

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

Read with three questions

  1. How can I help redesign my job so AI fits the work I value?
  2. What do this study’s design and population — 485 employees and their direct supervisors — allow you to infer about another workplace?
  3. When considering collaborative job crafting and human–AI fit, which decisions would need employee input before applying this reading to a working family’s circumstances?

Keep the limits in view

Matched longitudinal data remain observational; statistical mediation cannot establish that job crafting causes better performance.

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.

Opening the verified paper and agent…

Checking the article identity, license record, and saved source text.

Open the repository record

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.

Jun Bao; Qiutong Wang; Yiting Pan; Xiaoqian Wang; Yuying Zheng (2026). Crafting work with AI: human–AI collaborative job crafting, human–AI fit, and employee job performance Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2026.1903517

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.