68/100

Moderate evidence

GainPublished recordLaborGood Space

Research on the influence mechanism of AI developmental feedback on job crafting

Truvace record
TRV-2026-2652raw data (JSON)
Version
v1Published
First published
Evidence type
Controlled or validated comparison
Sources
1 sourcePeer-reviewed
sha256
9a0660d7d05f…check it

Advances in artificial intelligence (AI) are continuously reshaping the design, demand, and boundaries of job skills, leading to the marginalization of work reliant on fixed processes and repetitive knowledge. In human-AI collaborative work settings, employees must engage in job crafting to adapt to this new environment. Integrating social information processing theory (SIPT) and self-determination theory (SDT), this study proposes and tests a theoretical model to investigate the impact of AI developmental feedb…

The gain

In three studies (a critical incident survey and two scenario experiments), employees who received developmental feedback from AI engaged in more job crafting because they trusted the AI more emotionally, and personalized feedback strengthened that trust effect.

What this doesn’t fix

Two of the three studies were scenario-based experiments, so they measure responses to described situations rather than behaviour in real workplaces over time.

Sources

1 on file
  1. Acta Psychologicadoi:10.1016/j.actpsy.2026.107833
    Peer-reviewed2026-09-22

Cite this record

v1

Truvace Impact Record TRV-2026-2652, v1: “Research on the influence mechanism of AI developmental feedback on job crafting.” Truvace, 2026-11-12. /record/TRV-2026-2652 (accessed on the day you copy it). sha256 9a0660d7d05f9c05…

Change history

1 version

Every change made to this record since it was first published, and why. Nothing has changed since it went up.

  1. Publishedv19a0660d7d05f…

    Certified into the record

Check this record hasn’t been altered

Check this record hasn’t been altered
How to check it yourself, without trusting this page

Download any version from /api/record/TRV-2026-2652 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.