Truace
Subscribe
68/100

Moderate evidence

GainPublished recordLaborGood Space

Full story
More
Export record JSONEmailLinkedInX

Which is better? Matching effect on feedback content and source: Gen AI vs. human leaders in driving work engagement

Truvace record
TRV-2026-2577raw data (JSON)
Version
v2Revised
First published
Evidence type
Controlled or validated comparison
Sources
1 sourcePeer-reviewed
sha256
a9a6e71734f3…check it

Purpose Generative artificial intelligence (Gen AI; e.g. ChatGPT, DeepSeek) is increasingly being integrated into performance feedback systems in service organizations, operating alongside human leaders as a dual-source feedback mechanism. Yet the effects of Gen AI feedback on employee work engagement remain unclear. This study addresses the central question of whether and how the matching between feedback source (Gen AI vs. human leaders) and feedback content (positive vs. negative) differentially influences em…

The gain

In three scenario experiments with 736 valid responses, employees showed higher work engagement when Gen AI delivered negative feedback and human leaders delivered positive feedback.

What this doesn’t fix

The evidence comes from scenario-based experiments rather than observed workplace feedback, so it reflects responses to described situations.

Sources

1 on file
  1. Journal of Service Theory and Practicedoi:10.1108/jstp-11-2025-0452
    Peer-reviewed2026-06-07

Cite this record

v2

Truvace Impact Record TRV-2026-2577, v2: “Which is better? Matching effect on feedback content and source: Gen AI vs. human leaders in driving work engagement.” Truvace, 2026-11-12. /record/TRV-2026-2577 (accessed on the day you copy it). sha256 a9a6e71734f3168b…

Change history

2 versions

Every change made to this record since it was first published, and why.

  1. Revisedv2a9a6e71734f3…

    Moved from Policy to Labor, where its subject belongs. The record's text is unchanged.

  2. Publishedv15d390112dabf…

    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-2026-2577 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.