64/100

Moderate evidence

Published recordBusinessGood Space (a documented gain)

AI-Assisted Negotiation Training: A Quasi-Experimental Examination of Buyers’ and Sellers’ Perceived Negotiation Performance in a Used-Car Sales Simulation

Truvace record
TRV-2026-2477raw data (JSON)
Version
v1Published
First published
Evidence type
Controlled or validated comparison
Sources
1 sourcePeer-reviewed
sha256
f0826938913e…check it

Background: Evidence on artificial intelligence (AI) as a preparatory learning aid for novice human negotiators remains limited in consumer negotiation simulations. Existing work emphasizes automated agents rather than students preparing to negotiate. Against this backdrop, the present study examined changes in students’ perceived negotiation performance, differences in those changes between buyer and seller roles, and the purposes for which students used AI during a simulated used-car sale. The outcome was perc…

The gain

In a 74-student quasi-experiment in Bangkok, undergraduates rated their own negotiation performance 4.45 out of 5 after AI-assisted preparation versus 3.78 without it, a 0.67-point rise.

What this doesn’t fix

Every student did the non-AI round first and repeated the same scenario, so practice and familiarity may have contributed to higher second-round ratings; the results reflect self-reports, not a causal estimate of AI's effect on objective negotiation performance.

Sources

1 on file
  1. Peer-reviewed2026-11-11

Cite this record

v1

Truvace Impact Record TRV-2026-2477, v1: “AI-Assisted Negotiation Training: A Quasi-Experimental Examination of Buyers’ and Sellers’ Perceived Negotiation Performance in a Used-Car Sales Simulation.” Truvace, 2026-11-12. /record/TRV-2026-2477 (accessed on the day you copy it). sha256 f0826938913ee1c9…

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. Publishedv1f0826938913e…

    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-2026-2477 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.