50/100

Moderate evidence

ProblemPublished recordLaborProblem Space

AI and Automation in Aviation Human Resource: Reskilling and Adaptation

Truvace record
TRV-2026-2521raw data (JSON)
Version
v1Published
First published
Evidence type
Survey
Sources
1 sourcePeer-reviewed
sha256
2e7159465740…check it

The rapid integration of Artificial Intelligence (AI) and automation in the aviation sector presents a critical challenge for Human Resource management: aligning workforce capabilities with technological demands while mitigating displacement anxiety. This study assessed reskilling needs and employee adaptation strategies within the Nigerian aviation industry, focusing on the interplay between technical competence, psychological acceptance, and organizational support. Employing a mixed-methods design, data were c…

The problem

In a survey of 250 Nigerian aviation professionals, self-rated AI tool proficiency averaged 2.1 out of 5, and interviewees named fear of job displacement and theory-heavy training as barriers.

What this doesn’t fix

The study is cross-sectional, covers only three Nigerian airlines and two airports, and skill levels are self-rated rather than tested, so the findings may not generalise.

Sources

1 on file
  1. Journal of Research Administrationdoi:10.68089/202609240448
    Peer-reviewed2026-09-15

Cite this record

v1

Truvace Impact Record TRV-2026-2521, v1: “AI and Automation in Aviation Human Resource: Reskilling and Adaptation.” Truvace, 2026-11-12. /record/TRV-2026-2521 (accessed on the day you copy it). sha256 2e7159465740ba02…

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. Publishedv12e7159465740…

    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-2026-2521 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.