The Relationship Between Career Adaptability and Work Engagement Among Young Chinese Workers: Mediating Role of Job Satisfaction and Moderating Effects of Artificial Intelligence Self-Efficacy and Anxiety.

Frederick Theen Lok Leong, Xuan Li, Emma Mingjing Chen

Abstract read

In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

How and when does artificial intelligence use enhance student creativity? The mediating role of knowledge-based dynamic capabilities.Frontiers in psychology · 2026
Article

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Frederick Theen Lok LeongDepartment of Applied Psychology, School of Humanities and Social Science, Chinese University of Hong Kong, Shenzhen 518172, China.ORCID 0000-0001-5598-0390

Xuan LiDepartment of Applied Psychology, School of Humanities and Social Science, Chinese University of Hong Kong, Shenzhen 518172, China.

Emma Mingjing ChenDepartment of Applied Psychology, School of Humanities and Social Science, Chinese University of Hong Kong, Shenzhen 518172, China.

Funding

University Development Fund - Research Start-up Fund of The Chinese University of Hong Kong (Shenzhen) UDF01003306

6 · The paper itself

Abstract

This study explores the complex psychological mechanisms linking career adaptability to work engagement under AI-driven workplaces. We examine the mediating role of job satisfaction and investigate a key hypothesis: that the adaptive benefits of AI self-efficacy are dampened by the emotional costs associated with AI anxiety. A dual-analytical approach was employed on a sample of 311 young Chinese workers. First, we conducted conditional process analysis using PROCESS Model 11 with 5000 bootstrapped samples to test for conditional indirect effects. Second, we utilized latent variable structural equation modeling for robust validation at the structural level. Analyses were adjusted for demographic and occupational covariates. As a result, the initial PROCESS analysis revealed that the key triple interaction (career adaptability × AI self-efficacy × AI anxiety) was statistically significant in all three test models (e.g., Model 1:

Indexed as

artificial intelligence anxietyartificial intelligence self-efficacycareer adaptabilityjob satisfactionwork engagement

Identifiers

PMID41464025

DOI10.3390/bs15121682

PMCPMC12729327

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.