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Cited by 11Job Satisfaction and Organizational BehaviorTechnostress in Professional SettingsAI and HR Technologies

The design industry in the AI era: how AI awareness and AI literacy influence the innovative work behavior of Chinese generation Y designers

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Ding, Ning, Chen, Maowei, Hu, Liling·2025·Acta Psychologica
DOI 10.1016/j.actpsy.2025.105650
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Abstract

Utilizing the Job Demands-Resources (JD-R) model, this study methodically examines the joint effects of Artificial Intelligence (AI) awareness and AI literacy on the innovative work behavior (IWB) of Generation Y designers in China, mediated by both stress and motivational pathways. A survey involving 496 employed Gen Y designers reveals that AI awareness substantially increases emotional exhaustion (EX), subsequently impeding innovation indirectly. In parallel, AI awareness notably enhances intrinsic motivation (IM), which fosters innovative behavior, thus presenting a “double-edged sword” effect. Even though AI literacy does not directly boost IM, it significantly lowers EX and positively moderates the relationship between AI awareness and IM. Subsequent analysis shows that AI literacy acts as a moderated mediator in the motivational pathway, bolstering the indirect positive impact of AI awareness on innovative behavior. This research extends the JD-R model's utility in the realm of intelligent technologies, clarifies the multifaceted pathways through which AI influences employees' psychological states and work behaviors, and provides significant theoretical contributions and practical implications for talent management and capability development within the design industry in the AI era. • AI awareness has both inhibitory and motivational effects on designers' innovation. • AI literacy reduces emotional exhaustion and indirectly boosts innovative behavior. • AI awareness enhances intrinsic motivation, especially for those with high AI literacy. • The study extends the JD-R model by integrating AI-related demands and resources. • Findings offer actionable insights for AI-based upskilling in the design industry.

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Authors
Ding, N., Chen, M., & Hu, L.
Affiliations
Kangwon National University (KR)
ORCID
Ding, Ning
Venue
Acta Psychologica
Publisher
Elsevier BV
Published
2025-10
Volume
260
Pages
105650
ISSN
0001-6918 (ISSN-L)
DOI
10.1016/j.actpsy.2025.105650
OpenAlex
W4414731467
Cited by
11
References
111
Citations by year
2026: 11
FWCI
13.52
Type
journal article
Language
en
Open access
Licence
Locations
  • Acta Psychologica (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Kangwon National University
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
  • Social Sciences › Psychology › Social Psychology › Technostress in Professional Settings
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
Keywords
AI awareness, AI literacy, innovative behavior, design industry, emotional exhaustion, intrinsic motivation, job demands-resources model, moderated mediation, talent management
MeSH terms
East Asian People, Adult, Artificial Intelligence, Awareness, China, Creativity, Female, Humans, Male, Middle Aged, Motivation, Surveys and Questionnaires

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