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Peer-reviewedCC BYFrontiers in psychology

Artificial intelligence-driven work systems and employee burnout: a systematic review of mechanisms, moderators, and a dynamic meta-system framework

  • Zicheng Fang1
  • Liangliang Han1
  • Te Ma2
  1. 1Business School, Liaoning University , , ,
  2. 2Emergency Management Teaching and Research Department, Party School of Dalian Committee of C.P.C. , , ,
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Cite

BibTeXRIS
BibTeX
@article{fang2026artificial,
  title = {{Artificial intelligence-driven work systems and employee burnout: a systematic review of mechanisms, moderators, and a dynamic meta-system framework}},
  author = {Zicheng Fang and Liangliang Han and Te Ma},
  journal = {Frontiers in psychology},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13672190},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Artificial intelligence-driven work systems and employee burnout: a systematic review of mechanisms, moderators, and a dynamic meta-system framework
AU  - Zicheng Fang
AU  - Liangliang Han
AU  - Te Ma
PY  - 2026
DA  - 2026/10/19
JO  - Frontiers in psychology
UR  - https://europepmc.org/article/PMC/PMC13672190
SN  - 1664-1078
ER  -