Are algorithmically controlled gig workers deeply burned out? An empirical study on employee work engagement
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Are algorithmically controlled gig workers deeply burned out? An empirical study on employee work engagement ; volume:11 ; number:1 ; day:24 ; month:10 ; year:2023 ; pages:1-15 ; date:12.2023
BMC Psychology ; 11, Heft 1 (24.10.2023), 1-15, 12.2023
- Urheber
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Lang, Jiao Jiao
Yang, Li Feng
Cheng, Chen
Cheng, Xiang Yang
Chen, Fei Yu
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s40359-023-01402-0
- URN
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urn:nbn:de:101:1-2024020710382120260052
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
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Beteiligte
- Lang, Jiao Jiao
- Yang, Li Feng
- Cheng, Chen
- Cheng, Xiang Yang
- Chen, Fei Yu
- SpringerLink (Online service)
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