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dc.contributor.author
Feuerriegel, Stefan
dc.contributor.author
Shrestha, Yash Raj
dc.contributor.author
von Krogh, Georg
dc.contributor.author
Zhang, Ce
dc.date.accessioned
2023-02-03T11:52:06Z
dc.date.available
2023-02-03T11:52:06Z
dc.date.issued
2022-07
dc.identifier.issn
2522-5839
dc.identifier.other
10.1038/s42256-022-00512-5
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/596949
dc.description.abstract
Artificial intelligence (AI) can support managers by effectively delegating management decisions to AI. There are, however, many organizational and technical hurdles that need to be overcome, and we offer a first step on this journey by unpacking the core factors that may hinder or foster effective decision delegation to AI.
en_US
dc.language.iso
en
en_US
dc.publisher
Nature
en_US
dc.subject
Business and management
en_US
dc.title
Bringing artificial intelligence to business management
en_US
dc.type
Journal Article
dc.date.published
2022-07-20
ethz.journal.title
Nature Machine Intelligence
ethz.journal.volume
4
en_US
ethz.journal.issue
7
en_US
ethz.journal.abbreviated
Nat Mach Intell
ethz.pages.start
611
en_US
ethz.pages.end
613
en_US
ethz.identifier.wos
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03719 - von Krogh, Georg / von Krogh, Georg
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03719 - von Krogh, Georg / von Krogh, Georg
en_US
ethz.date.deposited
2022-07-31T03:04:00Z
ethz.source
FORM
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2023-02-03T11:52:08Z
ethz.rosetta.lastUpdated
2023-02-03T11:52:08Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/595939
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/560986
ethz.COinS
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