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subject:"Entscheidungsunterstützungssystem"
~isPartOf:"Business & information systems engineering"
~subject:"Learning"
~subject:"Robot"
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Entscheidungsunterstützungssystem
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Business & information systems engineering
Journal of business research : JBR
13
International journal of production research
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European journal of operational research : EJOR
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Technological forecasting & social change : an international journal
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Electronic markets : EM ; the international journal of electronic commerce and business media
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International journal of hospitality management
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Journal of service research
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Industrial Robot: the international journal of robotics research and application
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Decision analytics journal
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Journal of emerging technologies in Accounting
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Journal of information & knowledge management : JIKM
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Journal of revenue and pricing management
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Management science : journal of the Institute for Operations Research and the Management Sciences
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Operations research
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Computers & operations research : and their applications to problems of world concern ; an international journal
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Journal of business analytics
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MIS quarterly
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Accounting horizons : a quarterly publication of the American Accounting Association
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Amfiteatru economic : an economic and business research periodical
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Cogent business & management
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Economics letters
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European research studies
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Health care management science
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INFORMS journal on applied analytics
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International journal of contemporary hospitality management
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International journal of financial engineering
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International journal of human resource management
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Machine learning in business process monitoring : a comparison of deep learning and classical approaches used for outcome prediction
Kratsch, Wolfgang
;
Manderscheid, Jonas Hans
; …
- In:
Business & information systems engineering
63
(
2021
)
3
,
pp. 261-276
Persistent link: https://www.econbiz.de/10012542845
Saved in:
2
Watch me improve : algorithm aversion and demonstrating the ability to learn
Berger, Benedikt
;
Adam, Martin
;
Rühr, Alexander
; …
- In:
Business & information systems engineering
63
(
2021
)
1
,
pp. 55-68
Persistent link: https://www.econbiz.de/10012427503
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