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person:"Chhabra, Meenal"
~person:"Kumar, Anil"
~person:"Mullainathan, Sendhil"
~type_genre:"Aufsatz in Zeitschrift"
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Search: subject_exact:"Artificial intelligence"
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Chhabra, Meenal
Kumar, Anil
Mullainathan, Sendhil
Dwivedi, Yogesh Kumar
22
Gkonkas, Periklēs
12
Parida, Vinit
12
Kietzmann, Jan
11
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Jabeur, Sami Ben
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Guha, Abhijit
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ECONIS (ZBW)
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Reviewing the applications of artificial intelligence in sustainable supply chains : exploring research propositions for future directions
Naz, Farheen
;
Agrawal, Rohit
;
Kumar, Anil
;
Gunasekaran, …
- In:
Business strategy and the environment
31
(
2022
)
5
,
pp. 2400-2423
Persistent link: https://www.econbiz.de/10013279229
Saved in:
2
Property management enabled by artificial intelligence post Covid-19 : an exploratory review and future propositions
Naz, Farheen
;
Kumar, Anil
;
Upadhyay, Arvind
;
Chokshi, …
- In:
International journal of strategic property management
26
(
2022
)
2
,
pp. 156-171
Persistent link: https://www.econbiz.de/10013415698
Saved in:
3
Progress and trends in integrating Industry 4.0 within Circular Economy : a comprehensive literature review and future research propositions
Agrawal, Rohit
;
Wankhede, Vishal A.
;
Kumar, Anil
; …
- In:
Business strategy and the environment
31
(
2022
)
1
,
pp. 559-579
Persistent link: https://www.econbiz.de/10012815581
Saved in:
4
Artificial intelligence an enabler for sustainable engineering decision-making in uncertain environment : a review and future propositions
Wankhede, Vishal Ashok
;
Agrawal, Rohit
;
Kumar, Anil
; …
- In:
Journal of global operations and strategic sourcing
17
(
2024
)
2
,
pp. 384-401
Persistent link: https://www.econbiz.de/10014526745
Saved in:
5
Artificial intelligence - partner relationships management for climate management in B2B firms to achieve sustainable competitiveness
Samadhiya, Ashutosh
;
Kumar, Anil
;
Yadav, Sanjeev
; …
- In:
Industrial marketing management : the international …
115
(
2023
),
pp. 510-525
Persistent link: https://www.econbiz.de/10014455359
Saved in:
6
Digging DEEP : futuristic building blocks of omni-channel healthcare supply chains resiliency using machine learning approach
Kumar, Anil
;
Naz, Farheen
;
Luthra, Sunil
;
Vashistha, Rajat
- In:
Journal of business research : JBR
162
(
2023
),
pp. 1-14
Persistent link: https://www.econbiz.de/10014302550
Saved in:
7
A systematic literature review of data science, data analytics and machine learning applied to healthcare engineering systems
Salazar-Reyna, Roberto
;
Gonzalez-Aleu, Fernando
; …
- In:
Management decision
60
(
2022
)
2
,
pp. 300-319
Persistent link: https://www.econbiz.de/10013162823
Saved in:
8
Is artificial intelligence an enabler of supply chain resiliency post COVID-19? : an exploratory state-of-the-art review for future research
Naz, Farheen
;
Kumar, Anil
;
Majumdar, Abhijit
;
Agrawal, Rohit
- In:
Operations management research : OMR ; advancing …
15
(
2022
)
1/2
,
pp. 378-398
Persistent link: https://www.econbiz.de/10013462413
Saved in:
9
An exploratory state-of-the-art review of artificial intelligence applications in circular economy using structural topic modeling
Agrawal, Rohit
;
Wankhede, Vishal Ashok
;
Kumar, Anil
; …
- In:
Operations management research : OMR ; advancing …
15
(
2022
)
3/4
,
pp. 609-626
Persistent link: https://www.econbiz.de/10013462442
Saved in:
10
Diagnosing physician error : a machine learning approach to low-value health care
Mullainathan, Sendhil
;
Obermeyer, Ziad
- In:
The quarterly journal of economics
137
(
2022
)
2
,
pp. 679-727
Persistent link: https://www.econbiz.de/10013188764
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