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~person:"Naz, Farheen"
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Naz, Farheen
Kumar, Anil
406
Dash, Manoj Kumar
48
Luthra, Sunil
45
Engelhardt, Gary V.
35
Garza-Reyes, Jose Arturo
30
Kumar, Vikas
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Liang, Che-Yuan
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Sahu, Rajendra
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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
A meta-analysis of sustainable supply chain practices and performance : the moderating roles of type of economy and innovation
Yadav, Sanjeev
;
Choi, Tsan-Ming
;
Kumar, Anil
;
Luthra, Sunil
- In:
International journal of operations & production management
43
(
2023
)
5
,
pp. 802-845
Persistent link: https://www.econbiz.de/10014253108
Saved in:
3
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:
4
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:
5
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:
6
Drivers, barriers and practices of net zero economy : an exploratory knowledge based supply chain multi-stakeholder perspective framework
Singh, Jagriti
;
Pandey, Krishan Kumar
;
Kumar, Anil
; …
- In:
Operations management research : OMR ; advancing …
16
(
2023
)
3
,
pp. 1059-1090
Persistent link: https://www.econbiz.de/10014425830
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