Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications
Crossref DOI link: https://doi.org/10.1007/s10479-022-04700-9
Published Online: 2022-05-03
Published Print: 2023-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Choudhary, Nishat Alam
Singh, Shalabh
Schoenherr, Tobias https://orcid.org/0000-0003-4958-189X
Ramkumar, M.
Text and Data Mining valid from 2022-05-03
Version of Record valid from 2022-05-03
Article History
Accepted: 4 April 2022
First Online: 3 May 2022
Declarations
:
: The authors declare that they have no conflict of interest.