An intuitive fuzzy approach for evaluating financial resiliency of supply chain

Iman Ghasemian Sahebi (), Seyed Pendar Toufighi (), Gencay Karakaya () and Shahryar Ghorbani ()
Additional contact information
Iman Ghasemian Sahebi: University of Tehran
Seyed Pendar Toufighi: University of Tehran
Gencay Karakaya: Istanbul Commerce University
Shahryar Ghorbani: University of Sakarya

OPSEARCH, 2022, vol. 59, issue 2, No 2, 460-481

Abstract: Abstract Since the financial crisis of 2008, financial resiliency has gradually become a crucial tools employed by supply chains worldwide to resist external risks and shocks. Risks and shocks sometimes creating a turbulent environment can vary in intensity and frequency and may be attributed to a system's internal or external factors. Resilience is defined as the capacity to withstand risks that are more significant, rapid recovery after risks, and reduced degradation by virtue of a certain number of hazards. Financial resiliency focuses on how an organization efficiently deploys the remaining financial resources and invests in maintenance and reconstruction strategies to accelerate the recovery process. This study aims to identify and classify the criteria for measuring supply chain financial resilience using the hybrid Fuzzy Delphi Method (FDM) and intuitive fuzzy DEMATEL technique with interval values (IVIF-DEMATEL). For this purpose, by reviewing the literature, 29 criteria of supply chain financial resiliency were identified, and after screening by FDM, 12 criteria were finalized. In the next step, the desired criteria were classified into two category, and the importance of each was determined.

Keywords: Financial resiliency; Redundancy; Intuitive fuzzy number; DEMATEL; Mathematics Subject Classification; C10; C61 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s12597-021-00563-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:opsear:v:59:y:2022:i:2:d:10.1007_s12597-021-00563-z

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/12597

DOI: 10.1007/s12597-021-00563-z

Access Statistics for this article

OPSEARCH is currently edited by Birendra Mandal

More articles in OPSEARCH from Springer, Operational Research Society of India
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().