Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/310266 
Year of Publication: 
2022
Citation: 
[Journal:] Logistics [ISSN:] 2305-6290 [Volume:] 6 [Issue:] 3 [Article No.:] 57 [Year:] 2022 [Pages:] 1-22
Publisher: 
MDPI, Basel
Abstract: 
Background: The aim of this paper is to introduce weighted interpretive structural modeling approach to supply chain risk management efforts by presenting an application to identify micro risks of logistics service providers at the industry level in Turkey. Methods: In this research, eighteen risk factors in the logistics sector have been identified through both literature review and recommendations from a group of academicians and experts in the sector. A survey was conducted to rank these risks. They were further analyzed through a weighted interpretive structural modeling (WISM) approach in order to demonstrate mutual relationships among these risks. Results: Finally, using a WISM approach, an analysis was conducted to identify the driving and dependence power of the risk factors. This study covers a variety of micro-risk factors of logistics service providers and demonstrates the relationships among them and clusters them based on their driving and dependence power. Conclusions: Such a clustering of the risk factors helps us identify those that affect the others and are of paramount importance in risk management and mitigation.
Subjects: 
dependence power
driving power
logistics service providers
supply chain risk management
Turkey
weighted interpretive structural modeling (WISM)
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Appears in Collections:

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.