EconPapers    
Economics at your fingertips  
 

Recovering Global Supply Chains from Sourcing Interruptions: The Role of Sourcing Strategy

Nitish Jain (), Karan Girotra () and Serguei Netessine ()
Additional contact information
Nitish Jain: Management Science and Operations, London Business School, London NW1 4SA, United Kingdom
Karan Girotra: Cornell Tech, New York, New York 10011
Serguei Netessine: Operations, Information and Decisions, The Wharton School, Philadelphia, Pennsylvania 19104

Manufacturing & Service Operations Management, 2022, vol. 24, issue 2, 846-863

Abstract: Problem definition: Fast recovery from sourcing interruptions is a key objective for global supply chains and for business continuity professionals. In this paper, we study the impact of different supply chain strategies—supplier diversification and the use of long-term relationships—on the ability of a supply chain to recover from sourcing interruptions. Academic/practical relevance: Improving supply chains’ recovery ability has been an important focus area for both practitioners and academics. Collectively, available anecdotal evidence and theoretical analyses provide ambiguous recommendations driven by competing effects of different sourcing strategies. Our paper provides the first rigorous and large-scale empirical evidence relating the use of different supply chain strategies to the ability of a supply chain to recover from supply interruptions. Methodology: We develop a compound estimator of a supply chain’s recovery rate that can be constructed using limited available data (only the time series of firms’ actual sourcing behavior). Using more than two and half million import manifests, we extract firms’ maritime sourcing transactions and use this data to estimate recovery rates of different firm-category supply chains of publicly traded U.S. firms. Results: We find that supplier diversification is associated with slower recovery from sourcing interruptions, whereas the use of long-term relationships is associated with faster recovery. A one standard deviation decrease in the former is associated with a 16% faster recovery, and a like increase in the latter is associated with a 20% faster recovery. Managerial implications: Our paper brings important empirical evidence to the hitherto theoretical debate on the impact of sourcing strategies on faster recovery in supply chains. We therefore provide actionable advice on supply chain design for faster recovery.

Keywords: supply chain; sourcing interruption; supplier diversification; long-term relationships; empirical analysis; time to recovery (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/msom.2021.0967 (application/pdf)

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:inm:ormsom:v:24:y:2022:i:2:p:846-863

Access Statistics for this article

More articles in Manufacturing & Service Operations Management from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-03-19
Handle: RePEc:inm:ormsom:v:24:y:2022:i:2:p:846-863