Using fit perspectives to explain supply chain risk management efficacy
Carmen González-Zapatero,
Javier González-Benito,
Gustavo Lannelongue and
Luis Miguel Ferreira
International Journal of Production Research, 2021, vol. 59, issue 17, 5272-5283
Abstract:
Supply chain risk management (SCRM) literature acknowledges that the choice of SCRM strategies should fit with contextual factors. Yet empirical support for this premise is scarce, mainly relies on just a single type of fit analysis, and lacks any consideration of organisational structures. Accordingly, this article combines two perspectives of fit analysis: ‘fit as profile deviation’ and ‘fit as moderation’. The former supports the introduction of two concepts: risk management incoherence (RMI) and risk management efficacy (RME). Whereas RMI refers to the lack of fit between the perceived usefulness of different mitigation strategies and their degree of implementation; RME pertains to the fit between the perceived relevance of different SCRM objectives and the degree to which they are achieved. The latter allows us to posit a negative effect of RMI on RME and a negative moderation of the time assigned to a Risk Manager on that effect. A sample of 106 companies confirms the proposed model. Therefore, this study expands existing literature on contingent SCRM and on organisational structures for SCRM.
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2020.1776412 (text/html)
Access to full text is restricted to subscribers.
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:taf:tprsxx:v:59:y:2021:i:17:p:5272-5283
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20
DOI: 10.1080/00207543.2020.1776412
Access Statistics for this article
International Journal of Production Research is currently edited by Professor A. Dolgui
More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().