Analyzing drivers of risks in electronic supply chains: a grey–DEMATEL approach

Analyzing drivers of risks in electronic supply chains: a grey–DEMATEL approach Supply chains today are exposed to a lot of turbulence with outsized unforeseen penalties of seemingly contained events. It is significant for practitioners to identify and classify risks into various categories for the ease of monitoring. After the risks are classified, drivers for the particular risk need to be identified and addressed. A distinctive risk driver can be the instigating cause for many auxiliary drivers of risks; alternatively, a risk driver can be a secondary driver initiated as the effect of one or more primary drivers. This study contributes to ascertain and construct a causal effect diagram on predominant risk drivers archetypally seen in electronic supply chains. A combination of grey theory and DEMATEL methodologies has been employed in this study and a case evaluation was also done. The combined methodology is to deal with judgmental decisions and to transmute them to interpretable cause–effect diagraphs. It is evident from the results of proposed model that the risk drivers are interconnected and one risk driver can be the cause/effect of one or more risk drivers. Fluctuating exchange rates is found to be the principal causal driver initiating the effects of other risk drivers too, trailed by loss of information system and supply failure. Risk arising from the cost of capacity is the effect driver for most of the risk drivers, followed by bull whip effects and capacity inflexibility. In conclusion, the benefits of the research are of twofold, first to recognize and categorize the drivers of major supply chain risks and the other is to effectively identify the chief risk drivers, where the managers and practitioners could really concentrate on. A significant managerial implication of this research is that steps taken for curtailing the causal risk drivers can sequentially lead to dwindled effect risk drivers, leading to enhanced management of supply chain vulnerability. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The International Journal of Advanced Manufacturing Technology Springer Journals

Analyzing drivers of risks in electronic supply chains: a grey–DEMATEL approach

Loading next page...
 
/lp/springer-journals/analyzing-drivers-of-risks-in-electronic-supply-chains-a-grey-dematel-TJ3ZnHHX0W
Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer-Verlag London
Subject
Engineering; Industrial and Production Engineering; Media Management; Mechanical Engineering; Computer-Aided Engineering (CAD, CAE) and Design
ISSN
0268-3768
eISSN
1433-3015
D.O.I.
10.1007/s00170-017-0118-3
Publisher site
See Article on Publisher Site

Abstract

Supply chains today are exposed to a lot of turbulence with outsized unforeseen penalties of seemingly contained events. It is significant for practitioners to identify and classify risks into various categories for the ease of monitoring. After the risks are classified, drivers for the particular risk need to be identified and addressed. A distinctive risk driver can be the instigating cause for many auxiliary drivers of risks; alternatively, a risk driver can be a secondary driver initiated as the effect of one or more primary drivers. This study contributes to ascertain and construct a causal effect diagram on predominant risk drivers archetypally seen in electronic supply chains. A combination of grey theory and DEMATEL methodologies has been employed in this study and a case evaluation was also done. The combined methodology is to deal with judgmental decisions and to transmute them to interpretable cause–effect diagraphs. It is evident from the results of proposed model that the risk drivers are interconnected and one risk driver can be the cause/effect of one or more risk drivers. Fluctuating exchange rates is found to be the principal causal driver initiating the effects of other risk drivers too, trailed by loss of information system and supply failure. Risk arising from the cost of capacity is the effect driver for most of the risk drivers, followed by bull whip effects and capacity inflexibility. In conclusion, the benefits of the research are of twofold, first to recognize and categorize the drivers of major supply chain risks and the other is to effectively identify the chief risk drivers, where the managers and practitioners could really concentrate on. A significant managerial implication of this research is that steps taken for curtailing the causal risk drivers can sequentially lead to dwindled effect risk drivers, leading to enhanced management of supply chain vulnerability.

Journal

The International Journal of Advanced Manufacturing TechnologySpringer Journals

Published: Mar 9, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off