Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/3049
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dc.contributor.authorGanguly, Kunal
dc.date.accessioned2021-08-27T07:40:44Z
dc.date.available2021-08-27T07:40:44Z
dc.date.issued2013-11
dc.identifier.issn0304-0941 (print version) ; 2197-1722 (electronic version)
dc.identifier.urihttps://doi.org/10.1007/s40622-013-0012-2
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/3049
dc.descriptionKunal Ganguly, Indian Institute of Management, Kashipur, 244713, Uttarakhand, India
dc.descriptionp.85-97
dc.descriptionIssue Editor – Bhaskar Chakrabarti, IIM Calcutta, Kolkata, India
dc.description.abstractThe purpose of the research was to understand the inherent questions related to supply risk and its management. The task was to investigate how organizations discover and assess the existing supply risk to establish the extent of losses, the likelihood of potential losses, and the significance of potential losses. Case studies of six purchasing organizations were conducted to investigate how those purchasing organizations perceive and manage supply risk. The case organizations defined perfect order in relation to supply risk in terms of meeting complete and correct order, defect free, and the financial effect. The organizations implement supply management techniques that focus on quality and supplier improvement that had a secondary purpose to discover supply risk. The research findings can provide supply managers insights into techniques for proactively discovering and assessing supply risk. A combination of some or all of these techniques can be integrated for proactively understanding the supply risk that exists, and the potential impact that risk would have.
dc.publisherIndian Institute of Management Calcutta, Kolkata
dc.relation.ispartofseriesVol.40;No.1-2
dc.subjectSupply risk
dc.subjectPerfect order
dc.subjectSourcing
dc.subjectSupply risk management
dc.subjectCase study
dc.subjectProcurement
dc.titleA case study approach for understanding inbound supply risk assessment
dc.typeArticle
Appears in Collections:Issue 1 & 2, June-September 2013

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