ǂthe ǂmodel for identifying risks in organisations and supply chain
Borut Jereb (Author), Teodora Ivanuša (Author), Bojan Rosi (Author)

Abstract

Risks in logistic processes represent one of the major issues in supply chain management nowadays. Every organization strives for success, and uninterrupted operations are the key factors in achieving this goal, which cannot be achieved without efficient risk management. In the scope of supply chain risk research, we identified some key issues in the field, the major issue being the lack of standardization and models, which can make risk management in an organization easier and more efficient. Consequently, we developed a model, which captures and identifies risks in an organization and its supply chain. It is in accordance with the general risk management standard - ISO 31000, and incorporates some relevant recent findings from general and supply chain risk management, especially from the viewpoint of public segmentation. This experimental catalogue (which is also published online) can serve as a checklist and a starting point of supply chain risk management in organizations. Its main idea is cooperation between experts from the area in order to compile an evergrowing list of possible risks and to provide an insight in the model and its value in practice, for which reason input and opinions of anyone who uses our model are greatly appreciated and included in the catalogue.

Keywords

oskrbne verige;management;sistemsko mišljenje;supply chain;risk management;systemic thinking;risk catalogue;requisite holism;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FL - Faculty of Logistics
UDC: 658.7
COBISS: 512476221 Link will open in a new window
ISSN: 1582-9146
Views: 954
Downloads: 80
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: Slovenian
Secondary keywords: oskrbne verige;tveganje;management;sistemsko mišljenje;katalog tveganj;
URN: URN:SI:UM:
Type (COBISS): Scientific work
Pages: str. 56-73
Volume: ǂVol. ǂ15
Issue: ǂno. ǂ33
Chronology: Feb. 2013
ID: 1029904
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