Business Intelligence for Improving Supply Chain Risk Management

Lingzhe Liu, Hennie Daniels, Marcel Oosterhout, Jan van Dalen

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The risk management over a supply chain has to be founded on the risk management in each of partner companies in the chain. The business relationship and operations dependence inevitably bind the management control efforts of partner companies together. This proposes challenges for supply chain risk management and at the same time for the BI application. In this paper we analyzed the management control situations where business intelligence technology can be applied and describe the concepts of systematic risk analysis to improve the management controls, based on causal analysis of business exceptions. A “risk template” is provide to assist analysts to fully comprehend the risk scenario in the practical business setting for evaluate and re-design the existing controls for management improvement.
Original languageEnglish
Pages (from-to)18-29
Number of pages12
JournalInternational Journal in Advanced Logistics
Volume2
Issue number2
DOIs
Publication statusPublished - 2013
Externally publishedYes

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