Abstract
| Original language | English |
|---|---|
| Title of host publication | Enterprise Information Systems |
| Subtitle of host publication | Revised Selected Papers, ICEIS 2013 |
| Editors | S. Hammoudi, J. Cordeiro, L.A. Maciaszek, J. Filipe |
| Place of Publication | Heidelberg |
| Publisher | Springer Verlag |
| Pages | 190-205 |
| Volume | 190 |
| ISBN (Print) | 9783319094915 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 15th International Conference on Enterprise Information Systems (ECEIS 2013) - Angers, France Duration: 4 Jul 2013 → 7 Jul 2013 |
Publication series
| Name | Lecture Notes in Business Information Processing |
|---|---|
| Volume | 190 |
Conference
| Conference | 15th International Conference on Enterprise Information Systems (ECEIS 2013) |
|---|---|
| Country | France |
| City | Angers |
| Period | 4/07/13 → 7/07/13 |
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Keywords
- risk management
- supply chain exceptions
- business intelligence
- collaboration
Cite this
}
Business intelligence for improving supply chain risk management. / Liu, L.; Daniels, H.A.M.; Hofman, W.
Enterprise Information Systems: Revised Selected Papers, ICEIS 2013. ed. / S. Hammoudi; J. Cordeiro; L.A. Maciaszek; J. Filipe. Vol. 190 Heidelberg : Springer Verlag, 2014. p. 190-205 (Lecture Notes in Business Information Processing; Vol. 190).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review
TY - CHAP
T1 - Business intelligence for improving supply chain risk management
AU - Liu, L.
AU - Daniels, H.A.M.
AU - Hofman, W.
PY - 2014
Y1 - 2014
N2 - The risk management over a supply chain has to be founded on the management controls in each of the partner companies in the chain. Inevitably, the business relationship and operations dependence bind the 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 analyse 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. The analysis process is driven by diagnostic drill-down operations following the equations of the information structure in which the data are organised. Using business intelligence, the analysis method can generate explanations supported by the data. A “risk template” is provided to assist analysts to fully comprehend the risk scenario in the practical business setting, so as to evaluate and re-design the existing controls, and to apply BI for management improvement.
AB - The risk management over a supply chain has to be founded on the management controls in each of the partner companies in the chain. Inevitably, the business relationship and operations dependence bind the 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 analyse 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. The analysis process is driven by diagnostic drill-down operations following the equations of the information structure in which the data are organised. Using business intelligence, the analysis method can generate explanations supported by the data. A “risk template” is provided to assist analysts to fully comprehend the risk scenario in the practical business setting, so as to evaluate and re-design the existing controls, and to apply BI for management improvement.
KW - risk management
KW - supply chain exceptions
KW - business intelligence
KW - collaboration
U2 - 10.1007/978-3-319-09492-2_12
DO - 10.1007/978-3-319-09492-2_12
M3 - Chapter
SN - 9783319094915
VL - 190
T3 - Lecture Notes in Business Information Processing
SP - 190
EP - 205
BT - Enterprise Information Systems
A2 - Hammoudi, S.
A2 - Cordeiro, J.
A2 - Maciaszek, L.A.
A2 - Filipe, J.
PB - Springer Verlag
CY - Heidelberg
ER -