Skip to main content
SpringerLink
Log in
Book cover

International Conference on Enterprise Information Systems

ICEIS 2013: Enterprise Information Systems pp 190–205Cite as

Business Intelligence for Improving Supply Chain Risk Management

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 190))

Abstract

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.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Rushton, A.: International Logistics and Supply Chain Outsourcing: From Local to Global. Kogan Page Publishers, London (2007)

    Google Scholar 

  2. Christopher, M., Lee, H.L.: Mitigating supply chain risk through improved confidence. Int. J. Phys. Distrib. Logist. Manag. 34, 388–396 (2004). doi:10.1108/09600030410545436

    Article  Google Scholar 

  3. Bartlett, P.A., Julien, D.M., Baines, T.S.: Improving supply chain performance through improved visibility. Int. J. Logist. Manag. 18, 294–313 (2007). doi:10.1108/09574090710816986

    Article  Google Scholar 

  4. Peck, H.: Drivers of supply chain vulnerability: an integrated framework. Int. J. Phys. Distrib. Logist. Manag. 35, 210–232 (2005). doi:10.1108/09600030510599904

    Article  Google Scholar 

  5. Hulstijn, J., Overbeek, S.: International Logistics and Supply Chain Outsourcing: From Local to Global. Advanced Information Systems Engineering Workshops, pp. 351–365. Springer, Berlin (2012)

    Google Scholar 

  6. Lee, G., Kulkarni, U.: Business intelligence in corporate risk management. AMCIS (2011)

    Google Scholar 

  7. Davenport, T.: Competing on analytics. Harv. Bus. Rev. 84, 98–107 (2006)

    Google Scholar 

  8. Sodhi, M.S., Tang, C.S.: Managing supply chain disruptions via time-based risk management. In: Wu, T., Blackhurst, J. (eds.) Managing Supply Chain Risk and Vulnerability, pp. 29–40. Springer, London (2009)

    Chapter  Google Scholar 

  9. Lund, M.S., Solhaug, B., Stølen, K.: Model-Driven Risk Analysis: The CORAS Approach, 460 pp. Springer, Berlin (2011). doi:10.1007/978-3-642-12323-8

  10. Rizzi, S.: Collaborative business intelligence. In: Aufaure, M.-A., Zimányi, E. (eds.) eBISS 2011. LNBIP, vol. 96, pp. 186–205. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  11. Van Baalen, P., Zuidwijk, R., van Nunen, J.: Port inter-organizational information systems: capabilities to service global supply chains. Foundations and Trends® in Technology. Inf. Oper. Manag. 2, 81–241 (2009). doi:10.1561/0200000008

    Google Scholar 

  12. Hofman, W.: Compliance management by business event mining in supply chain networks. VMBO (2013)

    Google Scholar 

  13. Das, T.K., Teng, B.-S.: Between trust and control: developing confidence in partner cooperation in alliances. Acad. Manag. Rev. 23, 491–512 (1998)

    Google Scholar 

  14. Tomkins, C.: Interdependencies, trust and information in relationships, alliances and networks. Acc. Organ. Soc. 26, 161–191 (2001). doi:10.1016/S0361-3682(00)00018-0

    Article  Google Scholar 

  15. Laurier, W., Poels, G.: Invariant conditions in value system simulation models. Decis. Support Syst. (2013). doi:10.1016/j.dss.2013.06.009

    Google Scholar 

  16. Turetken, O., Elgammal, A., van den Heuvel, W.J., Papazoglou, M.: Enforcing compliance on business processes through the use of patterns. ECIS 2011 Proceedings, Paper 5 (2011)

    Google Scholar 

  17. Milliken, F.J.: Three types of perceived uncertainty about the environment: state, effect, and response uncertainty. Acad. Manag. Rev. 12, 133 (1987). doi:10.2307/257999

    Google Scholar 

  18. Von Wright, G.: Explanation and understanding. Annu. Rev. Psychol. 57, 227–254 (1971). doi:10.1146/annurev.psych.57.102904.190100

    Google Scholar 

  19. Vasarhelyi, M.A., Alles, M.G., Kogan, A.: Principles of analytic monitoring for continuous assurance. J. Emerg. Technol. Acc. 1, 1–21 (2004). doi:10.2308/jeta.2004.1.1.1

    Article  Google Scholar 

  20. Bay, S., Kumaraswamy, K., Anderle, M.G., Kumar, R., Steier, D.M.: Large scale detection of irregularities in accounting data. In: Sixth IEEE International Conference on Data Mining, 2006. ICDM’06, pp 75–86. IEEE (2006)

    Google Scholar 

  21. Caron, E.A.M.: Explanation of Exceptional Values in Multi-dimensional Business Databases. Erasmus University Rotterdam (2012)

    Google Scholar 

  22. Caron, E.A.M., Daniels, H.A.M.: Business analysis in the OLAP context. In: Cordeiro, J., Filipe, J. (eds) ICEIS 2009, Milan, Italy, pp. 325–330 (2009)

    Google Scholar 

  23. Caron, E.A.M., Daniels, H.A.M.: Explanation of exceptional values in multi-dimensional business databases. Eur. J. Oper. Res. 188, 884–897 (2008). doi:10.1016/j.ejor.2007.04.039

    Article  MATH  Google Scholar 

  24. Feelders, A., Daniels, H.A.M.: A general model for automated business diagnosis. Eur. J. Oper. Res. 130, 623–637 (2001). doi:10.1016/S0377-2217(99)00428-2

    Article  MATH  Google Scholar 

  25. Alles, M.G., Kogan, A., Vasarhelyi, M.A., Wu, J.: Analytical Procedures for Continuous Data Level Auditing: Continuity Equations (2010)

    Google Scholar 

  26. Feelders, A., Daniels, H.A.M.: Methodological and practical aspects of data mining. Inf. Manag. 37, 271–281 (2000). doi:10.1016/S0378-7206(99)00051-8

    Article  Google Scholar 

  27. Van Oosterhout, M.P.A.: Organizations and flows in the network. In: van Baalen, P., Zuidwijk, R., van Nunen, J. (eds.) Port Inter-Organizational Information Systems: Capabilities to Service Global Supply Chains, pp. 176–185. Now Publishers, Hanover (2009)

    Google Scholar 

  28. Pham, D.A.: EDA & Data Mining for Supply Chain Security: Risk Analysis at the Dutch Customs. Erasmus University Rotterdam (2008)

    Google Scholar 

Download references

Acknowledgements

This work was supported by the EC FP7 project CASSANDRA (Grant agreement no: 261795). We are thankful to Dr. Jan van Dalen and Dr. Marcel van Oosterhout for their constructive advice, and to Ron Triepels for his help in developing the case study.

Author information

Authors and Affiliations

  1. Rotterdam School of Management, Erasmus University, Burg. Oudlaan 50, 3062 PA, Rotterdam, The Netherlands

    Lingzhe Liu

  2. CentER, Tilburg University, Warandelaan 2, 5037 AB, Tilburg, The Netherlands

    Hennie Daniels

  3. Technical Sciences, TNO, Brasserplein 2, 2612 CT, Delft, The Netherlands

    Wout Hofman

Authors
  1. Lingzhe Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hennie Daniels
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wout Hofman
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lingzhe Liu .

Editor information

Editors and Affiliations

  1. Groupe ESEO, Angers, France

    Slimane Hammoudi

  2. Polytechnic Institute of Setúbal, Setúbal, Portugal & INSTICC, Setúbal, Portugal

    José Cordeiro

  3. Wroclaw University of Economics, Wroclaw, Poland & Macquarie University, Sydney, NSW, Australia

    Leszek A. Maciaszek

  4. Polytechnic Institute of Setúbal, Setúbal, Portugal & INSTICC, Setúbal, Poland

    Joaquim Filipe

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Liu, L., Daniels, H., Hofman, W. (2014). Business Intelligence for Improving Supply Chain Risk Management. In: Hammoudi, S., Cordeiro, J., Maciaszek, L., Filipe, J. (eds) Enterprise Information Systems. ICEIS 2013. Lecture Notes in Business Information Processing, vol 190. Springer, Cham. https://doi.org/10.1007/978-3-319-09492-2_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-09492-2_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09491-5

  • Online ISBN: 978-3-319-09492-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation