Auditing data reliability in international logistics: An application of bayesian networks

L. Liu, H.A.M. Daniels, R.J.M.A. Triepels

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Data reliability closely relates to the risk management in international logistics. Unreliable data negatively affect the business in various ways. Due to the competence specialization and cooperation among the business partners in a logistics chain, the business in a focal company is inevitably dependent on external data sources from its partner, which is impractical to control. In this paper, we present a research-in-progress on an analysis method with Bayesian networks. The goal is to support auditor’s assessment on the reliability of the external data. A case study is provided to illustrate the merits of Bayesian networks when dealing with the data reliability problem.
Original languageEnglish
Title of host publicationProceedings of the 16th International Conference on Enterprise Information Systems (ICEIS 2014)
EditorsS. Hammoudi, L. Maciaszek, J. Cordeiro
Place of PublicationLisbon
Pages707-712
DOIs
Publication statusPublished - 2014
Event16th International Conference on Enterprise Information Systems (ICEIS 2014) - Lisbon, Portugal
Duration: 27 Apr 201430 Apr 2014

Conference

Conference16th International Conference on Enterprise Information Systems (ICEIS 2014)
CountryPortugal
CityLisbon
Period27/04/1430/04/14

Keywords

  • data reliability
  • data-level auditing
  • business intelligence

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