Auditing Data Reliability in International Logistics: An Application of Bayesian Networks

Lingzhe Liu, Hennie Daniels, Ron Triepels

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-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
Place of PublicationLisbon, Portugal
PublisherScitepress - Science And Technology Publications
Pages707-712
Volume1
ISBN (Print)978-989-758-028-4
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event16th International Conference on Enterprise Information Systems - Lisbon, Portugal
Duration: 27 Apr 201430 Apr 2014
Conference number: 16
http://www.iceis.org/?y=2014

Conference

Conference16th International Conference on Enterprise Information Systems
Abbreviated titleICEIS 2014
CountryPortugal
CityLisbon
Period27/04/1430/04/14
Internet address

Keywords

  • data reliability
  • data-level auditing
  • business intelligence

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