Early requirements engineering for e-customs decision support: Assessing overlap in mental models

B. Burgemeestre, Jianwei Liu, J Hulstijn, Y Tan

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

9 Citations (Scopus)

Abstract

Developing decision support systems is a complex process. It involves stakeholders with diverging interpretations of the task and domain. In this paper, we propose to use ontology mapping to make a detailed analysis of the overlaps and differences between mental models of stakeholders. The technique is applied to an extensive case study about EU customs regulations. Companies which can demonstrate to be ‗in control‘ of the safety and security in the supply chain, may become ‗Authorized Economic Operator‘ (AEO), and avoid inspections by customs. We focus on a decision support tool, AEO Digiscan, developed to assist companies with an AEO self-assessment. We compared the mental models of customs officials, with mental models of the developers of the tool. The results highlight important differences in the interpretation of the new regulations, which will lead to adaptations of the tool.
Original languageEnglish
Title of host publicationProceedings of the Forum at the CAiSE 2009 Conference
EditorsE. Yu, J. Eder, C. Rolland
Place of PublicationAmsterdam
Pages31-36
Number of pages6
Publication statusPublished - 2009
Externally publishedYes
EventForum at the CAiSE 2009 Conference - Amsterdam, Netherlands
Duration: 8 Jun 200912 Jun 2009

Publication series

NameCEUR Workshop Proceedings
Volume453

Conference

ConferenceForum at the CAiSE 2009 Conference
CountryNetherlands
CityAmsterdam
Period8/06/0912/06/09

Keywords

  • e-government
  • shared mental models
  • decision support systems

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    Burgemeestre, B., Liu, J., Hulstijn, J., & Tan, Y. (2009). Early requirements engineering for e-customs decision support: Assessing overlap in mental models. In E. Yu, J. Eder, & C. Rolland (Eds.), Proceedings of the Forum at the CAiSE 2009 Conference (pp. 31-36). (CEUR Workshop Proceedings; Vol. 453).. http://ceur-ws.org/Vol-453/paper06.pdf