License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.09121.15
URN: urn:nbn:de:0030-drops-19164
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2009/1916/
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Burgemeestre, Brigitte ; Liu, Jianwei ; Hulstijn, Joris ; Tan, Yao-Hua

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

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09121.TanYaoHua.Paper.1916.pdf (0.2 MB)

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.

BibTeX - Entry

@InProceedings{burgemeestre_et_al:DagSemProc.09121.15,
  author =	{Burgemeestre, Brigitte and Liu, Jianwei and Hulstijn, Joris and Tan, Yao-Hua},
  title =	{{Early requirements engineering for e-customs decision support: Assessing overlap in mental models}},
  booktitle =	{Normative Multi-Agent Systems},
  pages =	{1--17},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9121},
  editor =	{Guido Boella and Pablo Noriega and Gabriella Pigozzi and Harko Verhagen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2009/1916},
  URN =		{urn:nbn:de:0030-drops-19164},
  doi =		{10.4230/DagSemProc.09121.15},
  annote =	{Keywords: E-government, shared mental models, decision support systems}
}

Keywords: E-government, shared mental models, decision support systems
Collection: 09121 - Normative Multi-Agent Systems
Issue Date: 2009
Date of publication: 11.03.2009

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