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

2009/01/01 by Brigitte Burgemeestre, Jianwei Liu, Burgemeestre, Brigitte +5
Business, Management and Accounting · Computer Science · #Business Process Modeling and Analysis #E-government #Information Technology Governance and Strategy #Semantic Web and Ontologies #decision support systems #shared mental models

paper · doi:10.4230/dagsemproc.09121.15

openalex publication_date 2009/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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.

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