Print Email Facebook Twitter Guiding Customs Administrations Towards Successful E-Commerce Import Supervision Title Guiding Customs Administrations Towards Successful E-Commerce Import Supervision: Using a Mixed-Method Approach to Identify and Evaluate Supervisory Actions in Preparation of the Reformed Union Customs Code Author Bout, Kiki (TU Delft Technology, Policy and Management) Contributor Verbraeck, A. (mentor) Bharosa, Nitesh (graduation committee) Mirer, Mariska (graduation committee) Degree granting institution Delft University of Technology Programme Engineering and Policy Analysis Date 2024-04-26 Abstract This study examines the challenges faced by the Customs Administration of the Netherlands in supervising cross-border e-commerce imports under the current European customs legislation, the Union Customs Code (UCC). Through a mixed-method approach, including qualitative interviews, document analysis, and simulation modelling, the study identifies potential supervisory actions to strengthen e-commerce import supervision, particularly in anticipation of the proposed UCC reform. The findings indicate the complexities of customs operations and emphasise the need for efficient, fair, and effective enforcement while fostering trust and accountability. The uncertainties surrounding the UCC reform, trade markets, and technological advancements are addressed, with recommendations that focus on strategic automation, stimulating curiosity among customs officers, clear communication, and further research to develop adaptive supervision strategies. These recommendations aim to address core challenges and exploit opportunities for improvement while considering feasibility constraints and potential uncertainties. Subject Customs AdministrationSimulation modellingUnion Customs CodeSupervisory ActionsInterview analysis To reference this document use: http://resolver.tudelft.nl/uuid:abf6f009-9729-4278-a7d0-504a479fb2ea Part of collection Student theses Document type master thesis Rights © 2024 Kiki Bout Files PDF KikiBout_Thesis_PUBLIC.pdf 1.7 MB Close viewer /islandora/object/uuid:abf6f009-9729-4278-a7d0-504a479fb2ea/datastream/OBJ/view