Title
Value of Big Data Analytics for Customs Supervision in e-Commerce
Author
Rukanova, B.D. (TU Delft Information and Communication Technology) 
Tan, Y. (TU Delft Information and Communication Technology)
Slegt, Micha (Customs Administration of the Netherlands)
Molenhuis, Marcel (Customs Administration of the Netherlands)
Van Rijnsoever, Ben (IBM Nederland)
Plecko, Krunoslav (IBM Research Ireland)
Caglayan, Bora (IBM Research Ireland)
Shorten, Gavin (IBM Research Ireland)
Contributor
Lindgren, Ida (editor)
Janssen, Marijn (editor)
Lee, Habin (editor)
Polini, Andrea (editor)
Bolívar, Manuel Pedro Rodríguez (editor)
Scholl, Hans Jochen (editor)
Tambouris, Efthimios (editor)
Date
2019
Abstract
Big data and analytics have received a lot of attention in e-government research over the last decade and practitioners and researchers are looking into the transformative power of this technology to create for example competitive advantage, and increase transparency. Recent research points out that while parties are aware of the transformative power of this technology, understanding the value that this technology can bring for their specific organizations still remains a challenge. Data analytics is in particular interesting to support supervision tasks of governments. Here we take the customs supervision as a typical example where data analytics is used to support government in its supervision role. The main question addressed in this paper is: How to understand the value of big data analytics for government supervision? To address this question this research builds upon a case study where big data analytics solutions are developed and piloted as part of the PROFILE EU-funded research project. We adapt and utilize a recently published integrated model of big data value realization of Günther et al. [5] as a conceptual lens to structure the case findings. As a result we develop a more detailed model for analyzing value of big data specifically in the context of customs as an example of a specific domain of government supervision. This research contributes to the eGovernment literature on articulating value from big data analytics, particularly focusing on the role of government supervision.
Subject
Big data
Customs
Data analytics
e-Commerce
Government supervision
Value
Web data retrieval
To reference this document use:
http://resolver.tudelft.nl/uuid:1f0d7aa9-a0d6-47ee-9628-681353ea3b11
DOI
https://doi.org/10.1007/978-3-030-27325-5_22
Publisher
Springer
Embargo date
2020-01-31
ISBN
978-3-030-27324-8
Source
Electronic Government - 18th IFIP WG 8.5 International Conference, EGOV 2019, Proceedings
Event
18th IFIP WG 8.5 International Conference, EGOV 2019, 2019-09-02 → 2019-09-04, San Benedetto Del Tronto,, Italy
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 0302-9743, 11685 LNCS
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2019 B.D. Rukanova, Y. Tan, Micha Slegt, Marcel Molenhuis, Ben Van Rijnsoever, Krunoslav Plecko, Bora Caglayan, Gavin Shorten