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Governance of Multi-level and Multi-actor Systems for EU Customs Supervision
The vessels transporting the cargo can face change in itinerary because of various factors. The E... more The vessels transporting the cargo can face change in itinerary because of various factors. The ENS documents are submitted to the customs office of first entry before loading the cargo onto the vessel. The issues that the customs faced were unavailability or incomplete Entry Summary Declarations (ENS) to perform the risk assessment because of the change in itinerary of the vessels. Due to this unavailability and incomplete ENS documents, it is difficult for customs to perform their risk assessment processes. This results in an inefficient process and incurs costs. Due to the growing amount of trade into the European Union, these issues cause a serious problem in the functioning of the customs authorities of the EU. In 2018, the PROFILE research project of the EU investigated the possibility of using blockchain technology for availability of information to the customs. The blockchain technology is a decentralized platform. In the PROFILE project it was examined whether blockchain ca...
Collective data analytics capability building offers opportunities for government organizations t... more Collective data analytics capability building offers opportunities for government organizations to develop capabilities that would be difficult to develop on their own. However, research on that topic is scarce and there is still a limited understanding of how collective data analytics capability building processes contribute to the value realization of the individual participating organizations. In this paper, drawing from the governance literature and by analyzing a case study from the customs domain we develop a governance model that allows to analyze collective data analytics capability building processes. Our governance model is a contribution to the literature on the use of data analytics in government, with the specific focus on understanding the collective data analytics capability building processes. For practitioners, the model can be used for identifying scenarios for engaging in collective data analytics initiatives in a multi-level context.
Governance of Multi-level and Multi-actor Systems for EU Customs Supervision
The vessels transporting the cargo can face change in itinerary because of various factors. The E... more The vessels transporting the cargo can face change in itinerary because of various factors. The ENS documents are submitted to the customs office of first entry before loading the cargo onto the vessel. The issues that the customs faced were unavailability or incomplete Entry Summary Declarations (ENS) to perform the risk assessment because of the change in itinerary of the vessels. Due to this unavailability and incomplete ENS documents, it is difficult for customs to perform their risk assessment processes. This results in an inefficient process and incurs costs. Due to the growing amount of trade into the European Union, these issues cause a serious problem in the functioning of the customs authorities of the EU. In 2018, the PROFILE research project of the EU investigated the possibility of using blockchain technology for availability of information to the customs. The blockchain technology is a decentralized platform. In the PROFILE project it was examined whether blockchain ca...
Collective data analytics capability building offers opportunities for government organizations t... more Collective data analytics capability building offers opportunities for government organizations to develop capabilities that would be difficult to develop on their own. However, research on that topic is scarce and there is still a limited understanding of how collective data analytics capability building processes contribute to the value realization of the individual participating organizations. In this paper, drawing from the governance literature and by analyzing a case study from the customs domain we develop a governance model that allows to analyze collective data analytics capability building processes. Our governance model is a contribution to the literature on the use of data analytics in government, with the specific focus on understanding the collective data analytics capability building processes. For practitioners, the model can be used for identifying scenarios for engaging in collective data analytics initiatives in a multi-level context.