Volume 26, Issue 1, April 2019, Pages 58–68
Mohamed ANOUCHE1 and Younes BOUMAAZ2
1 Department of Economics, Center of Doctoral Studies in Law and Economics, Faculty of Legal, Economic and Social Sciences Souissi, Mohammed V University, Rabat, Morocco
2 Department of Economics, Center of Doctoral Studies in Law and Economics, Faculty of Legal, Economic and Social Sciences Souissi, Mohammed V University, Rabat, Morocco
Original language: English
Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Risk management is a concept that attracts central attention from managers and organizations around the world to ensure the safety of people and goods. In the customs context, it is increasingly proved to be complex with the development of trade and the circulation of people around the world. This complexity is related to the volume, but also to the techniques used by both individuals and organizations. The challenges of customs administrations are becoming more important, but the potential created by the tools made available by information and communication technologies is proving to have great potential for customs, business and individuals. Sources such as big data are an important source of information, and networked machines, thanks to technological advances, enable fast and efficient processing of data and processes. The coupling of foresight with the means mentioned above makes it possible to plan in the short, medium and long term, by establishing plausible scenarios. Big data combined with a structured foresight approach can reduce uncertainties and anticipate better risk management while remaining flexible in a constantly dynamic environment. Developing countries are at the forefront, given the challenges they face. The experiences of some developed countries are pioneering in this regard, and can be a source of learning for value creation.
Author Keywords: Foresight, Big Data, Predictive Analysis, Customs Administrations, Risk Management.
Mohamed ANOUCHE1 and Younes BOUMAAZ2
1 Department of Economics, Center of Doctoral Studies in Law and Economics, Faculty of Legal, Economic and Social Sciences Souissi, Mohammed V University, Rabat, Morocco
2 Department of Economics, Center of Doctoral Studies in Law and Economics, Faculty of Legal, Economic and Social Sciences Souissi, Mohammed V University, Rabat, Morocco
Original language: English
Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Risk management is a concept that attracts central attention from managers and organizations around the world to ensure the safety of people and goods. In the customs context, it is increasingly proved to be complex with the development of trade and the circulation of people around the world. This complexity is related to the volume, but also to the techniques used by both individuals and organizations. The challenges of customs administrations are becoming more important, but the potential created by the tools made available by information and communication technologies is proving to have great potential for customs, business and individuals. Sources such as big data are an important source of information, and networked machines, thanks to technological advances, enable fast and efficient processing of data and processes. The coupling of foresight with the means mentioned above makes it possible to plan in the short, medium and long term, by establishing plausible scenarios. Big data combined with a structured foresight approach can reduce uncertainties and anticipate better risk management while remaining flexible in a constantly dynamic environment. Developing countries are at the forefront, given the challenges they face. The experiences of some developed countries are pioneering in this regard, and can be a source of learning for value creation.
Author Keywords: Foresight, Big Data, Predictive Analysis, Customs Administrations, Risk Management.
How to Cite this Article
Mohamed ANOUCHE and Younes BOUMAAZ, “Customs risk management in developing countries: Foresight approach using big data,” International Journal of Innovation and Applied Studies, vol. 26, no. 1, pp. 58–68, April 2019.
