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Customs Intelligence And Risk Management In Sustainable Supply Chain For General Customs Department Logistics

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dc.contributor.authorOmar M. Shubailat
dc.contributor.authorMurad Ali Ahmad Al-Zaqeba
dc.contributor.authorAziz Madi
dc.contributor.authorAhmad Moh’D Ababneh
dc.date.accessioned2024-06-16T06:36:39Z
dc.date.available2024-06-16T06:36:39Z
dc.date.issued2024
dc.date.submitted2023-12-28
dc.descriptionUncertain Supply Chain Management Volume 12 No.1 Page (387-398)
dc.description.abstractIn this descriptive analytical study conducted within the Jordanian Customs Department, the influence of Customs Intelligence and Risk Management on Sustainable Supply Chain practices and their subsequent effects on Customs Department Logistics were investigated. Data collected through a structured questionnaire distributed to department employees were analyzed using Smart PLS-4. The findings revealed that Customs Intelligence significantly shapes Sustainable Supply Chain practices, emphasizing the importance of data driven decision-making in achieving sustainability goals. Effective Risk Management strategies were found to positively contribute to Sustainable Supply Chain initiatives, highlighting the symbiotic relationship between risk mitigation and sustainability. Sustainable Supply Chain practices, in turn, were demonstrated to enhance the efficiency of Customs Department Logistics. Furthermore, the study unveiled that Sustainable Supply Chain acts as a mediator, enhancing the impact of both Risk Management and Customs Intelligence on Logistics outcomes. These findings collectively underscore the intricate dynamics of these factors in the context of the Jordanian Customs Department, providing valuable insights for optimizing logistics operations, ensuring compliance, and fostering sustainability. This paper contributes valuable insights and empirical evidence to the fields of customs-related logistics, risk management, sustainable supply chain management, and logistics operations within the Jordanian Customs Department. The paper provides recommendations that have the potential to inform and improve logistics practices, benefiting stakeholders in both the public and private sectors and advancing the understanding of these critical dynamics in the broader logistics and supply chain management discipline.
dc.identifier.citationOmar M. Shubailat , Murad Ali Ahmad Al-Zaqeba, Aziz Madi and Ahmad Moh’D Ababneh . (2024). Customs intelligence and risk management in sustainable supply chain for general customs department logistics. Uncertain Supply Chain Management, 12(1), 387–398. https://doi.org/10.5267/j.uscm.2023.9.013
dc.identifier.doi10.5267/j.uscm.2023.9.013
dc.identifier.epage398
dc.identifier.issn2291-6822
dc.identifier.issue1
dc.identifier.other2612-6
dc.identifier.spage387
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/19959
dc.identifier.urihttps://www.growingscience.com/uscm/Vol12/uscm_2023_170.pdf
dc.identifier.volume12
dc.language.isoen_US
dc.publishergrowingscience
dc.relation.ispartofUncertain Supply Chain Management
dc.relation.issn2291-6830
dc.relation.journalUncertain Supply Chain Management
dc.subjectCustoms Intelligence Risk Management Sustainable Supply Chain Jordanian Customs Data-Driven Decision-Making Customs Regulations
dc.titleCustoms Intelligence And Risk Management In Sustainable Supply Chain For General Customs Department Logistics
dc.typetext::journal::journal article
dspace.entity.typePublication
oaire.citation.endPage398
oaire.citation.issue1
oaire.citation.startPage387
oaire.citation.volume12
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliationUniversiti Sains Islam Malaysia
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#

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