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Growing Science » Tags cloud » Data-Driven Decision-Making

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Sort articles by: ๐Ÿ“– Volume | ๐Ÿ“… Date | โญ Most Rates | ๐Ÿ‘๏ธ Most Views | ๐Ÿš€ Rising Stars | ๐Ÿ”— Citations (Scopus) | ๐Ÿ”ฅ Hot Papers
1.

The dynamic role of business intelligence in developing effective planning strategies through analyzing data as an influential variable: Case of engineering the pharmaceutical sector in Jordan Pages 1189-1204 PDF Download PDF

Authors: Hisham O. Mbaidin

doi 10.5267/j.uscm.2023.11.015

๐Ÿ”‘ Keywords: Business Intelligence (BI), Pharmaceutical industry, Effective planning strategies, Data-Driven Decision-Making

Abstract:
In the current pharmaceutical context of Jordan, the significance of Business Intelligence (BI) has emerged as a crucial factor in designing efficient planning methods. This research investigates the transformative impact of business intelligence (BI) in four key domains: drug development enhancement, operational optimization, compliance assurance, and market dynamics comprehension. The research highlights the need to utilize a data-driven methodology to emphasize the value of business intelligence (BI) tools in extracting valuable insights, facilitating strategic decision-making, and promoting operational efficiency. The results indicate that pharmaceutical organizations that utilize business intelligence (BI) can uncover concealed patterns, recognize chances for growth, and make well-informed decisions. Additionally, the capacity of business intelligence (BI) to integrate novel data has accelerated the development of resilient technical frameworks, thereby reinforcing its essential position within the pharmaceutical sector in Jordan. This research serves as evidence of the potential of business intelligence (BI) in facilitating innovation, surmounting obstacles, and eventually improving patient outcomes.
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Journal: USCM | Year: 2024 | Volume: 12 | Issue: 2 | Views: 3822

 
2.

Customs intelligence and risk management in sustainable supply chain for general customs department logistics Pages 387-398 PDF Download PDF

Authors: Omar M. Shubailat, Murad Ali Ahmad Al-Zaqeba, Aziz Madi, Ahmad MohD Ababneh

doi 10.5267/j.uscm.2023.9.013

๐Ÿ”‘ Keywords: Customs Intelligence, Risk Management, Sustainable Supply Chain, Jordanian Customs, Data-Driven Decision-Making, Customs Regulations

Abstract:
In 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.
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Journal: USCM | Year: 2024 | Volume: 12 | Issue: 1 | Views: 4136

 

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