Potential effects of smart innovative solutions for supply chain performance

Al-Shorman, Hussam Mohd; Eldahamsheh, Mohammad Mousa; Attiany, Murad Salim; Al-Azzam, Majed Kamel Ali; Al-Quran, Ali Zakariya

doi:10.5267/j.uscm.2022.11.005

Cited by 5 publications

(2 citation statements)

References 33 publications

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“…In the USA, the impact of changing regulations on data usage in supply chain management is a critical consideration. The evolving regulatory landscape influences the adoption of Big Data solutions in supply chain management and requires companies to address compliance considerations (Ezeigweneme et al, 2024;Al-Shorman et al, 2023). Additionally, the use of predictive big data analytics for demand forecasting in supply chains is an area that requires further research, especially in closedloop supply chains (Ohenhen et al, 2024;Seyedan & Mafakheri, 2020).…”

Section: Future Trends and Developmentsmentioning

confidence: 99%

Reviewing the use of big data in supply chain optimization in the USA

Israel Osejie Okoduwa,

Bankole Ibrahim Ashiwaju,

Jeremiah Olawumi Arowoogun

et al. 2024

World J. Adv. Res. Rev.

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This paper provides a succinct overview of the review conducted on the utilization of Big Data in supply chain optimization within the United States. The advent of Big Data analytics has revolutionized traditional supply chain management, offering unprecedented opportunities for enhancing efficiency, reducing costs, and improving overall operational performance. This comprehensive review examines the current state of Big Data applications in supply chain optimization, focusing specifically on the context of the United States. The review begins by outlining the fundamental role of Big Data in transforming supply chain processes. It delves into various aspects, including data collection, processing, and analysis, emphasizing their impact on decision-making and strategic planning. Notably, the study highlights real-world examples of successful Big Data implementations within the U.S. supply chain landscape, showcasing how companies have leveraged data-driven insights to streamline operations and gain a competitive edge. Furthermore, the paper explores the challenges associated with the adoption of Big Data in supply chain management. It addresses concerns related to data security, privacy, and the need for advanced technological infrastructure. Additionally, the review considers the organizational and cultural shifts required for successful integration, emphasizing the importance of a holistic approach to implementation. The paper concludes by pointing towards future trends and potential developments in the use of Big Data for supply chain optimization in the U.S. It underscores the evolving nature of technology and its continued impact on reshaping supply chain strategies. The insights derived from this review contribute to a deeper understanding of the current landscape, offering valuable implications for practitioners, researchers, and policymakers engaged in optimizing supply chain processes through the harnessing of Big Data analytics.

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Section: Future Trends and Developmentsmentioning

confidence: 99%

Reviewing the use of big data in supply chain optimization in the USA

Israel Osejie Okoduwa,

Bankole Ibrahim Ashiwaju,

Jeremiah Olawumi Arowoogun

et al. 2024

World J. Adv. Res. Rev.

View full text Add to dashboard Cite

show abstract

“…The digital transformation enables supply chains to become faster, more granular, and much more precise. It allows businesses to track and manage their supply chains in real-time, leading to improved efficiency and reduced costs Al Shorman et al, 2023).…”

Section: Number Of Internet Usersmentioning

confidence: 99%

An Ordinary Least Squares Approach Measuring the Impact of Factors Affecting the Underground Economy of Bangladesh and Their Implications in the Context of the Country’s Supply Chain

Zafar,

Tuhin

2024

IJSB

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The underground economy, also known as the shadow, informal, or unobserved economy, operates beyond government oversight, encompassing legal and illegal activities. Its substantial size, estimated at 36.4% of Asia's GDP, prompts examination of its determinants and policy implications. This study focuses on Bangladesh, aiming to identify factors influencing the underground economy. Using data from 2000 to 2020, the study employs Ordinary Least Squares analysis with variables including inflation, unemployment, internet users, GDP growth, tax revenue, economic freedom index, and population growth. Findings reveal that the size of underground economy of the country has significant positive relationships with inflation, internet users and tax revenue. Implications for Bangladesh's supply chain include inflation driving up costs, internet users affecting online commerce, and tax revenue influencing formalization efforts. Policymakers and stakeholders can use these insights to promote transparency and reduce the underground economy's adverse impacts.

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Unraveling the interplay between supply chain analytics and healthcare supply chain performance: establishing an underlying mechanism and a boundary condition

Tetteh,

Amoako,

Kyeremeh

et al. 2024

IJQRM

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Purpose The coronavirus disease 2019 (COVID-19) pandemic represents one of the most significant disruptions to supply chains (SCs), stimulating both practitioners and scholars to seek ways to enhance supply chain performance (SCP). Recent advancements in technology, particularly supply chain analytics (SCA) technologies, offer promising avenues for mitigating risks associated with SC disruptions like those posed by the COVID-19 pandemic. However, the existing literature lacks a comprehensive analysis of the connection between SCA and healthcare SC (HSC) performance. To address this research gap, we employed the dynamic capability perspective to investigate the mediating roles of supply chain innovation (SCI), resilience (SCR) and flexibility (SCF) in the relationship between SCA and HSC performance. The study further examined the moderating role of a data-driven culture (DDC).Design/methodology/approach The proposed model was tested using survey data from 374 managers of healthcare facilities in Ghana. SPSS and Amos were used to analyze the data gathered.Findings The results showed that while SCA may drive HSC performance, the presence of SCI, SCR and SCF may serve as channels to drive enhanced HSC performance. Additionally, we also found that different levels of a DDC induce varying effects of SCA on SCI, SCR and SCF.Research limitations/implications The study’s results have theoretical and practical implications, offering valuable insights for the advancement of SCA in healthcare literature. They also deepen SC managers’ comprehension of how and when SCA can boost HSC performance. However, as the study was limited to healthcare facilities in Ghana, its findings may not be universally applicable.Originality/value This study contributes to the literature by demonstrating that SCI, SCR, SCF and a DDC could serve as transformative mechanisms to reap superior HSC outcomes. This study also offers contemporary guidance to managers regarding SCA investment decisions.

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Potential effects of smart innovative solutions for supply chain performance

Cited by 5 publications

References 33 publications

Reviewing the use of big data in supply chain optimization in the USA

Reviewing the use of big data in supply chain optimization in the USA

An Ordinary Least Squares Approach Measuring the Impact of Factors Affecting the Underground Economy of Bangladesh and Their Implications in the Context of the Country’s Supply Chain

Unraveling the interplay between supply chain analytics and healthcare supply chain performance: establishing an underlying mechanism and a boundary condition

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