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Growing Science » Authors » Zaid Alziyadat

โญ Highly Cited Articles

  • Jaya Algorithm
  • Rao Algorithm
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  • ChatGPT and Blended Learning

Journals

  • IJIEC (804)
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๐Ÿ”‘ Keywords

Jordan(172)
Supply chain management(169)
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Service quality(101)
Competitive advantage(99)
SMEs(95)
Tehran Stock Exchange(94)
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optimization(88)
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Genetic Algorithm(80)
Knowledge Management(80)


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โœ๏ธ Authors

Naser Azad(82)
Zeplin Jiwa Husada Tarigan(69)
Mohammad Reza Iravani(65)
Endri Endri(45)
Hotlan Siagian(42)
Muhammad Alshurideh(42)
Dmaithan Almajali(39)
Jumadil Saputra(36)
Muhammad Turki Alshurideh(35)
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Sautma Ronni Basana(33)
Barween Al Kurdi(32)
Basrowi Basrowi(31)
Mohammad Khodaei Valahzaghard(30)
Haitham M. Alzoubi(30)
Ni Nyoman Kerti Yasa(30)
Hassan Ghodrati(30)
Shankar Chakraborty(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)


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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.

Exploring the effect of blockchain technology on supply chain resilience and transparency: Evidence from the healthcare industry Pages 787-798 PDF Download PDF

Authors: Zaid Alabaddi, Ahmad Obidat, Zaid Alziyadat

doi 10.5267/j.uscm.2023.1.001

๐Ÿ”‘ Keywords: Supply chain resilience, Supply chain transparency, Smart contracts, Traceability, 798 Data quality, Blockchain technology

Abstract:
Blockchain technology is revolutionizing all sectors of industries including the healthcare one. Blockchain technology applications have been realized in healthcare as they have the potential to revolutionize healthcare systems. Integrating blockchain into the design of supply chain design leads to decentralizing the management of the supply chain, and, in turn, improves workflow efficiency and reduces the various security threats. Therefore, this study aimed at examining the impact of integrating blockchain technology, into supply chain practices, on supply chain transparency and resilience. By adopting the organizational information processing theory, this study developed a research model that explored the impact of blockchain technology features including data quality, smart contracts, and traceability on supply chain resilience and transparency. Furthermore, this study examined the effect of supply chain transparency on supply chain resilience. The data was collected, from healthcare industry personnel, in Jordan, using an electronic survey. In total, 215 participants responded to the questionnaire. RStudio- 2022.07.1 was used to conduct the data analysis. Results revealed that data quality significantly and positively affects supply chain transparency and resilience. In addition to that, results indicated that while smart contracts are positively related to supply chain transparency, they do not affect supply chain resilience. Also, traceability was found to be positively related supply chain transparency and resilience. Finally, it was found that blockchain-driven supply chain transparency positively impacts blockchain-driven supply chain resilience. The results imply that integrating blockchain technology into the supply chain can enhance both supply chain transparency and resilience, and, in turn, provide the supply chain the capability of recovering to its original state should it encounter disruptive events. The outcomes of this study can help supply chain managers and other stakeholders to develop strategies and tactics to best utilize blockchain technology to enhance blockchain-driven supply chain transparency and resilience.
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Journal: USCM | Year: 2023 | Volume: 11 | Issue: 2 | Views: 3217

 
2.

Assessing the effect of business intelligence on supply chain agility. A perspective from the Jordanian manufacturing sector Pages 61-70 PDF Download PDF

Authors: Ahmad Obidat, Zaid Alziyadat, Zaid Alabaddi

doi 10.5267/j.uscm.2022.11.010

๐Ÿ”‘ Keywords: Supply chain agility, Business intelligence, Cultural competence, Technical competence, Managerial competence, Manufacturing sector

Abstract:
This study aimed to examine the effect of integrating Business Intelligence (BI) into the supply chain on supply chain agility, within the Jordanian manufacturing sector. Based on the resource-based view of the firm, this study developed and examined a research model, to achieve its goal. The impact of three dimensions of BI including managerial, technical, and cultural competencies was examined. Using an electronic questionnaire, data was gathered from 462 administrative personnel and employees. Structural equation modeling techniques were employed to analyze the data. Results revealed that the three dimensions of BI have statistically significant positive direct effects on supply chain agility. In addition to that, the results revealed that BI cultural competence has statistically significant positive direct effects on BI technical and managerial competencies. This study contributes to the literature on the role of BI in promoting supply chain agility, from the perspective of a developing country. The findings of this study are expected to help organizations' administrations in making better decisions regarding employing BI to achieve an agile supply chain.
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Journal: USCM | Year: 2023 | Volume: 11 | Issue: 1 | Views: 2296

 

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