N. Kalbouneh, Khaled Bataineh, A. Al-Hamad, Mohammad Kamel Al Dwakat, S. Abualoush, M. Almasarweh, Raed Walid Al-Smadi
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The effects of the blockchain technology and big data analytics on supply chain performance: The mediating effect supply chain risk management
The purpose of this paper is to investigate potential links between Blockchain technology (BCT) and big data analytics (BDA) with supply chain risk management (SCRM) and supply chain performance (SCP) in the Jordanian Chemical and Cosmetic Industries Sector. Additionally, the paper tests a conceptual model that links SCRM to indirect effects. To test our proposition, data were collected from 364 employees working in Jordanian Chemical and Cosmetic Industries Sector. The data were analyzed using structural equation modeling with aid of the Lavaan R package. The results show that the influences of blockchain technology and big data analytics on supply chain performance do occur directly, and indirectly through the cascading of a supply chain risk management.
期刊介绍：
Supply chain management (SCM) plays an essential role in managing the movement of raw materials into an organization, certain issues of the internal processing of materials into finished goods, and the movement of finished products out of the organization for end-consumer delivery. The goal of SCM is to improve trust and collaboration among supply chain partners and to improve inventory visibility. However, many SCM problems deal with uncertain events such as uncertainty in demand, supply, quality, price, etc. This forum is dedicated to all scholars who wish to share their ideas about uncertainty in SCM problems. Uncertain supply chain management is a quarterly publication dedicated to all scientists in all over the world who wish to share their experiences and knowledge in this field. Our policy is to perform a peer review on all submitted articles and publishes original and high quality articles.
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