Semantic Scholar Open Access 2019 383 sitasi

Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management

Abderahman Rejeb John G. Keogh Horst Treiblmaier

Abstrak

Modern supply chains have evolved into highly complex value networks and turned into a vital source of competitive advantage. However, it has become increasingly challenging to verify the source of raw materials and maintain visibility of products and merchandise while they are moving through the value chain network. The application of the Internet of Things (IoT) can help companies to observe, track, and monitor products, activities, and processes within their respective value chain networks. Other applications of IoT include product monitoring to optimize operations in warehousing‚ manufacturing, and transportation. In combination with IoT, Blockchain technology can enable a broad range of different application scenarios to enhance value chain transparency and to increase B2B trust. When combined, IoT and Blockchain technology have the potential to increase the effectiveness and efficiency of modern supply chains. The contribution of this paper is twofold. First, we illustrate how the deployment of Blockchain technology in combination with IoT infrastructure can streamline and benefit modern supply chains and enhance value chain networks. Second, we derive six research propositions outlining how Blockchain technology can impact key features of the IoT (i.e., scalability, security, immutability and auditing, information flows, traceability and interoperability, quality) and thus lay the foundation for future research projects.

Topik & Kata Kunci

Penulis (3)

A

Abderahman Rejeb

J

John G. Keogh

H

Horst Treiblmaier

Format Sitasi

Rejeb, A., Keogh, J.G., Treiblmaier, H. (2019). Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management. https://doi.org/10.3390/FI11070161

Akses Cepat

Lihat di Sumber doi.org/10.3390/FI11070161
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
383×
Sumber Database
Semantic Scholar
DOI
10.3390/FI11070161
Akses
Open Access ✓