The use of big data has garnered increasing importance in academic research and
managerial practice thanks to the benefits it can produce in terms of innovation. However …

Data science and big data analytics (DS &BDA) methodologies and tools are used
extensively in supply chains and logistics (SC &L). However, the existing insights are …

We theorize a notion of a digital supply chain (SC) twin–a computerized model that
represents network states for any given moment in real time. We explore the conditions …

The emergence of smart technologies (STs) is inducing significant transformation in logistics
and transport nowadays. STs refer to the applications of artificial intelligence and data …

Big data analytics (BDA) in supply chain management (SCM) is receiving a growing
attention. This is due to the fact that BDA has a wide range of applications in SCM, including …

This paper presents current academic and industrial frontiers on blockchain application in
supply chain, logistics and transport management. We conduct a systematic review of the …

Enterprises are confronted with new customer requirements and challenged by global
competition leading to fundamental changes of today's industry. Against this background, at …

Industry 4.0 is a ubiquitous term throughout general newspapers, on company websites or in
scientific journals. One of its key constructs is the smart factory, envisioned as a future state …

Industry 4.0 makes the business processes more autonomous, automated, and intelligent.
Supply chain map** can be a step**stone to adopt the developments of Industry 4.0 …

Smart logistics is an effective way to meet the challenges of fast-changing customer
expectations, take opportunities brought by new technologies, and facilitate new business …