This paper presents a thorough analysis of the evolving landscape of supply chain (SC)
collaboration research using a Systematic Literature Network Analysis (SLNA) approach …

Pattern acknowledgment can be considered as a cycle of characterization in which the point
is to remove designs from an information set and order them into various classes. Pattern …

Digital platforms (DPs) represent a challenging research object with a considerable number
of academic publications. Due to the high relevance of DPs in science and practice, the aim …

A fundamental challenge for supply chain managers is how to compete effectively by
coordinating and integrating business activities in the face of globally dispersed operations …

Graph Neural Networks (GNNs) have gained traction across different domains such as
transportation, bio-informatics, language processing, and computer vision. However, there is …

Supply chain management (SCM) poses significant challenges in optimizing operations and
enhancing efficiency. While previous research has explored the application of machine …

Smartness journey involves increasing knowledge availability and maturity in technological,
organizational, managerial, and human dimensions for the transformation of an enterprise …

This paper presents a strategic reference model for data-driven supply chain collaboration
(SCC) designed based on the principles of design science research and the process model …

As the amount of scientific literature continues to grow, it becomes increasingly difficult for
scientists to stay up to date within their own domains. Text mining has been suggested as a …

Due to its transformative potential, artificial intelligence is considered to be of growing
importance for supply networks. As supply chain management faces a multitude of …