Purpose: Innovative technologies are forcing companies to incorporate digitization more into their value creation processes in order to remain competitive long-term. A transformation to a digital organization is therefore required. Aim of the paper is to identify which key components should be...

Purpose: Especially in supply chain management (SCM), data has become essential to the success of companies. Traditional analytical methods are being augmented by machine learning (ML), which is considered the foremost relevant branch of artificial intelligence. This article maps various ML...

The main objective of the paper is to analyze and synthesize existing scientific literature related to supply chain areas where machine learning (ML) has already been implemented within the supply chain risk management (SCRM) field, both in theory and in practice. Furthermore, we analyzed which...

Purpose: This analysis aims to develop a conceptual framework for the adoption of blockchain-based solutions in maritime logistics. Using the application area of maritime cold chains, we examine which characteristics are crucial for the use of blockchain and which requirements need to be met for...

Purpose: The aim of the paper is to develop a concept for implementing supply chain risk management (SCRM) in crisis situations based on recommendations for action. Methodology: The paper utilizes a mixed-method approach based on a systematic literature review and an interview study to analyze...