Purpose: Due to the large number of intermediaries in logistics networks there is avariety of possible failures, frictions and waste of time and money among the logisticsprocess chain. With the ability to provide data securely in near real-time, liketrack and tracing data of goods to every...

Purpose: The purpose of this paper is to discuss and analyze the introduction of a guideline, which aims to help prevent mental strain for logistics workers in an increasingly digitalized work environment. The guideline originates from the findings of computer science experimental rooms (IR) and...

Purpose: Digital Twins attract much attention in science and practice, because of their capability to integrate operational data from a wide variety of sources. Thus, providing a complete overview of an asset throughout its entire life cycle. This article develops and demonstrates a Digital...

Purpose: The aerospace supply chain is characterized by a high degree of small andmedium-sized suppliers. To stay competitive, suppliers are facing high pressures todigitalize their business but have limited resources available. Furthermore, aerospacesuppliers lack a framework to measure their...

Purpose: While e-commerce in general has been growing rapidly for years, food e-commerce is lagging behind in Germany. The common approach of using traditional logistics systems and fulfilment concepts does not lead to long-term success. Con-sidering this problem, success factors are needed as a...

Purpose: Digital platforms provide logistics service providers (LSPs) the opportunity to increase their capacity utilization. Since there are a large number of reasonable alternatives, LSPs should be able to systematically assess different platforms. How-ever, there is little knowledge on...

Purpose: Digitalization and its technologies enables especially logistics startups to enter the market with low barriers. Well-established enterprises potentially suffer from this development by overlooking the ongoing technological leap. Therefore, the paper includes a research to point out...

The COVID-19 pandemic holds at least seven lessons for the relationship between data-driven decision making, the use of artificial intelligence, and development. These are that (1) in a global crisis, the shifting value of data creates policy pitfalls; (2) predictions of crises and how they play...

Artificial Intelligence (AI) is often regarded as the next general-purpose technology with a rapid, penetrating, and far-reaching use over a broad number of industrial sectors. A main feature of new general-purpose technology is to enable new ways of production that may increase productivity. So...

Feminist theories have extensively debated consent in sexual and political contexts. But what does it mean to consent when we are talking about our data bodies feeding artificial intelligence (AI) systems? This article builds a feminist and anti-colonial critique about how an individualistic...