Supply chain management and Industry 4.0: conducting research in the digital age Introduction In essence, Industry 4.0[1] enables an automated creation of goods and services as well as supply and delivery, which functions largely without human intervention. Industry 4.0 is happening now (Vogel-Heuser and Hess, 2016, Sprovieri, 2019) and describes the trend toward automation and data exchange in manufacturing technologies and processes which include among others cyber-physical systems (CPS), industrial Internet of Things (IIoT), cloud computing, cognitive computing and artificial intelligence (AI). Decision making is predominantly decentralized, and system elements (e.g. production plants or transport vehicles) make autonomous, targeted decisions. A digital manufacturing enterprise is not only interconnected, but also communicates, analyzes and uses information to further drive intelligent actions back into the physical world. Industry 4.0 will change how supply chains are designed and operated, yet research on promises and impacts of Industry 4.0 on supply chain management (SCM) is still scarce (Holmström and Partanen, 2014; Hofmann and Rüsch, 2017). We refer to SCM in the new era of Industry 4.0 as "SCM 4.0." In SCM 4.0, the digital and autonomous linkages within and between companies become a focal point of SCM (Stölzle et al., 2017). SCM 4.0 represents a new stage of development in SCM, in which the coordination of materials, information and financial flows in corporate networks is largely automated and permeated with digital technologies. This Special Issue is thus dedicated to exploring the abundant research opportunities associated with SCM 4.0 and laying down a foundation for future research on this important emerging topic. The idea is to fill gaps in the existing supply chain theory and explore the areas that are likely to be impacted by the combination of knowledge, traditional and emerging technologies. SCM 4.0 will over time manifest substantially different from conventional SCM.