Guest editorial: Data-driven quality management systems for improving supply chain management performance

New concepts like cloud manufacturing have emerged that rely on data collection in cloud-based and cyber-physical systems (Mashhadi et al., 2018). [...]data driven decision making is gaining importance among supply chain (SC) practitioners (Bag et al., 2020). [...]SC management researchers were invited to examine how data-driven quality management (DDQM) systems enhance SC management performance. [...]we accepted 13 papers that we believe contribute to quality management and SC management literature using a data-driven systems angle. The 10th paper, “Evaluation of machine tool substitute under data-driven quality management system: a hybrid decision-making approach”, evaluates quality attributes of mechanical machineries for seizing performance opportunities and maintaining competitiveness via synchronizing and reconfiguring firm's resources under a quality management system.