Industrial Management & Data Systems

Industrial Management & Data Systems (IMDS), with the abbreviated title IND MANAGE DATA SYST and ISSN 0263-5577, is a leading international peer-reviewed journal dedicated to advancing the integration of management science, industrial engineering, and information systems. Its scope encompasses the strategic and operational use of data-driven technologies, including artificial intelligence, big data analytics, the Internet of Things, and digital transformation, within industrial and organizational contexts. The journal publishes a range of article types, predominantly original research articles and comprehensive review papers, all of which undergo rigorous single-blind peer review to ensure methodological soundness and theoretical contribution. The target audience comprises academics, researchers, and senior practitioners in operations management, information management, supply chain management, and industrial engineering who seek cutting-edge insights into how data systems enhance decision-making and organizational performance. Notable features include its publication by Emerald Publishing, a respected academic publisher specializing in business and management research. While not an open access journal by default, IMDS offers authors the option to publish their work as open access under a hybrid model. As of 2026, the journal holds an impressive Impact Factor of 6.100 and is ranked in the JCR Quartile 1 (Q1), placing it among the top-tier journals in its field. This standing reflects its significant academic influence and its reputation as a premier outlet for high-impact research at the intersection of industrial management and data systems.