Industrial Management & Data Systems (IM&DS)

The interdisciplinary journal, Industrial Management & Data Systems brings operations management and information systems research together. Focusing on the impact of new technology within businesses it covers; green information systems, sustainable supply chains, big data and social media. Industrial Management & Data Systems (IMDS) focuses on topics treating the interface between operations management and information systems. IMDS is interdisciplinary in nature and serves researchers and practitioners the necessary information to enable them to explore and apply the potential of new technologies to all aspects of management activities such as marketing, management information systems, operations management, business strategy, innovation, organization behaviour, business process management and supply chain management. The major aims of IMDS are: To provide cross-disciplinary research in the areas of operations management and information systems. To study different ranges of information systems development and usage in businesses. Promotes awareness of new technology and related concepts and their implications in business. Disseminate knowledge for improving operations management practice and to improve the theoretical base necessary for supporting sound management decisions. The scope of IMDS covers all aspects of areas that integrate both operations management and information systems research. Topics include, but are not limited to: Big Data research Data analytics E-business Production planning and scheduling Logistics and supply chain management New technology acceptance and diffusion Marketing of new industrial products and processes Sustainable supply chain management Green information systems IS strategies Knowledge management Innovation management Performance measurement Social media in businesses

Industrial Management & Data Systems (IM&DS) is :-

• International, Peer-Reviewed, Open Access, Refereed, Operations Management, Information Systems, Supply Chain Management, Business Strategy, Innovation Management, Data Analytics, Green Information Systems , Online or Print , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0263-5577, E-ISSN: 1758-5783, Established: 1980,
• Provides Crossref DOI

• Indexed in: Scopus, WoS

• Not indexed in DOAJ, PubMed, UGC CARE