Aims and scope
Enterprise Information Systems (EIS) is a world-leading journal focusing on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.

Specific topics of interest include, but are not limited to:

EIS design, applications, implementation, and impact in industrial sectors including manufacturing, service, healthcare, environment, energy and government
EIS and e-logistics, global e-supply chain management, supplier relationship management (SRM), and customer relationship management (CRM)
Enterprise Resource Planning (ERP)
Business intelligence, business process and workflow modelling, analysis, integration, monitoring, and management
Enterprise modelling and simulation, integration, and enterprise engineering
Enterprise computing concepts for Internet of Things (IoT), RFID, electronic and mobile commerce, e-finance, e-payment, telecommunications, automotive, aerospace, command and control, defence, healthcare, and government
Inter-enterprise collaboration and virtual enterprises
Enterprise architecture design and modelling, cloud computing and Big Data Analytics (BDA), Model-Driven Architecture (MDA), component-oriented architecture, Service-Oriented Architecture (SOA), collaborative development, and co-operative engineering
Integration of (legacy) enterprise applications and information, integrated systems, e-factories, integrated manufacturing systems, and industrial informatics
Evolution, Innovation and management of enterprise computing systems
Realization technologies for enterprise computing, including ontologies and semantic web support, middleware standards and systems, such as CORBA and J2EE, modelling and description languages, such as XML, RDF, OWL, and UML
Enterprise computing tools and methodologies.
Principles of data, information and knowledge management models in EIS
Trust, security and privacy issues in enterprise computing
Quality assurance and maintenance issues in enterprise computing
Systems research, systems engineering and IoT strategies for enterprises