Departmental Editorial Statements

Business Process Management (BPM)

The department focuses on models of business processes and collaboration in and across organizations and their underlying information systems. Topics include, but are not limited to modeling methods and techniques, models for specific business domains such as manufacturing, retail, banking and public administration, reference models, change management, compliance management, workflow automation, and distributed transaction management.

Decision Analytics and Data Science

The department focuses on quantitative methods, including statistical and mathematical modeling, econometrics, data mining, optimization and other algorithmic approaches to support management decision making. Topics include, but are not limited to business analytics, computational logistics, network management, scheduling, revenue management, and recommender systems.

Economics of Information Systems

The department deals with the economic impact of IT on business and society. Topics include, but are not limited to economic models of the digital economy, electronic market design, digital goods, social networks, and social media. We are also interested in studies explaining the behavior of users or customers, as well as articles aimed at understanding business models, IT and industry transformation.

Enterprise Modeling and Enterprise IS

The department welcomes articles on the as-is and to-be modeling as well as the model/method based development and evolution of enterprise-wide IS from a conceptual /business perspective. In this department also domain specific enterprise IS (e.g. for banking, utilities, healthcare) are analyzed. Topics include, but are not limited to advances in collaboration technologies, enterprise architecture management, human computer interaction, reference modeling, or transformation management.

Information Systems Engineering and Technology (IS Engineering)

The department deals with data and software engineering methods relevant to information systems in business. Topics include, but are not limited to data engineering, the management of large data sets (big data technologies), distributed and parallel systems, security and privacy, as well as quality of service of enterprise information systems.

IS Foundations and Research Methods

The department publishes papers on IS foundations and research methods, which are designed to provide a critical evaluation and roadmap of future research on important phenomena in the field. Such papers can either describe an emerging area of research, or describe new methods or views on the philosophy of science relevant to the field.

Management and Use of Information and Knowledge

The department focuses on the management of information systems and technology in organizations. Papers cover topics on, but are not limited to IS strategy, business IT alignment, the organization of the IS function like, (de-)centralization, governance, IT service management and operations, as well as sourcing issues, IT controlling, IT risk management, the management and use of information and knowledge, the diffusion and adoption of IS, and the impact of IT on the organization.