Business Process Management (BPM)

The department focuses on concepts, models and techniques as well as managerial aspects of business process management in and across organizations, as well as the design and management of the underlying information systems. The department is specifically interested in contributions that take the socio-technical context into account in which a new or improved artefact is used in. Exclusively algorithmic or technological contributions are out of scope. The department does welcome all levels of analysis for the socio-technical component of the contribution – individuals, teams, entire organizations, or wider ecosystems. Authors are encouraged to employ empirical methods for this part of the argumentation.

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.

Digital Business Management and Digital Leadership

The department focuses on how organizations can successfully manage and lead the process of digitization and digital transformation. This includes digital leadership aspects such as strategic planning, governing, organizing, controlling, and orchestrating of IT-intense processes and services. Key topics are digital business strategies, digital entrepreneurship, IT alignment, IT project management, IT usage and digital value creation, compliance and risk mitigation, knowledge and services management, as well as sourcing topics including outsourcing, platform economies, crowdsourcing, cloud services, and virtual collaboration on (inter-)organizational level. The department appreciates research on new forms of organizing, value creation, and types of digital enterprises. We welcome a variety of methods including quantitative, qualitative, experimental, action, and design-oriented research.

Economic and Societal Impact of Information Systems

Our department explores how emerging digital technologies, innovations, and business models reshape our markets and society.

In the area of economic impact, we welcome research that examines how digitization transforms market structures and economic interactions in an increasingly data-driven world. Key topics in this domain include but are not limited to customer behavior in digital environments, the economics of user-generated content, as well as the design and economics of digital market, digital platforms and data spaces.

From the societal perspective, we encourage research on how digitization affects society and how digital technologies can help address societal challenges. Relevant topics include but are not limited to ethical concerns in AI including algorithmic biases, disinformation, trust, and digital literacy, the role of social media in shaping behavior, communication, and public opinion, as well as the sustainability and environmental impact of digital technologies.

Recognizing the interconnectedness of economic and societal dimensions, we particularly value research that bridges these perspectives or contributes to policy debates surrounding digital markets and societal transformation. We invite submissions employing diverse methodological approaches that advance understanding of these critical challenges.

Enterprise Modeling and Enterprise Engineering

The department welcomes articles on enterprise modeling and enterprise engineering, from a conceptual or business perspective. In this department also domain-specific information systems (e.g. for banking, government, healthcare, manufacturing) are analyzed. Topics include, but are not limited to, the modeling and engineering of digital twins, artificial intelligence applications, enterprise architecture management, reference modeling, sustainability concerns, and industry 4.0 scenarios.

Human-Centered Information Systems

The department focuses on pioneering research in the design, implementation, and evaluation of sociotechnical systems that prioritize the human experience in collaborative settings – be it in teams, communities, or organizations. We aim to bridge the gap between innovative technologies and work practices, ensuring future work environments are not only efficient and inclusive but also intuitively aligned with human cognitive and emotional needs. We encourage research that explores how user-centered design can empower participants by making advanced technologies more accessible and engaging. Key topics include algorithmic management (the impact of algorithm-driven decision-making on user experience and workplace dynamics), human-AI collaboration (enhancing synergies between humans and artificial intelligence), and the Metaverse (exploring the integration of virtual and augmented realities in creating immersive work environments).

Information Systems Engineering and Technology (IS Engineering)

The department focuses on engineering methods for all life-cycle phases of information systems, considering their socio-technical nature. Topics include but are not limited to requirements engineering, conceptual modeling, ontologies, database design, management and analysis of large datasets, software engineering methods for information systems, model-based software development, security and privacy, quality assessment and considerations of the organizational context of information systems.