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Information Systems at TU Dortmund University
Panoramic view of the North Campus © Roland Baege​/​TU Dortmund
Research

Successful conference summer 2026: We are represented at DESRIST, ECIS and HHAI!

DESRIST, ECIS und HHAI 2026 Logo
Our chair presents current research results with a total of six accepted papers at DESRIST, ECIS, and HHAI

We are delighted to announce an extremely successful summer of conferences! In the coming months, our team will be presenting and discussing six new research papers at international conferences. Our publications this year cover DESRIST, ECIS, and HHAI.

Here is an overview of our upcoming presentations:

ECIS 2026 in Milan, Italy (June 15-17, 2026)
The European Conference on Information Systems (ECIS) is a renowned conference in the field of information systems and is rated “A” in the VHB Rating 2024. ECIS was last rated “A” in the CORE ranking in 2020.

  • Nebel, M., Speckmann, P., Ciftci, S.A., Janiesch, C. (2026). “Standing on the Shoulders of Paperclips: A Taxonomy of Human-centered AI Systems”.
    Human-centered AI systems are becoming increasingly important, but are often described inconsistently in research and practice. For systematic classification, we developed a taxonomy based on an analysis of IT artifacts from the literature that describes such systems along 10 dimensions with a total of 37 characteristics. The taxonomy addresses the tension between the expectation of an AI system's competence generated by its design and appearance and the capabilities that actually exist and structures central characteristics of human-centric AI systems such as autonomy, decision-making authority, personification or explainability.

 

DESRIST 2026 in Münster, Germany (June 8-10, 2026)
The International Conference on Design Science Research in Information Systems and Technology (DESRIST) is the central forum for design science research in information systems. We are proud to be represented with four contributions this year:

  • Speckmann, P., van der Staay, A., Markic, M., Kelch, Y., Nebel, M., Poeppelbuss, J., Janiesch, C. (2026). “'Do AI Yourself': Designing a Toolbox to Empower Small- and Medium-Sized Enterprises to Embrace AI-as-a-Service”.
    In this paper, we use a design science approach to develop and evaluate an interactive toolbox that supports small and medium-sized enterprises in independently identifying, evaluating and implementing AI-as-a-Service applications. The toolbox combines building blocks such as AI literacy, strategic assessment, archetypal use cases, business model development and regulatory classification to support companies in a reflective and value-adding AI adoption.
  • Dasmann, L., van der Staay, A., Janiesch, C. (2026). “Design Knowledge for Ethical Use of AI in Emergency Medical Dispatch Systems”.
    The paper examines the use of artificial intelligence in emergency medical dispatch systems and analyzes the associated ethical challenges in a safety-critical context. The focus is on the development of practical and scientifically sound guidelines for the responsible use of AI, particularly with regard to transparency, fairness and accountability. The aim is to enable the trustworthy integration of AI into the decision-making processes of emergency control centers.
  • Demircan, F., Nebel, M., Janiesch, C. (2026). “Design Principles for Ethical Automated Mental Workload Monitoring in the Industrial Internet of Things”.
    Automated mental workload monitoring systems in the Industrial Internet of Things raise numerous ethical issues. Using a design science approach, we developed design principles that translate key requirements such as privacy, transparency and human autonomy into concrete design mechanisms for such systems. The results show how organizations can use technology to support decision-making processes without compromising privacy, self-determination and the long-term well-being of employees.
  • Schulte, N., Jeyakumar, I.H.J., Kubach, M., Janiesch, C. (2026). “Beyond the Golden Record: Toward a Design Theory for Trustworthy Master Data Management with Self-Sovereign Identity”.
    The paper addresses the persistent challenge of unreliable master data in organizations, which is still often compensated by strategically risky dependencies on commercial data brokers. To this end, we have developed a design theory for trustworthy master data management based on self-sovereign identity, substantiated by a hermeneutic literature review and expert interviews. The theory is instantiated in a reference architecture for data spaces and provides a framework for reliable, sovereign and traceable master data management.

 

HHAI 2026 in Brussels, Belgium (June 06-10, 2026)
The International Conference on Hybrid Human-Artificial Intelligence (HHAI) is a young and innovative forum dedicated to the exploration of systems in which humans and AI work together seamlessly and synergistically.

  • Ciftci, S.A. (2026). “Designing Synthetic Work Relationships: An Exploratory Study of Agentic AI Roles, Cognitive Load, and Psychological Need Satisfaction”.
    The increasing integration of AI agents into complex knowledge work is fundamentally changing traditional collaboration structures and bringing the psychological impact on employees into focus. A business process modeling study is used to analyze how different roles of these AI agents, from collaborating assistants to instructing supervisors, influence cognitive load and the fulfillment of basic psychological needs such as human autonomy. The results reveal the trade-offs of this new work dynamic and provide practical implications for the design of future human-AI partnerships to better balance technological performance and employee well-being.
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