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Department of Computer Science
Research

We'll present at the ECIS 2025!

© Eurpoean Conference on Information Systems 2025
Two full papers from the Chair of Enterprise Computing have been accepted at ECIS 2025

The European Conference on Information Systems and Technology (ECIS) is a renowned information systems conference rated "A" in the VHB 2024 Rating. It was last ranked A in the CORE ranking in 2020. ECIS 2025 will take place from 12.06.25 to 18.06.25 in Amman, Jordan. Seyyid Ahmed Ciftci and Alexander van der Staay will each present their papers:

Ciftci, S.A., Stahmann, P., Janiesch, C. (2025). "Hybrid Intelligence in Action: A Taxonomy of Human-AI Interaction".

This paper deals with the concept of Hybrid Intelligence (HI), in which human and AI capabilities are combined to achieve an increase in performance compared to isolated agents. The focus is particularly on a systematic approach to designing the interaction between humans and AI, as HI systems are characterized by high complexity and diverse application potentials. Based on a systematic literature analysis and with the help of a structured taxonomy development, a total of 17 dimensions with 84 characteristics are identified that describe essential aspects of human-AI collaboration. These include characteristics of the agents involved as well as their forms of interaction and the respective context of use. The taxonomy presented serves as a basis for systematically evaluating existing AI systems and designing future collaboration models in a targeted manner so that the potential for joint value creation between humans and AI can be optimally realized.

van der Staay, A., Markic, M., Stahmann, P., Knickrehm, C., Pöppelbuß, J., Janiesch, C. (2025). "AI-as-a-Service Mediation: How Ordinary Companies Become AIaaS-powered Service Providers".

This paper shows how the rise of Artificial-Intelligence-as-a-Service (AIaaS) enables companies to utilize and integrate scalable AI capabilities into their services. This study analyzes the emerging role of enterprises as AIaaS mediators that adapt basic AI services to offer AI-powered service solutions. Through a taxonomy development approach and using the conceptualization of service modularity, we identify 13 dimensions and 56 characteristics that define the mediator role and include technical, organizational and service-oriented aspects. The developed taxonomy provides organizations with a decision space to strategically design, configure and differentiate their AIaaS-enabled service solutions. It supports practitioners to develop effective AIaaS mediation strategies and provides researchers with a structured framework to investigate the socio-technical interplay between the use of AI capabilities and the creation of new AI-based services.

The articles will be published in the conference proceedings. We look forward to presenting our research and engaging with the global information systems community at ECIS!