Our research group presented two papers at the 15th International Conference on ENTERprise Information Systems in Porto, Portugal.

CENTERIS - Conference on ENTERprise Information Systems

CENTERIS is the place where academics, scientists, practitioners, managers and solution providers from all over the world have the opportunity to share experiences and best practices, bring new ideas, debate issues, and introduce the latest developments in Enterprise IT/IS.

Paper Abstracts

Sensing The Unseen –- Using Co2 As A Key Indicator For Occupancy Detection In Smart Collaboration Spaces

Authors: Mevludin Blazevic, Arnold F. Arz von Straussenburg & Dennis M. Riehle

Enterprise Information Systems (EIS) comprise components for decision-making in an organization. While traditional Decision Support Systems (DSS) rely on sophistically designed decision models, this approach has its limitations when it comes to making decisions based on large amounts of unstructured data. In this paper, we present the case of online community management, where moderators need to decide if user content (i.e., comments) can be published. We have implemented a moderation platform that utilizes Natural Language Processing (NLP) and Machine Learning (ML) to support moderators in their decision-making. From the development process and adoption of our platform, which were carried out as a Design Science Research (DSR) project, we have derived six design principles that assist in designing ML-based DSS. Our results imply that an ML-based DSS should be implemented using an open, customizable system, where decisions are made transparent and interpretable to users. Users need special onboarding and should always have the possibility to overrule the system.

Adopting Artificial Intelligence In A Decision Support System –- Learnings From Comment Moderation Systems

Authors: Dennis M. Riehle, Anna Wolters & Kilian Müller

The Internet of Things (IoT) has received significant attention recently due to its potential to build more innovative solutions to real-world problems. This study examines how IoT sensors can be integrated with Enterprise Information Systems (EIS) to measure the utilization of enclosed workspaces to create Smart Collaboration Spaces (SCS). These spaces are enriched by real-time data on occupancy and air quality measurements to optimize work and study conditions. Using Carbon Dioxide (CO2) sensors and passive infrared (PIR) sensors makes it possible to detect human presence in the room with an accuracy of over 90%. The generated data is processed and visualized in a workspace occupancy information system, accessible via a web interface. The findings suggest that SCS, through integration into EIS, can significantly improve resource utilization and enhance employee experience in organizations by saving time spent searching for an available workspace. Integrating IoT technologies with EIS holds considerable potential for developing smarter and more efficient work organization solutions in the future.