Singleview
Tue, 16. Jul 2013 Cleve, Nicolai
Paper on Process Benchmarking successfully published in Benchmarking: An International Journal
We are happy to announce that the paper “Semantic Process Benchmarking to Improve Process Performance” by Prof. Dr. Frank Teuteberg, Martin Kluth, Prof. Dr. Frederik Ahlemann, and Prof. Dr. Stefan Smolnik was successfully released in Benchmarking: An International Journal Volume 20 Issue 4. Abstract: The purpose of this paper is to illustrate and evaluate the semantic process benchmarking concept. The authors' methodological approach includes the use of metamodels and ontologies, which make the process models syntactically and semantically comparable. Furthermore, a software prototype is presented to analyze and compare individual process models and their performance information. Thereafter, the technical, conceptual, and economic perspectives of the approach's evaluation are aligned with their respective outcomes. The evaluation proves that this approach is generally suitable to generate novel and useful information on different process models and their performance within the same problem domain. However, the initial set-up costs are high and will only pay off once process models are used regularly. The developed SEMAT prototype, that demonstrates and proves the proposed approach's general viability, supports cost-effective ontology engineering and annotation in the context of semantic process benchmarking initiatives.
Latest News:
Information and Kick-off Event for Personal Productivity 1 – October 9, 202518.09.25
Excellent Evaluation for the Course “Personal Productivity 1” in Summer Semester 202518.09.25
New Paper Published in Digital Business: “Mapping the digital landscape: A bibliometric analysis of digital ecosystem research”11.09.25
- Teaching Multi-Level Modeling: Presentation at MULTI Workshop28.08.25
- Presentation and Demonstration of XModelerML v3 at MoDELS 202528.08.25
- Model Deepening through ChatGPT: Presentation at ER '2528.08.25
- Boosting the Power of Modeling: Tutorial at Models'25 28.08.25