| Discussing relations between dynamic business environments and big data analytics D Staegemann, M Volk, C Daase, K Turowski Complex Systems Informatics and Modeling Quarterly, 58-82, 2020 | 26 | 2020 |
| A literature review on the challenges of applying test-driven development in software engineering D Staegemann, M Volk, M Perera, C Haertel, M Pohl, C Daase, ... Complex Systems Informatics and Modeling Quarterly, 18-28, 2022 | 9 | 2022 |
| Following the digital thread–A cloud-based observation C Daase, C Haertel, A Nahhas, M Volk, H Steigerwald, A Ramesohl, ... Procedia Computer Science 217, 1867-1876, 2023 | 8 | 2023 |
| Addressing the dichotomy of theory and practice in design science research methodologies C Daase, M Volk, D Staegemann, K Turowski 17th International Conference on Design Science Research in Information …, 2022 | 6 | 2022 |
| On the Integration of Google Cloud and SAP HANA for Adaptive Supply Chain in Retailing A Nahhas, C Haertel, C Daase, M Volk, A Ramesohl, H Steigerwald, ... Procedia Computer Science 217, 1857-1866, 2023 | 5 | 2023 |
| A concept for the use of chatbots to provide the public with vital information in crisis situations D Staegemann, M Volk, C Daase, M Pohl, K Turowski Proceedings of Sixth International Congress on Information and Communication …, 2022 | 5 | 2022 |
| Creation of a Framework and a Corresponding Tool Enabling the Test-Driven Development of Microservices C Daase, D Staegemann, M Volk, K Turowski | 4 | 2023 |
| Automation of customer initiated back office processes: a design science research approach to link robotic process automation and chatbots C Daase, D Staegemann, M Volk, A Nahhas, K Turowski | 3 | 2020 |
| Conducting Design Science Research in Society 5.0–Proposal of an Explainable Artificial Intelligence Research Methodology C Daase, K Turowski International Conference on Design Science Research in Information Systems …, 2023 | 2 | 2023 |
| The Future of Commerce: Linking Modern Retailing Characteristics with Cloud Computing Capabilities C Daase, M Volk, D Staegemann, K Turowski | 2 | 2023 |
| The Correlation of ESG Ratings and Abnormal Returns: An Event Study Using Machine Learning. D Strube, C Daase FEMIB, 76-81, 2023 | 2 | 2023 |
| A Holistic View of Adaptive Supply Chain in Retailing Industry. C Haertel, A Nahhas, C Daase, M Volk, K Turowski AMCIS, 2022 | 1 | 2022 |
| MLOps in Data Science Projects: A Review C Haertel, D Staegemann, C Daase, M Pohl, A Nahhas, K Turowski 2023 IEEE International Conference on Big Data (BigData), 2396-2404, 2023 | | 2023 |
| An Overview of the Approaches for Generating Test Data in the Context of the Quality Assurance of Big Data Applications D Staegemann, M Pohl, C Haertel, C Daase, M Abdallah, K Turowski 2023 17th International Conference on Signal-Image Technology & Internet …, 2023 | | 2023 |
| How To Test The Machine Learning Algorithms That Are Common in Big Data Applications D Staegemann, C Daase, K Turowski International Congress on Information and Communication Technology, 985-994, 2023 | | 2023 |
| Exploring the Test Driven Development of an Information Retrieval System D Staegemann, S Sudhakaran, C Daase, K Turowski | | 2023 |
| Sustainability in Robotic Process Automation: Proposing a Universal Implementation Model C Daase, A Pandey, D Staegemann, K Turowski | | 2023 |
| Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators C Haertel, C Daase, D Staegemann, A Nahhas, M Pohl, K Turowski | | 2023 |
| Full Paper: Contrasting the Necessary Skills of Leaders in Classical and Agile Software Development D Staegemann, N Schröder, C Daase, C Haertel, M Pohl, R Häusler, ... | | 2023 |
| Explainable Business Intelligence for Video Analytics in Retail C Daase, C Haertel, K Turowski | | |
