Automation of Customer Initiated Back Office Processes: A Design Science Research Approach to link Robotic Process Automation and Chatbots. - Christian Daase; Daniel Staegemann; Matthias Volk 002; Abdulrahman Nahhas; Klaus Turowski (ACIS, 2020)

Discussing Relations Between Dynamic Business Environments and Big Data Analytics. - Daniel Staegemann; Matthias Volk 002; Christian Daase; Klaus Turowski (Complex Syst. Informatics Model. Q., 2020)

A Concept for the Use of Chatbots to Provide the Public with Vital Information in Crisis Situations. - Daniel Staegemann; Matthias Volk 002; Christian Daase; Matthias Pohl; Klaus Turowski (ICICT (2), 2021)

A Holistic View of Adaptive Supply Chain in Retailing Industry. - Christian Haertel; Abdulrahman Nahhas; Christian Daase; Matthias Volk 002; Klaus Turowski (AMCIS, 2022)

Following the Digital Thread - A Cloud-Based Observation. - Christian Daase; Christian Haertel; Abdulrahman Nahhas; Matthias Volk 002; Heiko Steigerwald; Achim Ramesohl; Bernd Schneider; Alexander Zeier; Klaus Turowski (ISM, 2022)

On the Integration of Google Cloud and SAP HANA for Adaptive Supply Chain in Retailing. - Abdulrahman Nahhas; Christian Haertel; Christian Daase; Matthias Volk 002; Achim Ramesohl; Heiko Steigerwald; Alexander Zeier; Klaus Turowski (ISM, 2022)

A Literature Review on the Challenges of Applying Test-Driven Development in Software Engineering. - Daniel Staegemann; Matthias Volk 002; Maneendra Perera; Christian Haertel; Matthias Pohl; Christian Daase; Klaus Turowski (Complex Syst. Informatics Model. Q., 2022)

MLOps in Data Science Projects: A Review. - Christian Haertel; Daniel Staegemann; Christian Daase; Matthias Pohl; Abdulrahman Nahhas; Klaus Turowski (IEEE Big Data, 2023)

Conducting Design Science Research in Society 5.0 - Proposal of an Explainable Artificial Intelligence Research Methodology. - Christian Daase; Klaus Turowski (DESRIST, 2023)

The Correlation of ESG Ratings and Abnormal Returns: An Event Study Using Machine Learning. - Dominic Strube; Christian Daase (FEMIB, 2023)

Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators. - Christian Haertel; Christian Daase; Daniel Staegemann; Abdulrahman Nahhas; Matthias Pohl; Klaus Turowski (KMIS, 2023)

The Future of Commerce: Linking Modern Retailing Characteristics with Cloud Computing Capabilities. - Christian Daase; Matthias Volk 002; Daniel Staegemann; Klaus Turowski (ICEIS (2), 2023)

On the Transition from Traditional Retail to Cloud-Supported E-Commerce: A Design Science Project. - Christian Daase; Matthias Volk 002; Daniel Staegemann; Klaus Turowski (ICEIS (Revised Selected Papers 2), 2023)

Sustainability in Robotic Process Automation: Proposing a Universal Implementation Model. - Christian Daase; Anuraag Pandey; Daniel Staegemann; Klaus Turowski (ICINCO (1), 2023)

A Meta-Review on the Use of Artificial Intelligence in the Context of Electrical Power Grid Operators. - Daniel Staegemann; Christian Haertel; Christian Daase; Matthias Pohl; Klaus Turowski (ICINCO (1), 2023)

Towards the Creation of a Holistic Video Analytics Platform for Retail Environments. - Christian Daase; Daniel Staegemann; Anastasija Nikiforova; Victor Chang 001; Johannes Hintsch; Matthias Volk 002; Klaus Turowski (ICSBT, 2023)

Exploring the Test Driven Development of an Information Retrieval System. - Daniel Staegemann; Sujith Sudhakaran; Christian Daase; Klaus Turowski (ICSBT, 2023)

Contrasting the Necessary Skills of Leaders in Classical and Agile Software Development. - Daniel Staegemann; Natalie Schröder; Christian Daase; Christian Haertel; Matthias Pohl; Robert Häusler; Johannes Hintsch; Klaus Turowski (ISD, 2023)

An Overview of the Approaches for Generating Test Data in the Context of the Quality Assurance of Big Data Applications. - Daniel Staegemann; Matthias Pohl; Christian Haertel; Christian Daase; Mohammad Abdallah; Klaus Turowski (SITIS, 2023)

Creation of a Framework and a Corresponding Tool Enabling the Test-Driven Development of Microservices. - Christian Daase; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (J. Softw., 2023)

Toward Improved Knowledge Retention: A Template for Describing Data Science Projects. - Christian Haertel; Daniel Staegemann; Matthias Pohl; Christian Daase; Klaus Turowski (IEEE Big Data, 2024)

Data Lakehouse for Time Series Data: A Systematic Literature Review. - Matthias Pohl; Nathira Dharindri Wijemanne; Daniel Staegemann; Christian Haertel; Christian Daase; Dirk Dreschel; Damanpreet Singh Walia; Arne Osterthun; Joshua Reibert; Klaus Turowski (IEEE Big Data, 2024)

Classifying Design Science Research in Terms of Types of Reasoning from an Epistemological Perspective. - Christian Daase; Christian Haertel; Abdulrahman Nahhas; Klaus Turowski (DESRIST, 2024)

The Recruiting Process as an Attractiveness Factor: How Do Companies Manage to Position Themselves Competitively as Employers? - Jennifer Schietzel-Kalkbrenner; Niklas Petelkau; Dominic Strube; Christian Daase (FEMIB, 2024)

Applications of Artificial Intelligence in Sustainability Assessment and Risk Management in European Banking. - Dominic Strube; Christian Daase; Jennifer Schietzel-Kalkbrenner (FEMIB, 2024)

On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges. - Christian Daase; Christian Haertel; Abdulrahman Nahhas; Alexander Zeier; Achim Ramesohl; Klaus Turowski (ICEIS (1), 2024)

Explainable Business Intelligence for Video Analytics in Retail. - Christian Daase; Christian Haertel; Klaus Turowski (ICEIS (1), 2024)

A Methodology for Constructing Patterns for the Management of Data Science Projects. - Christian Haertel; Sarah Schramm; Matthias Pohl; Sascha Bosse; Daniel Staegemann; Christian Daase; Klaus Turowski (ICEIS (1), 2024)

A Literature Survey on Pitfalls of Open-Source Dependency Management in Enterprise. - Andrey Kharitonov; Amro Abdalla; Abdulrahman Nahhas; Daniel Gunnar Staegemann; Christian Haertel; Christian Daase; Klaus Turowski (ICSOFT, 2024)

Overcoming the Complexity of Quality Assurance for Big Data Systems: An Examination of Testing Methods. - Christian Daase; Daniel Staegemann; Klaus Turowski (IoTBDS, 2024)

The Application of Data Science at Original Equipment Manufacturers: A Literature Review. - Christian Haertel; Vincent Donat; Daniel Staegemann; Christian Daase; Marco Finkendei; Klaus Turowski (IEEE Access, 2024)

Do ESG Ratings Drive Financial Performance? A Systematic Analysis of Trends and Challenges. - Amelie Heinelt; Dominic Strube; Christian Daase (FEMIB, 2025)

A Review on Large Language Models and Generative AI in Banking. - Daniel Staegemann; Christian Haertel; Christian Daase; Matthias Pohl; Mohammad Abdallah; Klaus Turowski (FEMIB, 2025)

Dynamization of Retail Pricing: From Traditional Price Determinants to Automation Based on Artificial Intelligence. - Christian Daase; Seles Selvan; Dominic Strube; Daniel Staegemann; Jennifer Schietzel-Kalkbrenner; Klaus Turowski (ICEIS (1), 2025)

Examining the Impact of Cloud Computing on Organizational Performance: A Systematic Literature Review. - Vincent Donat; Christian Haertel; Daniel Staegemann; Christian Daase; Matthias Pohl; Dirk Dreschel; Damanpreet Singh Walia; Klaus Turowski (ICEIS (1), 2025)