IT Operation Management - A possibility in the flux of digitization. - Naoum Jamous; Christian Haertel; Marco Finkendei; Matthias Volk 002; Johannes Hintsch (AMCIS, 2018)

Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models. - Christian Haertel; Matthias Pohl; Sascha Bosse; Robert Häusler; Abdulrahman Nahhas; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (FEMIB, 2020)

Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures. - Christian Haertel; Matthias Pohl; Sascha Bosse; Robert Häusler; Abdulrahman Nahhas; Daniel Staegemann; Matthias Volk 002; Klaus Turowski (Int. J. Organ. Collect. Intell., 2021)

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

Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview. - Christian Haertel; Matthias Pohl; Daniel Staegemann; Klaus Turowski (IEEE Big Data, 2022)

Facilitating the Decentralisation of Software Development Projects from a Project Management Perspective: A Literature Review. - Sven Timmermann; Daniel Staegemann; Matthias Volk 002; Matthias Pohl; Christian Haertel; Johannes Hintsch; Klaus Turowski (FEMIB, 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)

Toward A Lifecycle for Data Science: A Literature Review of Data Science Process Models. - Christian Haertel; Matthias Pohl; Abdulrahman Nahhas; Daniel Staegemann; Klaus Turowski (PACIS, 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)

The Linkage to Business Goals in Data Science Projects. - Matthias Pohl; Christian Haertel; Daniel Staegemann; Klaus Turowski (ACIS, 2023)

A Survey of Technology Selection Approaches in Data Science Projects. - Christian Haertel; Matthias Pohl; Abdulrahman Nahhas; Daniel Staegemann; Klaus Turowski (AMCIS, 2023)

Data Valuation Methods - A Literature Review. - Matthias Pohl; Christian Haertel; Daniel Staegemann; Klaus Turowski (AMCIS, 2023)

Achieving Competitive Advantages Through Situation-Aware Big Data Engineering - When (Not) to Use Test Driven Development. - Daniel Staegemann; Matthias Volk 002; Matthias Pohl; Christian Haertel; Naoum Jamous; Klaus Turowski (AMCIS, 2023)

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

Value Creation from Data Science Applications - A Literature Review. - Matthias Pohl; Christian Haertel; Klaus Turowski (BIR, 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)

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)

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)

Impact of Big Data Analytics on Business Performance: A systematic Literature Review. - Pouya Ataei; Sri Regula; Christian Haertel; Daniel Staegemann (AMCIS, 2024)

Challenges in Data Science Project Management: A Case Study in a European OEM. - Christian Haertel; Vincent Donat; Daniel Staegemann; Matthias Pohl; Klaus Turowski (AMCIS, 2024)

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)

Categorization of Data Analytics Projects in Smart Manufacturing. - Matthias Pohl; Christian Haertel; Daniel Staegemann; 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)

Customer Identity Management in Health Insurance with Blockchain Technology: A Literature Review. - Matthias Pohl; Hannah Giegold; Christian Haertel; Daniel Staegemann; Klaus Turowski (BIOSTEC (2), 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)

Imitation Learning Based on Deep Reinforcement Learning for Solving Scheduling Problems. - Abdulrahman Nahhas; Andrey Kharitonov; Christian Haertel; Klaus Turowski (HICSS, 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)

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)

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)

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)