Christian Haertel

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Imitation Learning

Top Venues

Publications

Pouya Ataei, Sri Regula, Christian Haertel, Daniel Staegemann
Impact of Big Data Analytics on Business Performance: A systematic Literature Review. AMCIS (2024)
Christian Haertel, Vincent Donat, Daniel Staegemann, Matthias Pohl, Klaus Turowski
Challenges in Data Science Project Management: A Case Study in a European OEM. AMCIS (2024)
Abdulrahman Nahhas, Andrey Kharitonov, Christian Haertel, Klaus Turowski
Imitation Learning Based on Deep Reinforcement Learning for Solving Scheduling Problems. HICSS (2024)
Christian Daase, Christian Haertel, Klaus Turowski
Explainable Business Intelligence for Video Analytics in Retail. ICEIS (1) (2024)
Christian Daase, Christian Haertel, Abdulrahman Nahhas, Klaus Turowski
Classifying Design Science Research in Terms of Types of Reasoning from an Epistemological Perspective. DESRIST (2024)
Matthias Pohl, Hannah Giegold, Christian Haertel, Daniel Staegemann, Klaus Turowski
Customer Identity Management in Health Insurance with Blockchain Technology: A Literature Review. BIOSTEC (2) (2024)
Christian Daase, Christian Haertel, Abdulrahman Nahhas, Alexander Zeier, Achim Ramesohl, Klaus Turowski
On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges. ICEIS (1) (2024)
Christian Haertel, Sarah Schramm, Matthias Pohl, Sascha Bosse, Daniel Staegemann, Christian Daase, Klaus Turowski
A Methodology for Constructing Patterns for the Management of Data Science Projects. ICEIS (1) (2024)
Daniel Staegemann, Matthias Volk, Matthias Pohl, Christian Haertel, Naoum Jamous, Klaus Turowski
Achieving Competitive Advantages Through Situation-Aware Big Data Engineering - When (Not) to Use Test Driven Development. AMCIS (2023)
Christian Haertel, Christian Daase, Daniel Staegemann, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators. KMIS (2023)
Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski
Data Valuation Methods - A Literature Review. AMCIS (2023)
Christian Haertel, Daniel Staegemann, Christian Daase, Matthias Pohl, Abdulrahman Nahhas, Klaus Turowski
MLOps in Data Science Projects: A Review. BigData (2023)
Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski
A Survey of Technology Selection Approaches in Data Science Projects. AMCIS (2023)
Matthias Pohl, Christian Haertel, Klaus Turowski
Value Creation from Data Science Applications - A Literature Review. BIR (2023)
Abdulrahman Nahhas, Christian Haertel, Christian Daase, Matthias Volk, Achim Ramesohl, Heiko Steigerwald, Alexander Zeier, Klaus Turowski
On the Integration of Google Cloud and SAP HANA for Adaptive Supply Chain in Retailing. ISM (2023)
Daniel Staegemann, Natalie Schröder, Christian Daase, Christian Haertel, Matthias Pohl, Robert Häusler, Johannes Hintsch, Klaus Turowski
Contrasting the Necessary Skills of Leaders in Classical and Agile Software Development. ISD (2023)
Daniel Staegemann, Christian Haertel, Christian Daase, Matthias Pohl, Klaus Turowski
A Meta-Review on the Use of Artificial Intelligence in the Context of Electrical Power Grid Operators. ICINCO (1) (2023)
Christian Daase, Christian Haertel, Abdulrahman Nahhas, Matthias Volk, Heiko Steigerwald, Achim Ramesohl, Bernd Schneider, Alexander Zeier, Klaus Turowski
Following the Digital Thread - A Cloud-Based Observation. ISM (2023)
Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski
The Linkage to Business Goals in Data Science Projects. ACIS (2023)
Daniel Staegemann, Matthias Pohl, Christian Haertel, Christian Daase, Mohammad Abdallah, Klaus Turowski
An Overview of the Approaches for Generating Test Data in the Context of the Quality Assurance of Big Data Applications. SITIS (2023)
Daniel Staegemann, Matthias Volk, Maneendra Perera, Christian Haertel, Matthias Pohl, Christian Daase, Klaus Turowski
A Literature Review on the Challenges of Applying Test-Driven Development in Software Engineering. Complex Syst. Informatics Model. Q. 31 (2022)
Sven Timmermann, Daniel Staegemann, Matthias Volk, Matthias Pohl, Christian Haertel, Johannes Hintsch, Klaus Turowski
Facilitating the Decentralisation of Software Development Projects from a Project Management Perspective: A Literature Review. FEMIB (2022)
Christian Haertel, Abdulrahman Nahhas, Christian Daase, Matthias Volk, Klaus Turowski
A Holistic View of Adaptive Supply Chain in Retailing Industry. AMCIS (2022)
Christian Haertel, Matthias Pohl, Daniel Staegemann, Klaus Turowski
Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview. Big Data (2022)
Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski
Toward A Lifecycle for Data Science: A Literature Review of Data Science Process Models. PACIS (2022)
Christian Haertel, Matthias Pohl, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Daniel Staegemann, Matthias Volk, Klaus Turowski
Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures. Int. J. Organ. Collect. Intell. 11 (4) (2021)
Christian Haertel, Matthias Pohl, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Daniel Staegemann, Matthias Volk, Klaus Turowski
Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models. FEMIB (2020)
Naoum Jamous, Christian Haertel, Marco Finkendei, Matthias Volk, Johannes Hintsch
IT Operation Management - A possibility in the flux of digitization. AMCIS (2018)