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ORCIDChristian Haertel
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2020 – today
- 2024
[j3]Christian Haertel, Vincent Donat, Daniel Staegemann, Christian Daase, Marco Finkendei, Klaus Turowski:
The Application of Data Science at Original Equipment Manufacturers: A Literature Review. IEEE Access 12: 114584-114600 (2024)- [c27]Pouya Ataei, Sri Regula, Christian Haertel, Daniel Staegemann:
Impact of Big Data Analytics on Business Performance: A systematic Literature Review. AMCIS 2024 - [c26]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 - [c25]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: 803-811 - [c24]Christian Daase, Christian Haertel, Abdulrahman Nahhas, Klaus Turowski:
Classifying Design Science Research in Terms of Types of Reasoning from an Epistemological Perspective. DESRIST 2024: 155-167 - [c23]Abdulrahman Nahhas, Andrey Kharitonov, Christian Haertel, Klaus Turowski:
Imitation Learning Based on Deep Reinforcement Learning for Solving Scheduling Problems. HICSS 2024: 1649-1658 - [c22]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: 354-365 - [c21]Christian Daase, Christian Haertel, Klaus Turowski:
Explainable Business Intelligence for Video Analytics in Retail. ICEIS (1) 2024: 784-791 - [c20]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: 845-856 - [c19]Andrey Kharitonov, Amro Abdalla, Abdulrahman Nahhas, Daniel Gunnar Staegemann, Christian Haertel, Christian Daase, Klaus Turowski:
A Literature Survey on Pitfalls of Open-Source Dependency Management in Enterprise. ICSOFT 2024: 15-22 - 2023
- [c18]Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski:
The Linkage to Business Goals in Data Science Projects. ACIS 2023 - [c17]Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski:
A Survey of Technology Selection Approaches in Data Science Projects. AMCIS 2023 - [c16]Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski:
Data Valuation Methods - A Literature Review. AMCIS 2023 - [c15]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 - [c14]Christian Haertel, Daniel Staegemann, Christian Daase, Matthias Pohl, Abdulrahman Nahhas, Klaus Turowski:
MLOps in Data Science Projects: A Review. IEEE Big Data 2023: 2396-2404 - [c13]Matthias Pohl
, Christian Haertel, Klaus Turowski:
Value Creation from Data Science Applications - A Literature Review. BIR 2023: 327-338 - [c12]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: 294-302 - [c11]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: 335-341 - [c10]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 - [c9]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: 1857-1866 - [c8]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: 1867-1876 - [c7]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: 30-37 - 2022
- [j2]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: 18-28 (2022) - [c6]Christian Haertel, Abdulrahman Nahhas, Christian Daase, Matthias Volk, Klaus Turowski:
A Holistic View of Adaptive Supply Chain in Retailing Industry. AMCIS 2022 - [c5]Christian Haertel, Matthias Pohl, Daniel Staegemann, Klaus Turowski:
Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview. IEEE Big Data 2022: 2645-2654 - [c4]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: 22-34 - [c3]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: 242 - 2021
- [j1]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): 35-54 (2021) - 2020
- [c2]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: 80-90
2010 – 2019
- 2018
- [c1]Naoum Jamous, Christian Haertel, Marco Finkendei, Matthias Volk, Johannes Hintsch:
IT Operation Management - A possibility in the flux of digitization. AMCIS 2018
Coauthor Index
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