Christian Haertel

46 papers B 6C 5Journal 3Unranked 32

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Review on Large Language Models and Generative AI in Banking. FEMIB Daniel Staegemann, Christian Haertel, Christian Daase, Matthias Pohl, Mohammad Abdallah, Klaus Turowski
2025	C	`conf`	A Review on the Use of Large Language Models in the Context of Open Government Data. DATA Daniel Staegemann, Christian Haertel, Matthias Pohl, Klaus Turowski
2025	C	`conf`	Democratizing the Access to Geospatial Data: The Performance Bottleneck of Unified Data Interfaces. DATA Matthias Pohl, Arne Osterthun, Joshua Reibert, Dennis Gehrmann, Christian Haertel, Daniel Staegemann, Klaus Turowski
2025	—	`conf`	Elevating Data Science Maturity: Toward a Process Model that Harnesses MLOps. IC3K (KEOD/KMIS) Christian Haertel, Daniel Staegemann, Matthias Pohl, Klaus Turowski
2025	—	`conf`	Examining the Impact of Cloud Computing on Organizational Performance: A Systematic Literature Review. ICEIS (1) Vincent Donat, Christian Haertel, Daniel Staegemann, Christian Daase, Matthias Pohl, Dirk Dreschel, Damanpreet Singh Walia, Klaus Turowski
2025	—	`conf`	Guiding Improvement in Data Science: An Analysis of Maturity Models. IC3K (KEOD/KMIS) Christian Haertel, Tom Engelmann, Abdulrahman Nahhas, Christian Daase, Klaus Turowski
2025	—	`conf`	How did the Emergence of ChatGPT Impact Stack Overflow? - A Literature Review. ISD Daniel Staegemann, Mariia Rizun, Christian Haertel, Matthias Pohl, Christian Daase, Klaus Turowski
2025	B	`conf`	Integration of Data Science Projects in Enterprise Architecture Modeling. EDOC Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski
2025	—	`conf`	Modular Generative Adversarial Networks for Support in Product Design. ISD Sanket Gaikwad, Christian Daase, Christian Haertel, Daniel Staegemann, Klaus Turowski
2025	—	`conf`	Performance Improvement of Information Systems with File-based Data Storage. ISD Matthias Pohl, Paul Langisch, Christian Haertel, Daniel Staegemann, Klaus Turowski
2025	—	`conf`	The Added Value of Data Science in Organizations - A Value Network Model Approach. BIR Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski
2025	—	`conf`	Toward a DataOps Framework for Enhancing Data Quality in Data Science. ISD Christian Haertel, Kunal Sanjay Sagavakar, Daniel Staegemann, Matthias Pohl, Matthias Volk, Klaus Turowski
2025	—	`conf`	Unveiling Data Science Team Roles and Competencies: A Literature-Based Analysis. AMCIS Christian Haertel, Maike Holtkemper, Daniel Staegemann, Christian Beecks, Klaus Turowski
2024	C	`conf`	A Literature Survey on Pitfalls of Open-Source Dependency Management in Enterprise. ICSOFT Andrey Kharitonov, Amro Abdalla, Abdulrahman Nahhas, Daniel Gunnar Staegemann, Christian Haertel, Christian Daase, Klaus Turowski
2024	—	`conf`	A Methodology for Constructing Patterns for the Management of Data Science Projects. ICEIS (1) Christian Haertel, Sarah Schramm, Matthias Pohl, Sascha Bosse, Daniel Staegemann, Christian Daase, Klaus Turowski
2024	B	`conf`	Categorization of Data Analytics Projects in Smart Manufacturing. IEEE Big Data Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski
2024	—	`conf`	Challenges in Data Science Project Management: A Case Study in a European OEM. AMCIS Christian Haertel, Vincent Donat, Daniel Staegemann, Matthias Pohl, Klaus Turowski
2024	—	`conf`	Classifying Design Science Research in Terms of Types of Reasoning from an Epistemological Perspective. DESRIST Christian Daase, Christian Haertel, Abdulrahman Nahhas, Klaus Turowski
2024	—	`conf`	Customer Identity Management in Health Insurance with Blockchain Technology: A Literature Review. BIOSTEC (2) Matthias Pohl, Hannah Giegold, Christian Haertel, Daniel Staegemann, Klaus Turowski
2024	B	`conf`	Data Lakehouse for Time Series Data: A Systematic Literature Review. IEEE Big Data Matthias Pohl, Nathira Dharindri Wijemanne, Daniel Staegemann, Christian Haertel, Christian Daase, Dirk Dreschel, Damanpreet Singh Walia, Arne Osterthun, Joshua Reibert, Klaus Turowski
2024	—	`conf`	Explainable Business Intelligence for Video Analytics in Retail. ICEIS (1) Christian Daase, Christian Haertel, Klaus Turowski
2024	—	`conf`	Imitation Learning Based on Deep Reinforcement Learning for Solving Scheduling Problems. HICSS Abdulrahman Nahhas, Andrey Kharitonov, Christian Haertel, Klaus Turowski
2024	—	`conf`	Impact of Big Data Analytics on Business Performance: A systematic Literature Review. AMCIS Pouya Ataei, Sri Regula, Christian Haertel, Daniel Staegemann
2024	—	`conf`	On the Current State of Generative Artificial Intelligence: A Conceptual Model of Potentials and Challenges. ICEIS (1) Christian Daase, Christian Haertel, Abdulrahman Nahhas, Alexander Zeier, Achim Ramesohl, Klaus Turowski
2024	J	`jnl`	The Application of Data Science at Original Equipment Manufacturers: A Literature Review. IEEE Access Christian Haertel, Vincent Donat, Daniel Staegemann, Christian Daase, Marco Finkendei, Klaus Turowski
2024	B	`conf`	Toward Improved Knowledge Retention: A Template for Describing Data Science Projects. IEEE Big Data Christian Haertel, Daniel Staegemann, Matthias Pohl, Christian Daase, Klaus Turowski
2023	—	`conf`	A Meta-Review on the Use of Artificial Intelligence in the Context of Electrical Power Grid Operators. ICINCO (1) Daniel Staegemann, Christian Haertel, Christian Daase, Matthias Pohl, Klaus Turowski
2023	—	`conf`	A Survey of Technology Selection Approaches in Data Science Projects. AMCIS Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski
2023	—	`conf`	Achieving Competitive Advantages Through Situation-Aware Big Data Engineering - When (Not) to Use Test Driven Development. AMCIS Daniel Staegemann, Matthias Volk, Matthias Pohl, Christian Haertel, Naoum Jamous, Klaus Turowski
2023	—	`conf`	An Overview of the Approaches for Generating Test Data in the Context of the Quality Assurance of Big Data Applications. SITIS Daniel Staegemann, Matthias Pohl, Christian Haertel, Christian Daase, Mohammad Abdallah, Klaus Turowski
2023	—	`conf`	Contrasting the Necessary Skills of Leaders in Classical and Agile Software Development. ISD Daniel Staegemann, Natalie Schröder, Christian Daase, Christian Haertel, Matthias Pohl, Robert Häusler, Johannes Hintsch, Klaus Turowski
2023	—	`conf`	Data Valuation Methods - A Literature Review. AMCIS Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski
2023	B	`conf`	MLOps in Data Science Projects: A Review. IEEE Big Data Christian Haertel, Daniel Staegemann, Christian Daase, Matthias Pohl, Abdulrahman Nahhas, Klaus Turowski
2023	—	`conf`	The Linkage to Business Goals in Data Science Projects. ACIS Matthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski
2023	—	`conf`	Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators. KMIS Christian Haertel, Christian Daase, Daniel Staegemann, Abdulrahman Nahhas, Matthias Pohl, Klaus Turowski
2023	—	`conf`	Value Creation from Data Science Applications - A Literature Review. BIR Matthias Pohl, Christian Haertel, Klaus Turowski
2022	—	`conf`	A Holistic View of Adaptive Supply Chain in Retailing Industry. AMCIS Christian Haertel, Abdulrahman Nahhas, Christian Daase, Matthias Volk, Klaus Turowski
2022	J	`jnl`	A Literature Review on the Challenges of Applying Test-Driven Development in Software Engineering. Complex Syst. Informatics Model. Q. Daniel Staegemann, Matthias Volk, Maneendra Perera, Christian Haertel, Matthias Pohl, Christian Daase, Klaus Turowski
2022	—	`conf`	Facilitating the Decentralisation of Software Development Projects from a Project Management Perspective: A Literature Review. FEMIB Sven Timmermann, Daniel Staegemann, Matthias Volk, Matthias Pohl, Christian Haertel, Johannes Hintsch, Klaus Turowski
2022	C	`conf`	Following the Digital Thread - A Cloud-Based Observation. ISM Christian Daase, Christian Haertel, Abdulrahman Nahhas, Matthias Volk, Heiko Steigerwald, Achim Ramesohl, Bernd Schneider, Alexander Zeier, Klaus Turowski
2022	C	`conf`	On the Integration of Google Cloud and SAP HANA for Adaptive Supply Chain in Retailing. ISM Abdulrahman Nahhas, Christian Haertel, Christian Daase, Matthias Volk, Achim Ramesohl, Heiko Steigerwald, Alexander Zeier, Klaus Turowski
2022	B	`conf`	Project Artifacts for the Data Science Lifecycle: A Comprehensive Overview. IEEE Big Data Christian Haertel, Matthias Pohl, Daniel Staegemann, Klaus Turowski
2022	—	`conf`	Toward A Lifecycle for Data Science: A Literature Review of Data Science Process Models. PACIS Christian Haertel, Matthias Pohl, Abdulrahman Nahhas, Daniel Staegemann, Klaus Turowski
2021	J	`jnl`	Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures. Int. J. Organ. Collect. Intell. Christian Haertel, Matthias Pohl, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Daniel Staegemann, Matthias Volk, Klaus Turowski
2020	—	`conf`	Comparative Study of e-Commerce Ventures: Copycat Enablers in Business Models. FEMIB Christian Haertel, Matthias Pohl, Sascha Bosse, Robert Häusler, Abdulrahman Nahhas, Daniel Staegemann, Matthias Volk, Klaus Turowski
2018	—	`conf`	IT Operation Management - A possibility in the flux of digitization. AMCIS Naoum Jamous, Christian Haertel, Marco Finkendei, Matthias Volk, Johannes Hintsch