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Christian Daase

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Journal Articles

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2024
[j4]
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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)
2023
[j3]
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Christian Daase, Daniel Staegemann, Matthias Volk, Klaus Turowski:
Creation of a Framework and a Corresponding Tool Enabling the Test-Driven Development of Microservices. J. Softw. 18(2): 55-69 (2023)
2022
[j2]
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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)
2020
[j1]
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Daniel Staegemann, Matthias Volk, Christian Daase, Klaus Turowski:
Discussing Relations Between Dynamic Business Environments and Big Data Analytics. Complex Syst. Informatics Model. Q. 23: 58-82 (2020)

Conference and Workshop Papers

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2024
[c24]
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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]
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Dominic Strube, Christian Daase, Jennifer Schietzel-Kalkbrenner:
Applications of Artificial Intelligence in Sustainability Assessment and Risk Management in European Banking. FEMIB 2024: 25-32
[c22]
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Jennifer Schietzel-Kalkbrenner, Niklas Petelkau, Dominic Strube, Christian Daase:
The Recruiting Process as an Attractiveness Factor: How Do Companies Manage to Position Themselves Competitively as Employers? FEMIB 2024: 54-59
[c21]
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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
[c20]
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Christian Daase, Christian Haertel, Klaus Turowski:
Explainable Business Intelligence for Video Analytics in Retail. ICEIS (1) 2024: 784-791
[c19]
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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
[c18]
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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
[c17]
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Christian Daase, Daniel Staegemann, Klaus Turowski:
Overcoming the Complexity of Quality Assurance for Big Data Systems: An Examination of Testing Methods. IoTBDS 2024: 358-369
2023
[c16]
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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
[c15]
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Christian Daase, Klaus Turowski:
Conducting Design Science Research in Society 5.0 - Proposal of an Explainable Artificial Intelligence Research Methodology. DESRIST 2023: 250-265
[c14]
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Dominic Strube, Christian Daase:
The Correlation of ESG Ratings and Abnormal Returns: An Event Study Using Machine Learning. FEMIB 2023: 76-81
[c13]
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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
[c12]
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Christian Daase, Matthias Volk, Daniel Staegemann, Klaus Turowski:
The Future of Commerce: Linking Modern Retailing Characteristics with Cloud Computing Capabilities. ICEIS (2) 2023: 418-430
[c11]
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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]
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Christian Daase, Anuraag Pandey, Daniel Staegemann, Klaus Turowski:
Sustainability in Robotic Process Automation: Proposing a Universal Implementation Model. ICINCO (1) 2023: 770-779
[c9]
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Daniel Staegemann, Sujith Sudhakaran, Christian Daase, Klaus Turowski:
Exploring the Test Driven Development of an Information Retrieval System. ICSBT 2023: 104-113
[c8]
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Christian Daase, Daniel Staegemann, Anastasija Nikiforova, Victor Chang, Johannes Hintsch, Matthias Volk, Klaus Turowski:
Towards the Creation of a Holistic Video Analytics Platform for Retail Environments. ICSBT 2023: 216-225
[c7]
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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
[c6]
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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
[c5]
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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
[c4]
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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
[c3]
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Christian Haertel, Abdulrahman Nahhas, Christian Daase, Matthias Volk, Klaus Turowski:
A Holistic View of Adaptive Supply Chain in Retailing Industry. AMCIS 2022
2021
[c2]
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Daniel Staegemann, Matthias Volk, Christian Daase, Matthias Pohl, Klaus Turowski:
A Concept for the Use of Chatbots to Provide the Public with Vital Information in Crisis Situations. ICICT (2) 2021: 281-289
2020
[c1]
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Christian Daase, Daniel Staegemann, Matthias Volk, Abdulrahman Nahhas, Klaus Turowski:
Automation of Customer Initiated Back Office Processes: A Design Science Research Approach to link Robotic Process Automation and Chatbots. ACIS 2020: 15

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